{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/at/lyft/"},"x-facet":{"type":"company","slug":"lyft","display":"Lyft","count":100},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b40f30d7-440"},"title":"Staff Product Manager I, Base Pricing","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product.</p>\n<p>Pricing is the primary economic engine of Lyft&#39;s marketplace , a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft&#39;s sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization. The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week.</p>\n<p><strong>Responsibilities:</strong></p>\n<p>As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it. That includes:</p>\n<ul>\n<li>Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)</li>\n<li>Improving how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions</li>\n<li>Re-evaluating how costs to fulfill a ride impact prices</li>\n<li>Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio</li>\n<li>Making our impact estimation models accurate and trusted by market management teams</li>\n<li>Evolving base pricing to function in a hybrid network with autonomous vehicles</li>\n<li>Work closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests.</li>\n<li>Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft&#39;s executive team.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products</li>\n<li>A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems</li>\n<li>Experience owning pricing, revenue management, or other economic levers with direct P&amp;L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus</li>\n<li>Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies</li>\n<li>Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design</li>\n<li>Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem</li>\n<li>Natural ability to make things happen around you; you manage ambiguity, complexity, and interdependencies across many teams in an organized and structured way</li>\n<li>Strong communication skills and intuition for communication strategy at every level , within teams, within the company, and with executives</li>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8917426002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8917426002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$176,000 - $220,000","x-skills-required":["microeconomics","Operations Research","Econometrics","Machine Learning","algorithmic systems","price optimization","elasticity modeling","cost modeling","SQL","data science"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-28T16:00:03.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"microeconomics, Operations Research, Econometrics, Machine Learning, algorithmic systems, price optimization, elasticity modeling, cost modeling, SQL, data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0c8f809f-620"},"title":"Staff Product Manager I, Base Pricing","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product.</p>\n<p>Product management at Lyft leads the integration of engineering, data science, and design to achieve the company&#39;s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry.</p>\n<p>Pricing is the primary economic engine of Lyft&#39;s marketplace , a high-precision, real-time system that processes millions of fare calculations per hour, balancing rider affordability, driver earnings, and Lyft&#39;s sustainable growth. The Pricing team sits at the intersection of the marketplace, mediating between rider demand and driver supply, and is a core pillar of the Rider Organization.</p>\n<p>The Base Pricing Team owns the systems that set the base price of a Lyft ride for every ride type, region, and ride intent. Behind these base prices is a machine-learning and optimization stack that predicts how the Lyft marketplace responds to price, translates the cost of serving a ride into a price, and recommends price changes across hundreds of markets every week. Base prices are the foundation of every fare, and they set the reference point that dynamic pricing and rider discounts build on.</p>\n<p><strong>Responsibilities:</strong></p>\n<p>As the Staff Product Manager for Base Pricing, you will own the vision and roadmap for how Lyft sets base prices, and define the success metrics that measure it. That includes:</p>\n<ul>\n<li>Determining the optimal granularity at which Lyft sets base prices (e.g., by time, location, and type of trip)</li>\n<li>Improving how our base price optimization engine works with downstream dynamic pricing systems to better respond to real-time market conditions</li>\n<li>Re-evaluating how costs to fulfill a ride impact prices</li>\n<li>Jointly optimizing prices across ride types, so that standard, alternative modes, and scheduled rides are priced as one portfolio</li>\n<li>Making our impact estimation models accurate and trusted by market management teams</li>\n<li>Evolving base pricing to function in a hybrid network with autonomous vehicles</li>\n<li>Work closely with cross-functional stakeholders (engineers, scientists, analysts), and partner teams (Driver Earnings, Verticals, Market Management) to align on a shared vision, define requirements, and prioritize inbound requests.</li>\n<li>Communicate roadmaps, experiment results, and pricing decisions clearly to audiences from partner teams up to Lyft&#39;s executive team.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of product management or relevant experience, with significant time spent on algorithmic, data-driven, pricing, or marketplace products</li>\n<li>A deep technical understanding of microeconomics, and ideally a background in Operations Research, Econometrics, Machine Learning, or algorithmic systems</li>\n<li>Experience owning pricing, revenue management, or other economic levers with direct P&amp;L impact; experience with price optimization, elasticity modeling, or cost modeling is a strong plus</li>\n<li>Experience running A/B tests and market-level experiments, using statistical and causal inference techniques to evaluate results, and developing post-launch testing strategies</li>\n<li>Experience with data, including querying, aggregation, analysis, and visualization; comfortable working directly in SQL and with data science partners on model design</li>\n<li>Ability to define and analyze metrics that inform the success of products, and excellent judgment about the dynamics of a product ecosystem</li>\n<li>Natural ability to make things happen around you; you manage ambiguity, complexity, and interdependencies across many teams in an organized and structured way</li>\n<li>Strong communication skills and intuition for communication strategy at every level , within teams, within the company, and with executives</li>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8922068002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8922068002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$176,000 - $220,000","x-skills-required":["microeconomics","Operations Research","Econometrics","Machine Learning","algorithmic systems","price optimization","elasticity modeling","cost modeling","SQL","data science"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-28T16:00:54.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"microeconomics, Operations Research, Econometrics, Machine Learning, algorithmic systems, price optimization, elasticity modeling, cost modeling, SQL, data science","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f05fc8ee-6e4"},"title":"Software Engineer, Identity","description":"<p>The Identity &amp; Integrity organization at Lyft is looking for software engineers to build, improve, and incorporate technologies that make the lives of the community more enriched and safe.</p>\n<p>As a Software Engineer in the Identity team, your primary responsibilities will encompass:</p>\n<ul>\n<li>Designing and enhancing Lyft&#39;s Login &amp; Signup Experiences, including Multi-factor authentication (MFA) experiences</li>\n<li>Optimizing verification funnels, including phone-based two-factor authentication (2FA), email verification, and identity provider single sign-ons (SSO)</li>\n<li>Overseeing session management and device validation</li>\n<li>Developing OAuth client provisioning and related tooling</li>\n<li>Acting as the frontline defense against fraudsters and phishers aiming to exploit rider and driver accounts through product vulnerabilities</li>\n<li>Implementing strategies to counteract risks posed by social engineering tactics</li>\n<li>Leading the maintenance and optimization of core microservices under the Identity team&#39;s purview</li>\n<li>Managing organizational structures and multi-user management systems</li>\n<li>Designing solutions for high-stakes challenges such as preventing unauthorized driving and thwarting abuse related to recycled phones and their numbers</li>\n</ul>\n<p>Responsibilities:</p>\n<ul>\n<li>Writing well-crafted, well-tested, readable, maintainable code</li>\n<li>Promoting appropriate tech and engineering best practices</li>\n<li>Implementing identity and security protocols to secure and protect Lyft users&#39; data at scale</li>\n<li>Partnering with teams across Lyft on identity and account security initiatives</li>\n<li>Sharing knowledge by giving brown bags, tech talks, and evangelizing appropriate tech and engineering best practices</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>3+ years of engineering experience working in any of these stacks; Python, GO, Java, etc.</li>\n<li>Experience with cloud service providers like Amazon Web Services (AWS), Google Cloud(GCP), Oracle Cloud, etc.</li>\n<li>Ability to write clear, scalable, and clear design documentation</li>\n<li>Relevant experience mentoring engineers on the team</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for the future</li>\n<li>Flexible paid time off policy</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8806552002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8806552002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","GO","Java","AWS","GCP","Oracle Cloud"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-15T08:17:17.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, GO, Java, AWS, GCP, Oracle Cloud"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6c85957f-ad5"},"title":"Software Engineer, AI Entries","description":"<p>Lyft is looking for a Backend Engineer to join the AI Entries team in the Applied AI department. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Establish engineering best practices and patterns; help uplift the team&#39;s craft and drive a culture of engineering excellence</li>\n<li>Drive high-impact projects and innovate new solutions to deliver the best user experience</li>\n<li>Produce and drive scalable system design for large, complex features , from idea through execution and launch</li>\n<li>Mentor engineers on the team, providing technical guidance and supporting their growth</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Participate in code reviews to ensure code quality and share knowledge across the team</li>\n<li>Participate in the team&#39;s on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms</li>\n<li>Have the ability to explain the various trade offs made in decisions</li>\n<li>Manage project priorities, deadlines, and deliverables.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.</li>\n<li>3+ years of software engineering/production infrastructure industry experience.</li>\n<li>Experience with Python and Go.</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB</li>\n<li>Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows</li>\n<li>Proficiency in object-oriented programming.</li>\n<li>Experience working with data structures or algorithms.</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional team.</li>\n<li>Bonus points: Experience with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8923592002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8923592002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Go","cloud platforms","distributed systems","databases","object-oriented programming","data structures","algorithms"],"x-skills-preferred":["LLM orchestration","Vector Databases","building APIs for conversational agents"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-29T15:38:07.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, cloud platforms, distributed systems, databases, object-oriented programming, data structures, algorithms, LLM orchestration, Vector Databases, building APIs for conversational agents"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ffa6f9e8-830"},"title":"Senior Technical Program Manager, Central","description":"<p>At Lyft, our mission is to improve people&#39;s lives with the world&#39;s best transportation.</p>\n<p>The Central TPM team drives Lyft&#39;s highest-impact product and technology initiatives from concept to launch. Central TPMs are technically strong program leaders who operate from a product and engineering point of view and bridge the gap to other functions, such as comms, marketing, BD, support, and external partners, ensuring each is a core partner in the program.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Co-own program strategy with Product and Engineering, and influence company strategy, technical architecture, and roadmap tradeoffs.</li>\n<li>Lead end-to-end delivery of Lyft&#39;s top-priority cross-functional initiatives from concept to launch, with clear goals, milestones, and definition of done.</li>\n<li>Develop and execute integration roadmaps, strategies, and playbooks for acquisitions and strategic partnerships.</li>\n<li>Define how the program runs, including roles and decision rights, escalation paths, and communication plan, and hold workstream owners accountable.</li>\n<li>Anticipate risks early, drive mitigation plans, and aggressively resolve systemic issues blocking delivery.</li>\n<li>Communicate with transparency at every level, from engineers to the C-suite, sharing progress, risks, and tradeoffs clearly and directly.</li>\n<li>Present data-backed options to decision makers and drive decisions to closure.</li>\n<li>Contribute to team health by building delivery best practices, mentoring other TPMs, and supporting recruiting and onboarding.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>7+ years in Technical Program Management or a TPM/PM hybrid role, including leading large, highly cross-functional programs.</li>\n<li>A background in software engineering, systems engineering, or data science, strong enough to go deep with engineers and product leadership.</li>\n<li>Experience delivering programs on large-scale production systems.</li>\n<li>Proven ability to operate autonomously in significant ambiguity, with only high-level direction.</li>\n<li>Track record of shaping strategy and roadmaps, with strong dependency and risk management.</li>\n<li>Ability to influence, negotiate, and build alignment in a matrixed environment without formal authority.</li>\n<li>Experience bridging product and engineering with business functions, such as in acquisitions, partnerships, or go-to-market launches, is a strong plus.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8921735002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8921735002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical Program Management","Software Engineering","Systems Engineering","Data Science","Leadership"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-28T18:29:55.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"Technical Program Management, Software Engineering, Systems Engineering, Data Science, Leadership"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_925947c0-280"},"title":"Senior Product Manager, Rider ML/AI","description":"<p>The Rider Recommendations team at Lyft is an Applied AI and Machine Learning team focused on personalizing real-time decisions within the Rider Apps. As a Senior Product Manager, you will work closely with machine learning, AI engineers, and data scientists to define objectives for the team&#39;s models and interface with stakeholders to understand their needs and Lyft&#39;s overall goals.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define, own, and be responsible for the roadmap of applied ML and AI products in every screen of the Rider Application, through the Rider conversion funnel</li>\n<li>Define, track, and periodically report on metrics and KPIs of the team, being directly responsible for financial outcomes that the team drives</li>\n<li>Define the objective function to be maximized/minimized throughout the rider app, taking into account short-term, long-term, and stakeholder teams&#39; objectives</li>\n<li>Work with data science to define, measure, and predict long-term value of Riders</li>\n<li>Identify how to cold start new launches of region, modes, and features to effectively drive adoption while maintaining algorithm performance</li>\n<li>Work in a cross-functional team building a unified Rider profile vision by identifying, collecting, and organizing information about Riders for ML and AI training</li>\n<li>Write detailed product requirements, strategy, and planning documents to drive alignment on product development and create predictable outcomes for workstreams</li>\n<li>Design, run, and analyze experiments and ongoing evaluation systems to monitor model performance and evaluate improvements</li>\n<li>Present to non-technical leadership on the progress of the team monthly, showcasing progress and highlighting roadblocks</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Experience driving technically complex machine learning (ML) products end-to-end, from inception to launch with significant user adoption, to sunset</li>\n<li>Experience in managing a team of software engineers, tracking progress towards a roadmap through appropriate tools</li>\n<li>Experience with user-facing large-scale experimentation and knowledge of concepts such as power and statistical significance</li>\n<li>Experience in using AI agents to accelerate day-to-day execution</li>\n<li>Knowledge of how machine learning and AI work, including widely known machine learning and deep learning packages</li>\n<li>Familiarity with crafting and leading presentations to small groups at the CXO executive level and to big teams</li>\n<li>Ability to review and provide critical product feedback to technical specifications written by engineers</li>\n<li>Ease in driving results and operating independently in flat-structured organizations</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off and 18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8916924002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8916924002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","AI","Product Management","Data Science","Experimentation","Statistical Significance","Python","Deep 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audiences</li>\n<li>Detail oriented: Balancing multiple projects, deadlines, and requests should be second nature to you</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. 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If you enjoy a clean reconciliation and a smooth close, we&#39;d love to meet you.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own payroll-related journal entries for our US (HQ) and North American international subsidiaries, from preparation through booking.</li>\n<li>Prepare payroll accruals, including monthly payroll, bonus, workers&#39; compensation, PTO, and commissions.</li>\n<li>Complete month-end and quarter-end close activities on schedule, in line with our internal close calendar.</li>\n<li>Reconcile and analyze payroll-related GL accounts in accordance with GAAP and Lyft&#39;s accounting policies, and perform flux analysis to explain monthly and quarterly movements.</li>\n<li>Investigate and resolve reconciling items in partnership with FP&amp;A and the Payroll team.</li>\n<li>Build a deep understanding of our pay classes, pay codes, and payroll processing activities so you can connect what happens in payroll to what lands in the GL.</li>\n<li>Keep payroll records organized and audit-ready, and help maintain and strengthen our internal controls.</li>\n<li>Identify opportunities to streamline or automate recurring close work, and help bring them to life.</li>\n<li>Support ad hoc projects as they come up.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Accounting or Finance; CPA is a plus.</li>\n<li>4+ years of general ledger accounting experience, including 2+ years in payroll accounting.</li>\n<li>Hands-on experience owning month-end close in a fast-paced, multi-entity environment.</li>\n<li>Strong command of GAAP.</li>\n<li>The ability to work independently, stay organized, and hit deadlines without sacrificing accuracy.</li>\n<li>Clear, friendly communication and a collaborative approach with cross-functional partners.</li>\n<li>A deep respect for confidentiality and data integrity.</li>\n<li>Advanced Excel skills (lookups, pivot tables, and clean, reviewable workpapers).</li>\n<li>Experience with finance and payroll systems such as Workday, Oracle, ADP Globalview, or similar.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. 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We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. We are building a new business. Alcove is Lyft&#39;s new global chauffeur network: one premium chauffeured service for executive travel, financial roadshows, VIP movements and multi-car events, with consistent standards across 120+ countries. Alcove brings together TBR Global Chauffeuring&#39;s three decades of white-glove service with Lyft&#39;s technology and marketplace experience. Today, corporate travel teams work with different suppliers, contracts, pricing and service standards in every market. Alcove replaces that with a modern booking portal, a dedicated mobile app and a single global standard of service. It will launch in early 2027 as its own brand, separate from the Lyft app, and complements Lyft Black and Lyft Business, so companies can use Alcove for executive travel and Lyft for everyday travel at scale. 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This person will be a trusted advisor to senior leaders and a go-to communications expert on business priorities.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Develop and own an annual communications roadmap for designated areas of the business, connecting communications to business objectives and measuring impact against clear outcomes.</li>\n<li>Serve as a key advisor to senior leaders on communications strategy and execution, influencing what is communicated, when, and how.</li>\n<li>Become the go-to communications expert on the business areas you support, with a deep understanding of their roadmap, challenges, and priorities.</li>\n<li>Lead large, complex, multi-quarter communications programs that span multiple teams and functions, motivating partners to take ownership and staying aligned with business priorities.</li>\n<li>Craft high-level, clear messaging for executive leaders and company-wide distribution.</li>\n<li>Lead communications response for complex, multi-stakeholder situations, including crisis and change management.</li>\n<li>Anticipate communications challenges and proactively develop solutions to address them before they arise.</li>\n<li>Use data and industry insights to inform strategy, and continuously improve how we communicate.</li>\n<li>Set high standards for communications quality, and support the growth of others on the team through mentorship and feedback.</li>\n<li>Maintain the Lyft brand and voice across all communications, written and verbal.</li>\n<li>Keep Lyft fun!</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>8+ years of experience leading communications strategy and execution, with significant internal or executive communications experience</li>\n<li>Proven track record as a trusted advisor to senior executives</li>\n<li>Experience leading multi-quarter, cross-functional communications programs with measurable business impact</li>\n<li>Ability to fluidly navigate between strategy and execution, from developing strategic plans to producing crisp, clear communications</li>\n<li>Experience leading communications through crisis and significant organisational change</li>\n<li>Experience communicating complex business, product, or technology topics in a way that resonates with a broad audience</li>\n<li>Experience tailoring communications to distributed and global workforces, including full-time and hourly team members</li>\n<li>A clear point of view on how AI can improve communications effectiveness, and experience putting it into practice</li>\n<li>Experience mentoring others and raising the bar for a team&#39;s work</li>\n<li>Thrives in highly fluid situations and fast-paced environments</li>\n<li>Excellent written and verbal communication skills</li>\n<li>Lyft user/believer</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. 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This role sits on the Social &amp; Culture team and owns influencer initiatives across critical projects.</p>\n<p>The ideal candidate will spot viral creators, close deals, launch campaigns, and maintain relationships. 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In this role, you will oversee indirect spend categories supporting our Safety and Customer Care, People, and Contingent Workforce portfolios, including the technology spend underlying each.</p>\n<p>You will develop and execute comprehensive sourcing strategies, manage strategic supplier relationships, negotiate complex contracts, and collaborate with cross-functional teams to support business growth, while delivering measurable cost savings and operational excellence.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and execute long-term Category Strategies for managed categories to achieve cost optimization, drive efficiencies, improve supplier health, and ensure continuous supply</li>\n<li>Drive continuous improvement initiatives and strategy, leveraging technology and data analytics to enhance sourcing effectiveness</li>\n<li>Lead the end-to-end procurement process, including market analysis, RFx development, supplier evaluation, and contract negotiation</li>\n<li>Perform pricing and cost analysis using Excel (pivot tables, lookups, modeling) to build cost models, support supplier evaluation and category strategy decisions, and quantify savings opportunities</li>\n<li>Implement supplier relationship management (SRM) programs and KPIs to drive optimal performance</li>\n<li>Collaborate with internal cross-functional stakeholders to understand their needs and ensure alignment with business objectives and budgets</li>\n<li>Serve as an advisor and partner to the business to provide subject matter expertise, guidance, and drive best practices and processes</li>\n<li>Strong negotiation skills and experience managing complex contracts</li>\n<li>Knowledge and understanding of contracts to collaborate with Legal, Compliance, and Security teams</li>\n<li>Excellent communication and interpersonal skills, with the ability to influence at all levels of the organization</li>\n<li>Strong analytical and ability to interpret data, identify trends, and make data-driven decisions</li>\n<li>Strong project management skills, with the ability to lead multiple projects simultaneously</li>\n<li>Support mergers, acquisitions, and business expansion activities through strategic sourcing expertise</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>A bachelor&#39;s degree in Supply Chain Management, Business Administration, Engineering, or a related field is typically required.</li>\n<li>Relevant certifications (e.g., CSCP, CPM) may be advantageous.</li>\n<li>3 to 5+ years of experience in procurement or strategic sourcing, with a focus on indirect categories.</li>\n<li>Experience with procurement technology platforms (e.g., Oracle, Zip), advanced analytics tools, and Google Workspace</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8856992002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8856992002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Supply Chain Management","Business Administration","Engineering","Procurement","Strategic Sourcing","Excel","Data Analytics","Project Management","Negotiation","Contract Management","Communication","Interpersonal Skills","Analytical Skills"],"x-skills-preferred":["CSCP","CPM","Oracle","Zip","Google Workspace"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-29T23:26:56.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"Supply Chain Management, Business Administration, Engineering, Procurement, Strategic Sourcing, Excel, Data Analytics, Project Management, Negotiation, Contract Management, Communication, Interpersonal Skills, Analytical Skills, CSCP, CPM, Oracle, Zip, Google Workspace"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28d5ce13-eee"},"title":"Global Supply Manager","description":"<p>Lyft is seeking an experienced Indirect Global Supply Manager to join our Global Supply Chain Team. In this role, you will oversee indirect spend categories supporting our Safety and Customer Care, People, and Contingent Workforce portfolios, including the technology spend underlying each.</p>\n<p>You will develop and execute comprehensive sourcing strategies, manage strategic supplier relationships, negotiate complex contracts, and collaborate with cross-functional teams to support business growth, while delivering measurable cost savings and operational excellence.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and execute long-term Category Strategies for managed categories to achieve cost optimization, drive efficiencies, improve supplier health, and ensure continuous supply</li>\n<li>Drive continuous improvement initiatives and strategy, leveraging technology and data analytics to enhance sourcing effectiveness</li>\n<li>Lead the end-to-end procurement process, including market analysis, RFx development, supplier evaluation, and contract negotiation</li>\n<li>Perform pricing and cost analysis using Excel (pivot tables, lookups, modeling) to build cost models supporting supplier evaluation and category strategy decisions and quantifying savings opportunities</li>\n<li>Implement supplier relationship management (SRM) programs and KPIs to drive optimal performance</li>\n<li>Collaborate with internal cross-functional stakeholders to understand their needs and ensure alignment with business objectives and budgets</li>\n<li>Serve as an advisor and partner to the business to provide subject matter expertise, guidance, and drive best practices and processes</li>\n<li>Strong negotiation skills and experience managing complex contracts</li>\n<li>Knowledge and understanding of contracts to collaborate with Legal, Compliance, and Security teams</li>\n<li>Excellent communication and interpersonal skills, with the ability to influence at all levels of the organization</li>\n<li>Strong analytical and ability to interpret data, identify trends, and make data-driven decisions</li>\n<li>Strong project management skills, with the ability to lead multiple projects simultaneously</li>\n<li>Support mergers, acquisitions, and business expansion activities through strategic sourcing expertise</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>A bachelor&#39;s degree in Supply Chain Management, Business Administration, Engineering, or a related field is typically required.</li>\n<li>Relevant certifications (e.g., CSCP, CPM) may be advantageous.</li>\n<li>3 to 5+ years of experience in procurement or strategic sourcing, with a focus on indirect categories.</li>\n<li>Experience with procurement technology platforms (e.g., Oracle, Zip), advanced analytics tools, and Google Workspace</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8856438002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8856438002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Supply Chain Management","Business Administration","Engineering","Procurement","Strategic Sourcing","Excel","Data Analytics","Project Management","Negotiation","Contract Management"],"x-skills-preferred":["CSCP","CPM","Oracle","Zip","Google Workspace"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-29T23:26:52.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"Supply Chain Management, Business Administration, Engineering, Procurement, Strategic Sourcing, Excel, Data Analytics, Project Management, Negotiation, Contract Management, CSCP, CPM, Oracle, Zip, Google Workspace"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_78e0cab1-f4e"},"title":"Engineering Manager, Developer Environments","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft&#39;s engineering team is growing rapidly, and we are looking for engineering managers to help us scale. Our engineers are smart, flexible, and love solving difficult challenges. They look to their managers for organisational transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean.</p>\n<p>As the Engineering Manager for the Developer Environments team, you will lead a talented group of engineers responsible for building and maintaining critical infrastructure that enhances developer productivity and system reliability. The team builds and supports the environments where developers work and test as well as simulation systems and tools. Some of these systems are critical to the SDLC of engineers at Lyft, others ensure Lyft&#39;s production services can handle the load of customer demand during peak events like New Year&#39;s Eve, while optimising for efficiency throughout the remainder of the year.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead Infrastructure Engineering teams responsible for maintaining and improving our infrastructure</li>\n<li>Balance feature development speed and reliability with service-level objectives</li>\n<li>Mentor and guide the professional and technical development of your team members</li>\n<li>Build teams that are collaborative, inclusive, and respectful of each other</li>\n<li>Provide continuous feedback, support individuals on improving or optimising their performance, and recognise the strengths and contributions of your team members</li>\n<li>Create plans for prioritising technical and resourcing challenges in your organisation</li>\n<li>Maintain a balance between building sustainable, high-impact projects and shipping things quickly</li>\n<li>Instil a spirit of continuous improvement in the team&#39;s code, architecture, and processes</li>\n<li>Work closely with the Lyft recruiting team to hire high potential candidates from diverse backgrounds</li>\n<li>Work with your engineers and stakeholders to maintain a prioritised backlog and create short term and long term goals</li>\n<li>Own your team&#39;s deliverables and ensure we continue to ship scalable, highly-available products that delight our passengers and drivers</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>2+ years of experience as an Engineering Manager</li>\n<li>Previous experience managing Infrastructure teams a bonus</li>\n<li>You have a technical background and are able to contribute to planning and design discussions</li>\n<li>You are proficient in one or more high-level programming languages, such as Python, Go, Rust, or Javascript</li>\n<li>Experience working on teams responsible for maintaining and operating production software and infrastructure at a large-scale</li>\n<li>You are steadfastly focused on your customers, whether they are drivers, passengers, or other Lyft employees</li>\n<li>Experience leading a team of engineers and supporting them through career development</li>\n<li>You have built teams and products that scale with a company&#39;s evolving needs</li>\n<li>You enjoy working in a collaborative environment, and you&#39;re committed to driving projects to completion</li>\n<li>You have built teams that are motivated and value a strong sense of ownership</li>\n<li>Experience supporting teams through planning, prioritisation, and execution of work</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8921760002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8921760002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$176,000 - $220,000","x-skills-required":["Python","Go","Rust","Javascript"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-29T16:23:03.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Rust, Javascript","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":176000,"maxValue":220000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_aad531c6-f5c"},"title":"Director, Bid Strategy & Pricing","description":"<p>The Director, Bid Strategy &amp; Pricing leads how Lyft Urban Solutions identifies, shapes, and wins new business. This role brings together commercial strategy, business intelligence, demand planning, and bid management in one function.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Commercial Strategy, Business Intelligence, and Demand Planning</strong></p>\n<ul>\n<li>Shape the commercial strategy with the Head of Commercial Strategy &amp; Delivery, including target markets, regions of focus, and growth priorities.</li>\n<li>Lead the Commercial Strategy &amp; Demand Planning Manager across planning, pricing policy, business intelligence, and demand planning.</li>\n<li>Build business and bid intelligence that drives strategy, pipeline, and pursuit decisions.</li>\n<li>Own demand planning and pipeline forecasting, aligning bid capacity and resources with expected opportunities and revenue targets.</li>\n</ul>\n<p><strong>Pre-Tender, Capture, and Bid/No-Bid</strong></p>\n<ul>\n<li>Own a gated process that all pre-tender pursuits follow, aligned with commercial strategy and target regions.</li>\n<li>Deliver capture plans for strategic and specific pursuits, shaping opportunities well before tender release.</li>\n<li>Own bid/no-bid recommendations, presenting a clear view of strategic fit, path to win, risk, and financial return to senior leadership.</li>\n</ul>\n<p><strong>Bid Strategy and Execution</strong></p>\n<ul>\n<li>Frame each bid to win: set win themes, value proposition, competitive discriminators, and pricing position at kickoff.</li>\n<li>Shape solutions and commercial offers with Operations, Technical, Finance, and Legal so they are competitive, deliverable, and profitable.</li>\n<li>Build and challenge bid financial models, pricing, and business cases, ensuring every bid meets agreed margin thresholds.</li>\n<li>Embed disciplined bid planning, with clear milestones, review gates, owners, and deadlines.</li>\n</ul>\n<p><strong>Leadership and Partnership</strong></p>\n<ul>\n<li>Lead and develop a team of Bid Managers, Bid Specialists, Bid Coordinators, and the Commercial Strategy &amp; Demand Planning Manager as one high-performing function.</li>\n<li>Direct cross-functional bid teams with authority and hold contributors accountable to deadlines.</li>\n<li>Make timely, confident decisions under ambiguity and balance risk against win potential.</li>\n<li>Connect sales, bids, contracts, and delivery, so what we sell is what we can deliver profitably.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>12+ years in bid, capture, commercial, or business development roles, including 5+ years leading teams at a senior manager, director level, or equivalent.</li>\n<li>Commercially and sales-savvy: a track record of winning large, complex tenders and a strong understanding of sales cycles, customer relationships, and market positioning.</li>\n<li>Strategic: able to frame opportunities, set bid strategy, and make clear recommendations to executives.</li>\n<li>Technically proficient: able to understand and shape technical and operational solutions, engage credibly with SMEs, and turn requirements into compelling, deliverable offers.</li>\n<li>Financially strong: skilled in financial modeling, pricing, P&amp;L, cash flow, and margin management, and able to defend bid financials with Finance and executive leadership.</li>\n<li>A confident leader: builds high-performing teams and influences senior stakeholders across functions.</li>\n<li>Professional fluency in French and English, written and spoken.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>Flexible paid time off policy</li>\n<li>Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8922700002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8922700002","x-work-arrangement":null,"x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["commercial strategy","business intelligence","demand planning","bid management","financial modeling","pricing","P&L","cash flow","margin management","French","English"],"x-skills-preferred":["APMP","Shipley","multi-region bidding"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-29T19:13:36.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"commercial strategy, business intelligence, demand planning, bid management, financial modeling, pricing, P&L, cash flow, margin management, French, English, APMP, Shipley, multi-region bidding"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b17b7333-9a2"},"title":"Directeur(trice), Appels d'offres, Stratégie et tarification","description":"<p>We are seeking a Director, Bid Strategy and Pricing to lead our Urban Solutions team&#39;s bid strategy and pricing efforts.</p>\n<p>The successful candidate will be responsible for defining commercial strategy, developing business intelligence, and leading cross-functional teams to win new business opportunities.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and execute commercial strategy, including target markets, priority regions, and growth priorities</li>\n<li>Lead a team of bid managers, specialists, and coordinators to deliver high-performing bid submissions</li>\n<li>Conduct business intelligence and market analysis to inform bid strategy and decision-making</li>\n<li>Collaborate with cross-functional teams, including sales, operations, and finance, to develop winning bids</li>\n<li>Develop and manage financial models, pricing strategies, and business cases for bids</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>12+ years of experience in bid management, business development, or commercial roles, with 5+ years in leadership positions</li>\n<li>Proven track record of success in complex bid environments</li>\n<li>Strong commercial acumen, strategic thinking, and analytical skills</li>\n<li>Excellent communication, leadership, and stakeholder management skills</li>\n<li>Fluency in French and English; proficiency in a third language an asset</li>\n</ul>\n<p><strong>What Success Looks Like:</strong></p>\n<ul>\n<li>Improved bid success rates through clear strategy and compelling bids</li>\n<li>Enhanced business intelligence and demand planning capabilities</li>\n<li>Strong, cohesive team recognized as trusted partners across the organization</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Comprehensive health, dental, and vision insurance</li>\n<li>Mental health support program</li>\n<li>Fertility and family planning support</li>\n<li>Pet care benefits</li>\n<li>Health savings account</li>\n<li>Retirement savings plan options</li>\n<li>Flexible paid time off policy</li>\n<li>18 weeks of paid parental leave</li>\n<li>Transportation benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8923735002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8923735002","x-work-arrangement":"hybrid","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":"CAD $182,000 - CAD $227,000","x-skills-required":["bid management","business development","commercial strategy","leadership","financial modelling","pricing strategy","business intelligence","market analysis","stakeholder management","French","English"],"x-skills-preferred":["APMP or Shipley methodologies","experience with multiple regions","bid and delivery experience"],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-29T19:13:32.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"bid management, business development, commercial strategy, leadership, financial modelling, pricing strategy, business intelligence, market analysis, stakeholder management, French, English, APMP or Shipley methodologies, experience with multiple regions, bid and delivery experience","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":182000,"maxValue":227000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cc30f211-467"},"title":"Coordonnateur des appels d'offres","description":"<p>We are seeking a highly organised and detail-oriented Bid Coordinator to join our team in Montreal. The successful candidate will be responsible for coordinating the bid process, ensuring that all bids are submitted on time and meet the requirements.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Provide support to bid managers in planning and scheduling bids</li>\n<li>Create and maintain tracking tools, calendars, and responsibility matrices for each bid</li>\n<li>Ensure plans are updated according to changes in schedule and notify bid managers of any risks related to deadlines</li>\n<li>Monitor and follow up on deliverables, deadlines, and contributions from team members</li>\n<li>Coordinate meetings and reviews, prepare agendas, and distribute minutes</li>\n<li>Manage document control, including setting up and maintaining bid folders, version control, and naming conventions</li>\n<li>Assist with preparing bid documents, including assembling, formatting, and producing final documents</li>\n<li>Maintain a library of bid content, templates, case studies, and company information</li>\n<li>Support pre-bid activities, including preparing review documents and tracking approvals</li>\n<li>Monitor bid portals and opportunity sources, and record new opportunities</li>\n<li>Contribute to process improvements and lessons learned</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>2-4 years of experience in coordination, project support, or bid administration</li>\n<li>Excellent organisational and time management skills, with ability to manage multiple deadlines and priorities</li>\n<li>Exceptional attention to detail and methodical approach to task management</li>\n<li>Strong communication and interpersonal skills</li>\n<li>Advanced proficiency in Microsoft Office or Google Workspace, particularly Excel and Word</li>\n<li>Bachelor&#39;s degree or equivalent experience</li>\n</ul>\n<p><strong>Preferred Qualifications:</strong></p>\n<ul>\n<li>Experience in public sector or formal procurement bidding</li>\n<li>Familiarity with project management tools, such as Smartsheet, Asana, or Jira</li>\n<li>APMP Foundation certification or training in project coordination</li>\n<li>Basic skills in document layout and design</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Comprehensive health, dental, and vision insurance</li>\n<li>Mental health support program</li>\n<li>Fertility and family planning support</li>\n<li>Pet care benefits</li>\n<li>Health savings account</li>\n<li>Retirement savings plan options</li>\n<li>Flexible paid time off policy</li>\n<li>18 weeks of paid parental leave</li>\n<li>Transportation benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8903751002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8903751002","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"CAD $61,200 - CAD $76,500","x-skills-required":["Microsoft Office","Google Workspace","project coordination","bid administration","time management","organisational skills"],"x-skills-preferred":["Smartsheet","Asana","Jira","APMP Foundation","document layout and design"],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-26T13:23:39.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Microsoft Office, Google Workspace, project coordination, bid administration, time management, organisational skills, Smartsheet, Asana, Jira, APMP Foundation, document layout and design","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":61200,"maxValue":76500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9fbdd73c-494"},"title":"Bid Coordinator","description":"<p>The Bid Coordinator is the organisational backbone of the bid team, ensuring every bid runs to a rigorous, well-managed process. This role involves coordinating with Bid Managers and Bid Specialists to meet deadlines, track progress, and maintain compliance.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Bid Planning and Scheduling Support: Support Bid Managers in building bid plans, setting up bid trackers, and maintaining schedules.</li>\n<li>Tracking, Follow-Up, and Accountability: Track deliverables, send reminders, and escalate missed deadlines.</li>\n<li>Tender Documentation and Compliance: Review tender documents, produce compliance matrices, and run final compliance checks.</li>\n<li>Meeting and Review Coordination: Schedule meetings, prepare agendas, and distribute actions.</li>\n<li>Document and Content Management: Manage bid folders, version control, and document naming conventions.</li>\n<li>Pre-Tender and Pipeline Administration: Support pre-tender processes, monitor tender portals, and log new opportunities.</li>\n<li>Process Improvement and Lessons Learned: Embed consistent bid processes, organise post-submission debriefs, and suggest improvements.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>2–4 years of experience in a coordination, project support, or administrative role.</li>\n<li>Strong organisational and time management skills.</li>\n<li>Exceptional attention to detail and methodical approach to tracking work.</li>\n<li>Confident communication skills and advanced proficiency in Microsoft Office or Google Workspace.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Extended health and dental coverage</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Pet benefits</li>\n<li>Access to a Lyft-funded Health Care Savings Account</li>\n<li>RRSP plan with company match</li>\n<li>Flexible paid time off policy</li>\n<li>Subsidised commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8902979002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8902979002","x-work-arrangement":null,"x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Microsoft Office","Google Workspace","project tracking tools","coordination","time management","attention to detail","communication"],"x-skills-preferred":["Experience supporting public sector or formal procurement tenders","Familiarity with project management tools","APMP Foundation certification","Basic document formatting or design skills"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-26T13:23:38.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"Microsoft Office, Google Workspace, project tracking tools, coordination, time management, attention to detail, communication, Experience supporting public sector or formal procurement tenders, Familiarity with project management tools, APMP Foundation certification, Basic document formatting or design skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8378a7b8-202"},"title":"VP, Global People Business Partners","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft is in a defining moment: accelerating growth, expanding internationally, and building the world&#39;s leading hybrid rideshare network. How we build, organize, and lead our people will determine how well we get there. As Vice President, People, you will help drive the business forward through the strength of our people strategy, serving as a right hand to our Chief People Officer and a trusted advisor to Lyft&#39;s executive leadership team. This is a high-impact role for a seasoned people executive who operates at altitude and on the ground in equal measure, thrives in fast-paced, dynamic environments, and is energized by the chance to own some of the most complex and consequential work in the function.</p>\n<p>Reporting to the Chief People Officer, you will lead the People Business Partner organization, own workforce planning for the enterprise, and drive the human capital strategy behind Lyft&#39;s M&amp;A activity from diligence through integration. You&#39;ll partner directly with the executive leadership team, represent the People function in cross-functional forums, and shape the org design, structure and ways of working that will carry Lyft into its next chapter. You&#39;ll anticipate challenges, help leaders look around corners, and bring forward-thinking solutions to keep Lyft&#39;s workforce agile, engaged, and ready for the future while shaping how the People function itself grows from here.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Executive Partnership &amp; People Strategy</strong></p>\n<ul>\n<li>Partner directly with the Chief People Officer and executive leadership team on the people strategy behind Lyft&#39;s most significant business decisions, acting as a trusted advisor and bringing best-in-class practices to enable growth.</li>\n</ul>\n<p><strong>People Business Partnering &amp; Org Leadership</strong></p>\n<ul>\n<li>Own the Global People Business Partner function (team of 14) end to end across Lyft&#39;s global footprint , strategy, structure, and team leadership , driving organizational effectiveness and modernizing how the function delivers value at scale across every market, region, and legal entity we operate in. Get into the details when it matters , from a thorny org design problem to a retention conversation with a critical hire.</li>\n<li>Anticipate workforce challenges and guide leaders through complex organizational change with empathy and strategic foresight</li>\n<li>Shape scalable team structures and influence how Lyft builds leadership pipelines, attracts, develops, and retains top talent across the company</li>\n<li>Lead, empower, and develop a team of high-performing People Business Partners, fostering a culture of strategic impact, continuous growth, and bench strength for the function&#39;s next generation of leaders</li>\n</ul>\n<p><strong>M&amp;A Human Capital</strong></p>\n<ul>\n<li>Lead the human capital workstream for Lyft&#39;s international M&amp;A activity, including cultural and talent due diligence, retention-risk assessment, org design and integration planning, comp and benefits harmonization, and Day 1 readiness for newly acquired teams , including cross-border and works-council considerations. You&#39;re as comfortable running the details of a deal integration as you are advising the executive team on strategy.</li>\n</ul>\n<p><strong>Workforce Planning &amp; Future of Work</strong></p>\n<ul>\n<li>Own enterprise workforce planning in partnership with Finance , multi-year headcount and skills planning, scenario and contingency planning, and workforce analytics that inform where and how Lyft invests in talent globally.</li>\n<li>Partner with Team Member Experience and Tech to help our people and teams grow alongside new tools and technology; from emerging skills needs to how we work together most effectively.</li>\n</ul>\n<p><strong>Cross-Functional Partnership</strong></p>\n<ul>\n<li>Partner closely with other Centers of Excellence (Talent Acquisition, Team Member Experience, Total Rewards, People Operations, Culture &amp; Belonging) and with Legal to enable programs that create meaningful business impact</li>\n<li>Partner with People Systems &amp; Operations to modernize team member self-service capabilities through technology and automation, and drive adoption across the business</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>15+ years of progressive HR leadership experience, including prior experience operating at the VP or Head of People level, partnering with C-suite and board-level stakeholders</li>\n<li>Demonstrated ownership of HR-side M&amp;A diligence and integration , ideally including cross-border or multi-entity integration</li>\n<li>Demonstrated ownership of strategic, skills-based workforce planning at an enterprise level, in close partnership with Finance</li>\n<li>Experience in the tech industry, at public companies, and in growth or marketplace organizations will all be considered favorably, but are not necessarily required</li>\n</ul>\n<p><strong>Skills:</strong></p>\n<ul>\n<li>Proven ability to influence and coach senior executives and drive strategic people decisions at the enterprise level</li>\n<li>Proven success leading and coaching a team of high-performing people business partners</li>\n<li>Strong business acumen with the ability to understand industry dynamics and align people strategies with business priorities</li>\n<li>Ability to thrive in ambiguity and lead through change in a dynamic environment, modernizing the People function and building a best-in-class team</li>\n<li>Data- and insights-driven mindset to measure success and continuously improve people strategies</li>\n<li>Deep commitment to inclusion, belonging, and culture-building as a competitive advantage</li>\n<li>Strong communication skills, with the ability to engage a variety of audiences , including the executive team , on complex people topics, and to challenge the status quo as appropriate</li>\n<li>Ability to establish relationships and credibility at all levels of the organization</li>\n<li>Highest level of integrity and commitment to managing confidential information</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8834157002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8834157002","x-work-arrangement":null,"x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["HR leadership","strategic people decisions","influence and coach senior executives","M&A diligence and integration","workforce planning","organizational change management","talent development","culture-building","communication skills"],"x-skills-preferred":["tech industry experience","public company experience","growth or marketplace organizations","cross-border or multi-entity integration","strategic, skills-based workforce planning"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-23T16:29:07.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"HR leadership, strategic people decisions, influence and coach senior executives, M&A diligence and integration, workforce planning, organizational change management, talent development, culture-building, communication skills, tech industry experience, public company experience, growth or marketplace organizations, cross-border or multi-entity integration, strategic, skills-based workforce planning"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a155afe2-99b"},"title":"UX Research Intern (Summer 2027)","description":"<p>Lyft is seeking a Mixed Methods User Experience Research Intern to join our team, which aspires to elevate the user experience for our drivers and riders.</p>\n<p>You will conduct research studies, as well as participate in studies alongside more senior researchers from which you’ll gain strong mentorship. You will partner with Design, Product Management, Analytics, and Engineering in order to derive deep insights about our users’ behaviors and attitudes, and communicate results and actionable recommendations across the company.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and conduct studies across key Lyft product areas -- independently and in conjunction with more senior researchers. You will utilize methods such as ethnographic &amp; field research, diary studies, surveys, user/usability testing (remote and in-person), guerrilla research, and any other methods you find impactful</li>\n</ul>\n<ul>\n<li>Review, analyze, and communicate qualitative and/or quantitative data to generate tactical and strategic insights, as well as actionable recommendations which drive product innovation and design improvements for users</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Currently pursuing a Bachelor&#39;s, Master&#39;s or PhD degree in Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, or a related field from a university in Canada with a graduation date between December 2027 and Summer 2028 (required)</li>\n</ul>\n<ul>\n<li>Available during Summer 2027 for an internship in Toronto</li>\n</ul>\n<ul>\n<li>Extraordinary organizational skills and meticulous eye for detail</li>\n</ul>\n<ul>\n<li>Strong listening and analytical skills; proactive troubleshooter</li>\n</ul>\n<ul>\n<li>Team player with excellent written &amp; verbal communication skills</li>\n</ul>\n<ul>\n<li>Enthusiasm for a collaborative, highly energetic, fun and fast-paced environment</li>\n</ul>\n<ul>\n<li>Experience as a researcher and/or research coordinator for qualitative research studies or school-based research projects, including usability/user testing, surveys, field research, or user interviews</li>\n</ul>\n<p><strong>Bonus Points:</strong></p>\n<ul>\n<li>Research experience with mobile technology</li>\n</ul>\n<ul>\n<li>Experience conducting qualitative research in applied research settings, ideally within a Product organization</li>\n</ul>\n<ul>\n<li>Experience designing surveys and experimental research, and analyzing large datasets using appropriate statistical methods</li>\n</ul>\n<ul>\n<li>Experience using Qualtrics or SurveyMonkey</li>\n</ul>\n<ul>\n<li>Experience cleaning, handling, and transforming data in Microsoft Excel and/or Google Sheets</li>\n</ul>\n<ul>\n<li>Experience with SQL, R, and/or other data analysis software (e.g., SPSS)</li>\n</ul>\n<ul>\n<li>Experience with research participant recruitment and management practices</li>\n</ul>\n<ul>\n<li>Design thinking, visual communication, information design, or wireframing skills</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Mental health benefits</li>\n</ul>\n<ul>\n<li>In addition to holidays, interns receive 2 days paid time off and 3 days sick time off</li>\n</ul>\n<ul>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8797069002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8797069002","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":null,"x-skills-required":["Human-Computer Interaction","Anthropology","Design","Psychology","Cognitive Science","Organizational skills","Analytical skills","Communication skills"],"x-skills-preferred":["Mobile technology","Qualitative research","Survey design","Data analysis","SQL","R","SPSS","Design thinking","Visual communication","Information design","Wireframing"],"x-benefits":["paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-11T17:50:25.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"INTERN","occupationalCategory":"Research","industry":"Technology","skills":"Human-Computer Interaction, Anthropology, Design, Psychology, Cognitive Science, Organizational skills, Analytical skills, Communication skills, Mobile technology, Qualitative research, Survey design, Data analysis, SQL, R, SPSS, Design thinking, Visual communication, Information design, Wireframing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32230c56-24f"},"title":"Treasury Analyst","description":"<p>We&#39;re hiring a Treasury Analyst to join our Treasury team at a pivotal moment , we&#39;re actively integrating recent acquisitions, implementing a new Treasury Management System, and scaling our banking infrastructure across a rapidly growing international footprint supporting Lyft’s core, autonomous, and luxury offerings.</p>\n<p>This is a hands-on role with real ownership from day one. Reporting to the Head of Treasury, you&#39;ll support critical functional areas and workstreams including cash management, liquidity optimization, and SOX compliance, while getting exposure to strategic projects that shape how Treasury operates across the company.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Position cash daily for Lyft&#39;s parent and subsidiary entities across North America, optimizing liquidity at the bank account and legal entity level.</li>\n<li>Support Lyft&#39;s global banking infrastructure: the master account repository, authorized signatory records, registration/regulatory documentation, and banking product subscriptions.</li>\n<li>Execute and monitor electronic payment requests, trade settlements, and other cash movements critical to the business.</li>\n<li>Support letters of credit , issuance, renewal, and cancellation - and maintain accurate records and track related expenses.</li>\n<li>Contribute to the Treasury Management System (TMS) implementation and the subsequent process migration, including process design, parallel testing, and SOP documentation.</li>\n<li>Act as a liaison to internal and external partners, responding to inquiries and resolving ad hoc issues.</li>\n</ul>\n<p><strong>Additional Responsibilities</strong></p>\n<ul>\n<li>Help identify and build AI-assisted automation for repetitive Treasury tasks, driving operational efficiency across the team.</li>\n<li>Ensure adherence to Treasury policies, protocols, and internal controls to maintain compliance and mitigate risk.</li>\n<li>Support internal SOX and external audit requests related to Treasury processes and controls.</li>\n<li>Support M&amp;A due diligence and post M&amp;A integration workstreams.</li>\n<li>Participate in other ad hoc projects as Treasury&#39;s priorities evolve.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/BA in Finance, Economics, Business, or a related field.</li>\n<li>Minimum of 2 years of professional experience in Corporate Treasury or a related financial function.</li>\n<li>Familiarity with online banking platforms, payment methods, and common corporate banking products and services.</li>\n<li>Proficiency in Google Suite (Gmail, Sheets, Docs, Slides).</li>\n<li>Fluent in English with strong verbal and written communication skills.</li>\n<li>A strong work ethic, high accountability, and a collaborative mindset.</li>\n<li>Comfort operating in a fast-paced environment with frequently shifting priorities.</li>\n<li>Exceptional attention to detail, organization, and time management.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8814971002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8814971002","x-work-arrangement":null,"x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Google Suite","online banking platforms","payment methods","corporate banking products","English"],"x-skills-preferred":["Treasury Management System","AI assistants","financial modeling","project management","payment service providers"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-23T18:38:01.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Google Suite, online banking platforms, payment methods, corporate banking products, English, Treasury Management System, AI assistants, financial modeling, project management, payment service providers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bfbe12a7-70d"},"title":"Stagiaire en ingénierie d'industrialisation (été 2027)","description":"<p>We are seeking an Industrialization Engineering Intern to join our Manufacturing &amp; Quality Engineering team at our Longueuil factory. You will work on the production floor with assembly, warehouse, and quality teams to make our processes faster, safer, and more consistent. You will also be part of a global team that supports factories and suppliers in North America and Asia.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Map the current material flow and factory layout, then propose improvements to reduce waste and operator travel.</li>\n<li>Conduct cycle time studies for assembly and warehouse operations to identify bottlenecks and improve throughput and line balancing.</li>\n<li>Audit compliance with assembly instructions on the floor, identify deviations, and pilot corrective actions or updates to assembly instructions.</li>\n<li>Lead 5S audits and implement visual controls and workplace organization standards.</li>\n<li>Design dashboards to track throughput, inventory, cycle times, and assembly compliance, and turn data into recommendations.</li>\n<li>Create visual work instructions and standardized work sheets.</li>\n<li>Contribute to continuous improvement projects, including ergonomic evaluations, workstation reconfiguration, and tooling and fixture improvements.</li>\n<li>Prepare processes for technical changes (ECOs) and new product launches, including layout changes and workstation validation.</li>\n<li>Collaborate with the Quality team to investigate production defects and contribute to root cause analysis and process risk updates (PFMEA).</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Currently enrolled in a Canadian university in a Bachelor&#39;s or Master&#39;s program in Industrial Engineering, Mechanical Engineering, or a related field, with expected graduation between December 2027 and summer 2028.</li>\n<li>Professional proficiency in French and English, written and spoken.</li>\n<li>Practical knowledge of lean production principles (just-in-time, standardized work, 5S, value stream mapping).</li>\n<li>Experience with AutoCAD or similar CAD software for layout design.</li>\n<li>Strong analytical skills and attention to detail.</li>\n<li>Comfortable in a fast-paced environment, with ability to manage multiple priorities as needs evolve on the floor.</li>\n<li>Previous internship or co-op experience in manufacturing, operations, or quality is an asset.</li>\n<li>Experience with Mode, Hex, Tableau, or Power BI is an asset, as well as knowledge of SQL or Python.</li>\n<li>Knowledge of Jira or similar ticketing tools is an asset.</li>\n<li>Familiarity with PLM systems or technical change processes is an asset.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Mental health benefits.</li>\n<li>In addition to holidays, interns receive 2 paid days off and 3 sick days.</li>\n<li>Subsidized transportation benefits and Lyft ride credits.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8817932002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8817932002","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$34 to $36/hour CAD","x-skills-required":["Industrial Engineering","Mechanical Engineering","Lean Production","AutoCAD","Analytical skills","French"],"x-skills-preferred":["Mode","Hex","Tableau","Power BI","SQL","Python","Jira","PLM systems"],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-28T22:08:50.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Longueuil, QC"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"Industrial Engineering, Mechanical Engineering, Lean Production, AutoCAD, Analytical skills, French, Mode, Hex, Tableau, Power BI, SQL, Python, Jira, PLM systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c17fce9-17a"},"title":"Stagiaire en ingénierie de la qualité terrain, matériel (été 2027)","description":"<p>We are seeking a Quality Field Engineering Intern, Hardware to join our Field Quality team at our Longueuil facility. As a member of this team, you will work alongside quality engineers to detect emerging hardware issues, investigate root causes, and support corrective actions with engineering, manufacturing, and operations teams in various markets.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Support failure analysis of returned parts from the field, including customer requests, by participating in disassembly, inspection, and electrical testing, and documenting findings with photos.</li>\n<li>Help monitor field data, such as vehicle and station alerts and repair histories, and report emerging issues to the team.</li>\n<li>Design and update dashboards and queries to track reliability metrics and upgrade progress.</li>\n<li>Participate in field upgrade campaigns by helping identify affected units and tracking progress.</li>\n<li>Assist in revising repair work orders and diagnostic guides used by market mechanics and propose improvements.</li>\n<li>Contribute to field failure investigations in Jira, collaborating with engineers to analyse root causes and corrective actions.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>Currently enrolled in a bachelor&#39;s or master&#39;s program in mechanical, electrical, mechatronics, or industrial engineering, or a related field, at a Canadian university, with an expected graduation date between December 2027 and summer 2028.</li>\n<li>Professional proficiency in French and English, both written and spoken.</li>\n<li>Ability to handle electromechanical equipment, including disassembly, inspection, and basic electrical troubleshooting with tools like multimeters.</li>\n<li>Strong analytical skills and ability to work with large, imperfect datasets to draw clear conclusions.</li>\n<li>Knowledge of structured problem-solving methods (5 whys, Ishikawa diagrams, 8D, FMEA).</li>\n<li>Curiosity, attention to detail, and clear written communication.</li>\n<li>Previous internship or co-op experience in quality, reliability, testing, or failure analysis is an asset.</li>\n<li>Familiarity with SQL or Python, and experience with Mode, Hex, Tableau, or Power BI is an asset.</li>\n<li>Knowledge of Jira or similar ticketing tools is an asset.</li>\n<li>Experience with electric bicycles, batteries, automotive, or other electromechanical products, or reading wiring diagrams is an asset.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Mental health benefits</li>\n<li>In addition to holidays, interns receive 2 paid days off and 3 sick days</li>\n<li>Subsidised transportation benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8862007002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8862007002","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$34 to $36/hour CAD","x-skills-required":["mechanical engineering","electrical engineering","mechatronics","industrial engineering","French","English","multimeter","analytical skills","problem-solving"],"x-skills-preferred":["SQL","Python","Mode","Hex","Tableau","Power BI","Jira","electric bicycles","batteries","automotive","wiring diagrams"],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-02T19:58:29.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Longueuil, QC"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"mechanical engineering, electrical engineering, mechatronics, industrial engineering, French, English, multimeter, analytical skills, problem-solving, SQL, Python, Mode, Hex, Tableau, Power BI, Jira, electric bicycles, batteries, automotive, wiring diagrams"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_285ea072-d25"},"title":"Staff Software Engineer, Lyft Business","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>The Lyft Business organisation builds the platform that lets organisations move the people they depend on – employees, clients, and customers. From the foundational mechanics of a company funding and provisioning a ride to the tailored workflows that get an employee to a client meeting or home after a late shift, we focus on making Lyft the transportation solution businesses build their programs on.</p>\n<p>As a Staff Software Engineer on the Lyft Business Team, you will act as a critical technical leader, taking holistic ownership of complex systems that span the rider experience, the administrator experience, and the enterprise integrations behind them , defining strategic roadmaps, driving cross-functional alignment, and driving engineering excellence to improve how organisations move their people.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Shape the long-term architecture for systems, taking accountability for both short-term functionality and long-term health.</li>\n<li>Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks.</li>\n<li>Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team.</li>\n<li>Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform&#39;s stability, tracking down issues&#39; root causes and building preventive safeguards for your immediate scope and beyond.</li>\n<li>Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organisational priorities.</li>\n<li>Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of strong technical excellence.</li>\n<li>Serve as a dependable, high-bar interviewer and active participant in Lyft’s broader internal engineering community.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or equivalent practical experience.</li>\n<li>8+ years of software engineering industry experience, with a proven track record of technical leadership and system ownership.</li>\n<li>Deep expertise in designing, debugging, and running fault-tolerant, highly available, large-scale distributed systems.</li>\n<li>Demonstrated experience driving technical roadmaps, managing cross-team dependencies, and influencing system architecture at an organisational level.</li>\n<li>Solid knowledge of distributed systems, relational databases, and NoSQL databases.</li>\n<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure) and modern container orchestration technologies (e.g., Kubernetes, Docker, cri-o).</li>\n<li>Ability to communicate complex technical trade-offs effectively to both technical and non-technical stakeholders.</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional mindset while actively lifting up the engineers around you.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>401(k) plan with company match to help save for your future.</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off.</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidised commuter benefits.</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8688631002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8688631002","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Computer Engineering","Computer Science","Distributed Systems","Relational Databases","NoSQL Databases","Cloud Platforms","Container Orchestration","Kubernetes","Docker","AWS","GCP","Microsoft Azure"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-10T20:20:03.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Engineering, Computer Science, Distributed Systems, Relational Databases, NoSQL Databases, Cloud Platforms, Container Orchestration, Kubernetes, Docker, AWS, GCP, Microsoft Azure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a303f707-a6d"},"title":"Staff Product Manager, Customer Care Platform & Data","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company&#39;s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our Toronto office.</p>\n<p>Every great support experience depends on the person behind it having the right tools, context, and intelligence to solve the problem in front of them. The Platform &amp; Data teams build the tools our human support agents work in every day,and own the data that tells Lyft, and the world, what our customers are actually experiencing. As AI rapidly changes what&#39;s possible, we&#39;re reinventing how agents work: pairing them with copilots and AI that surface the right answer instantly, take on repetitive work, and raise the quality and consistency of every interaction. At the same time, we&#39;re building the data foundation that turns millions of support contacts into an accurate, trusted view of issue types and trends,used inside the team, across the company, and in what we report externally. This role owns that mandate end to end: setting the vision and strategy, and driving execution on the hardest problems across both the platform and its data.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own the vision, strategy, and multi-quarter roadmap for Lyft&#39;s agent platform and the data that powers customer care &amp; safety reporting</li>\n<li>Define and drive how AI and copilot capabilities make agents more efficient and raise the quality and consistency of their work</li>\n<li>Lead execution on the most complex, cross-cutting initiatives across the platform and its data</li>\n<li>Own the accuracy and integrity of customer care &amp; safety data so it can be trusted for internal decisions, company-wide use, and external reporting on issue types and trends</li>\n<li>Shape how the platform is architected, configured, and operated as agent workflows and AI capabilities evolve</li>\n<li>Partner deeply with engineering, data science, ML, design, and support operations to turn strategy into shipped product</li>\n<li>Serve as the senior product voice on agent platform and data, aligning stakeholders and executives around a clear direction</li>\n<li>Define the metrics that matter and use them to prioritize and measure real-world impact</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>8+ years of product management experience, including owning the vision and strategy for a platform or a complex, cross-functional product area</li>\n<li>Direct experience with AI/ML-powered products,ideally copilots, agent-assist, or LLM-based tooling,with a real understanding of their capabilities and limits</li>\n<li>Strong data fluency: you&#39;ve owned or worked closely with data pipelines, data quality, and reporting, and you care about getting the numbers right</li>\n<li>A track record of driving execution on ambiguous, high-complexity problems that span multiple teams and systems</li>\n<li>Comfortable operating with autonomy and influencing senior stakeholders without direct authority</li>\n<li>Strengths:</li>\n<li>Customer obsession: You care deeply about the support experience and dive into the details of customer and agent problems</li>\n<li>Technical depth: You engage credibly with engineers and understand platform + AI/ML/LLM capabilities, limitations, and emerging developments</li>\n<li>Data rigor: You treat data as a product,accurate, well-defined, and trustworthy enough to report externally</li>\n<li>Strategic ownership: You set direction, not just execute against it, and bring others along</li>\n<li>Bias to action: You break down complex problems, build elegant solutions, and move quickly to deploy them at scale</li>\n<li>Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8648144002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8648144002","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","ML","data pipelines","data quality","reporting","product management"],"x-skills-preferred":["Computer Science","Engineering","Math"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-24T21:13:43.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI, ML, data pipelines, data quality, reporting, product management, Computer Science, Engineering, Math"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_548012ce-a70"},"title":"Staff Product Manager, Core Rider","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft connects people to transportation to change the way we live and get around our communities.</p>\n<p>The Core Rider team is responsible for the Lyft consumer app.</p>\n<p>This team spans the entire consumer journey across the request and purchase flows, search, pickups and dropoffs, the post-match experience, and the in-trip experience.</p>\n<p>As a Staff Product Manager on the Core Rider team, you’ll lead a large cross-functional team to build the rider “journey” (anything that gets a rider from A to B).</p>\n<p>This includes the home screen, request flow, pickup experience, in-ride experience, and rate &amp; pay.</p>\n<p>You’ll also be responsible for how this “golden path” experience extends to serve AVs and segments of interest – owning targeted experiences like Lyft Silver for Seniors and Price Lock for commuters.</p>\n<p>This represents a large percentage of the core Lyft rider experience used by millions of people every day.</p>\n<p>Plus, the solutions you build need to work everywhere, from the simplest suburban home to JFK Airport, and all modes of transportation (rideshare, AVs, etc.).</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Understand Lyft&#39;s strategic and competitive position.</li>\n</ul>\n<p>Set goals and success metrics that align with Lyft&#39;s mission and drive maximum impact based on data analysis, market research and usability studies.</p>\n<ul>\n<li>Set an incredibly ambitious vision that motivates and inspires your team, peers and leadership and scales equally well across places and situations of all types.</li>\n</ul>\n<ul>\n<li>Completely own your team&#39;s products, existing or new, from ideation, through development, to experiment, launch, growth and maintenance, caring deeply about our users.</li>\n</ul>\n<ul>\n<li>Lead and align cross functional partners and teams: engineers, designers, analysts, marketers, business partners and operations to drive a shared vision.</li>\n</ul>\n<ul>\n<li>Communicate clear roadmaps, priorities, experiments and decisions across a wide spectrum of audiences from partner teams to executive level.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>6+ years of experience in product management, product design or equivalent consultant experience with significant time spent leading consumer mobile apps.</li>\n</ul>\n<ul>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation.</li>\n</ul>\n<ul>\n<li>Natural ability to make things happen around you.</li>\n</ul>\n<p>You manage project ambiguity, complexity and interdependencies in an organized and structured way. Be able to define and analyze metrics that inform the success of products.</p>\n<ul>\n<li>Excellent judgment and thoughtfulness about the dynamics of a product ecosystem.</li>\n</ul>\n<ul>\n<li>Strong communication skills and intuition for communication strategy at every level -- within teams, within the company, to users, to press, and other audiences.</li>\n</ul>\n<ul>\n<li>Experience leading post-launch optimizations including developing testing strategies.</li>\n</ul>\n<ul>\n<li>Ability to conceptualize, manage and prioritize multiple projects for stakeholders.</li>\n</ul>\n<ul>\n<li>Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled.</li>\n</ul>\n<ul>\n<li>Mental health benefits.</li>\n</ul>\n<ul>\n<li>Family building benefits.</li>\n</ul>\n<ul>\n<li>Child care and pet benefits.</li>\n</ul>\n<ul>\n<li>401(k) plan to help save for your future.</li>\n</ul>\n<ul>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off.</li>\n</ul>\n<ul>\n<li>18 weeks of paid parental leave.</li>\n</ul>\n<p>Biological, adoptive, and foster parents are all eligible.</p>\n<ul>\n<li>Subsidized commuter benefits.</li>\n</ul>\n<ul>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8614717002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8614717002","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["product management","product design","data analysis","market research","usability studies","communication strategy"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-30T21:10:56.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"product management, product design, data analysis, market research, usability studies, communication strategy"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_45723c13-500"},"title":"Staff Engineer, Luxury","description":"<p>The Luxury team at Lyft builds rich and creative features that set the standard for premium ground transportation. We&#39;re looking for a motivated Staff Engineer to build app experiences, UIs, and infrastructure for Black, Black SUV, and other upmarket modes in the Lyft app, as well as Alcove, Lyft&#39;s new global chauffeur network.</p>\n<p>As a Staff Software Engineer, you will act as a critical technical leader across backend, frontend, iOS, and Android, taking holistic ownership of complex systems, defining strategic roadmaps, and driving cross-functional alignment and engineering excellence across Lyft&#39;s luxury and chauffeur offerings.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Shape the long-term architecture for full-stack systems, taking accountability for both short-term functionality and long-term health.</li>\n<li>Translate high-level business goals into actionable engineering projects. Own the technical roadmap from conception to delivery, managing cross-team dependencies and mitigating risks.</li>\n<li>Champion improvements in system, observability, performance, and tech debt reduction, extending your influence beyond your immediate team.</li>\n<li>Establish best practices for deployment, alerting, and on-call health. Take holistic ownership of the platform&#39;s stability, tracking down issue root causes and building preventive safeguards for your immediate scope and beyond.</li>\n<li>Drive alignment across product, design, and operations. Proactively resolve bottlenecks and make decisive trade-offs to protect system architecture from competing organizational priorities.</li>\n<li>Mentor and level up the engineers around you. Delegate stretch opportunities, lead cross-team reviews, and foster a culture of strong technical excellence.</li>\n<li>Serve as a dependable, high-bar interviewer and active participant in Lyft&#39;s broader internal engineering community.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>8+ years of software engineering industry experience, with a proven track record of technical leadership and system ownership.</li>\n<li>Experience developing mobile apps and can guide client-server and iOS/Android decision making.</li>\n<li>Deep expertise in designing, debugging, and running fault-tolerant, highly available, large-scale distributed systems.</li>\n<li>Demonstrated experience driving technical roadmaps, managing cross-team dependencies, and influencing system architecture at an organizational level.</li>\n<li>Solid knowledge of distributed systems, relational databases, and NoSQL databases.</li>\n<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure) and modern container orchestration technologies (e.g., Kubernetes, Docker, cri-o).</li>\n<li>Ability to communicate complex technical trade-offs effectively to both technical and non-technical stakeholders.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8900209002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8900209002","x-work-arrangement":null,"x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["software engineering","technical leadership","system ownership","mobile app development","distributed systems","relational databases","NoSQL databases","public cloud platforms","container orchestration technologies"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-20T01:57:31.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, technical leadership, system ownership, mobile app development, distributed systems, relational databases, NoSQL databases, public cloud platforms, container orchestration technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_54f8d4c6-c7c"},"title":"Sr. Manager, GTM Strategy & Sales Packaging","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft Ads gives brands a unique way to reach consumers during high-intent moments: on their way to concerts, games, nights out, and everyday destinations. In this role, you&#39;ll set the strategy behind how we bring those moments to market, arm our sellers to win, and connect advertisers with millions of riders across the country.</p>\n<p>Lyft Ads is looking for a Senior Manager of Sales Packaging &amp; Go-to-Market Strategy to build and lead the function that turns ridership data, cultural moments, and product capabilities into the packages our sales team sells every day.</p>\n<p>This is a strategic leadership role: you&#39;ll set the packaging and pricing agenda for the full Lyft Ads portfolio, build the go-to-market motions behind our biggest revenue moments, and give sellers the stories, structure, and pricing tools they need to win.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own the sales packaging strategy for Lyft Ads&#39; full suite of on- and off-platform advertising solutions, building differentiated packages that map to advertiser objectives and buying behavior</li>\n<li>Set the vision and calendar for tentpole and cultural-moment packaging (Super Bowl, March Madness, Women’s World Cup, Coachella, Formula 1, SXSW, Halloween, Valentine&#39;s Day, New Year&#39;s Eve), using ridership and audience data to identify where and when advertisers should show up</li>\n<li>Craft the go-to-market narratives behind each package, from initial data-driven thesis to the story sellers use in market, in partnership with Product Marketing and Lyft Ads Studio</li>\n<li>Formulate pricing and deal economics for sponsorships, tentpole packages, and multi-product bundles, balancing revenue optimization with competitive positioning and advertiser value</li>\n<li>Build multi-product solutions that combine packaging with measurement frameworks, giving advertisers a clear read on performance and giving sellers proof points to close</li>\n<li>Partner with Sales, Data Science, and Finance to model package performance, set pricing guardrails, and build scalable frameworks for both direct IO and programmatic deal structures</li>\n<li>Develop audience-segmented packaging for key verticals (CPG, QSR, Auto, Financial Services, Travel) to sharpen sales conversations by category</li>\n<li>Own the GTM materials that arm the field: one-sheets, rate cards, media plans, packaging guides, and sales playbooks</li>\n<li>Establish a feedback loop between field sales and the packaging/pricing function so offerings stay relevant, competitive, and commercially viable</li>\n<li>Report on tentpole and package performance and build case studies with Product Marketing to prove out the model and inform the next cycle</li>\n<li>Represent packaging strategy in front of Sales and Ads leadership, and act as a thought partner to the VP on where the portfolio should go next</li>\n<li>Lead and manage the Lyft Ads Studio team, currently two creative strategists, a designer, and a program manager, setting priorities, workflow, and quality bar for the creative and GTM work that supports every package</li>\n<li>Hold a seat at the table with Sales leadership, representing packaging, pricing, and creative strategy in planning and pipeline conversations</li>\n<li>Build and maintain close working relationships with cross-functional leaders across Product, Data Science, Finance, and Marketing to keep packaging strategy aligned to the broader business</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>15+ years of experience in digital advertising, with meaningful depth in brand media solutions, programmatic, ad tech, and/or commerce/retail media</li>\n<li>In-depth understanding of building brand solutions across on-platform, programmatic, and experiential</li>\n<li>Strong knowledge of the programmatic ecosystem, including DSPs (e.g., The Trade Desk, DV360, Amazon DSP), SSPs, DMPs, CDPs, clean rooms, and measurement partners</li>\n<li>Experience developing go-to-market strategies, sales packaging, and pricing frameworks for advertising products</li>\n<li>Proven people leadership experience, including managing a team of creative, program, or strategy professionals and developing their careers</li>\n<li>Exceptional cross-functional collaboration skills; proven ability to work across Sales, Product, Engineering, Data Science, Marketing, and Finance</li>\n<li>Strong analytical and financial modeling skills; ability to build business cases and model revenue scenarios</li>\n<li>Outstanding written and verbal communication skills; capable of translating complex ad tech concepts into clear, compelling narratives for diverse audiences</li>\n<li>Bachelor&#39;s degree or equivalent experience</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8838923002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8838923002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$169,000 - $211,250","x-skills-required":["digital advertising","brand media solutions","programmatic","ad tech","commerce/retail media","go-to-market strategies","sales packaging","pricing frameworks","people leadership","cross-functional collaboration","analytical and financial modeling"],"x-skills-preferred":["travel media platform","commerce media company","high-growth digital publisher","audience extension products","off-platform programmatic solutions","location-based advertising","mobility data","contextual targeting methodologies"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-01T23:35:41.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"digital advertising, brand media solutions, programmatic, ad tech, commerce/retail media, go-to-market strategies, sales packaging, pricing frameworks, people leadership, cross-functional collaboration, analytical and financial modeling, travel media platform, commerce media company, high-growth digital publisher, audience extension products, off-platform programmatic solutions, location-based advertising, mobility data, contextual targeting methodologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":169000,"maxValue":211250,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a4d5318c-43c"},"title":"Software Engineer, Telematics","description":"<p>We are looking for an experienced backend software engineer to join our Road Safety &amp; Telematics team at Lyft. 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goals.</p>\n<p>They lead and manage their team, providing strategic direction, ongoing coaching, data analysis, project management, and overseeing daily operations.</p>\n<p>The ideal candidate is passionate about leadership and driving results and improvement on their team.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead shoulder to shoulder to deliver outstanding results, driving shared outcomes measured through key performance indicators such as SLA, CSAT, TAR, QAR scores, and beyond.</li>\n</ul>\n<ul>\n<li>Lead a team of associates to provide a world-class customer experience by offering continuous support, coaching, development, and mentorship in a dynamic and fast-paced environment and foster a culture of excellence and growth.</li>\n</ul>\n<ul>\n<li>Take proactive ownership of the customer experience across various social media platforms, ensuring that customer interactions are handled with the highest level of care and professionalism.</li>\n</ul>\n<ul>\n<li>Continuously evaluate and refine best practices and processes within the team to ensure consistent and exceptional customer experiences.</li>\n</ul>\n<ul>\n<li>Understand and optimize operational efficiencies by benchmarking industry best practices, analyzing data and processes, identifying areas for improvement, and implementing changes to enhance customer obsession and satisfaction.</li>\n</ul>\n<ul>\n<li>Take ownership of the associate experience by regularly assessing and measuring behaviors that drive positive outcomes.</li>\n</ul>\n<ul>\n<li>Maintain a visible and active leadership presence by engaging in day-to-day team activities, holding team members accountable, and collaborating with the Lyft Leadership Team.</li>\n</ul>\n<ul>\n<li>Work closely with other Specialized Support team leaders to enhance both internal and external customer experiences.</li>\n</ul>\n<ul>\n<li>Analyze team performance data to identify trends, insights, and opportunities for improvement.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>3+ years experience in customer support</li>\n</ul>\n<ul>\n<li>1+ year experience in a leadership position</li>\n</ul>\n<ul>\n<li>Ability to build relationships with cross-functional stakeholders and drive shared outcomes</li>\n</ul>\n<ul>\n<li>Customer obsessed with a track record for going above and beyond for the customer</li>\n</ul>\n<ul>\n<li>Ability to lead in a fast-paced environment subject to rapid change and ambiguity</li>\n</ul>\n<ul>\n<li>Relevant technology, social media, and customer care experience.</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills.</li>\n</ul>\n<ul>\n<li>Problem-solving, Decision-making, and Time management skills are a must.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n</ul>\n<ul>\n<li>Mental health benefits</li>\n</ul>\n<ul>\n<li>Family building benefits</li>\n</ul>\n<ul>\n<li>Child care and pet benefits</li>\n</ul>\n<ul>\n<li>Access to a Lyft-funded Health Care Savings Account</li>\n</ul>\n<ul>\n<li>RRSP plan to help save for your future</li>\n</ul>\n<ul>\n<li>Flexible paid time off policy</li>\n</ul>\n<ul>\n<li>Subsidized commuter benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8905092002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8905092002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["leadership","customer support","data analysis","project management","communication"],"x-skills-preferred":["process improvement","excellence"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-21T16:50:21.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Customer Service","industry":"Technology","skills":"leadership, customer support, data analysis, project management, communication, process improvement, excellence"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d56cf8b-4bf"},"title":"Senior Software Engineer, Rider","description":"<p>Lyft is looking for a Senior Software Engineer to join the Rider team, focusing on building a seamless rideshare experience. As an engineer at Lyft, you&#39;ll collaborate with teams like product, data science, analytics, and operations on code that empowers quick iteration while delighting passengers and drivers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Participate in code reviews to ensure code quality and distribute knowledge</li>\n<li>Participate in on-call rotations, identifying, triaging, debugging, and resolving issues across applications and platforms</li>\n<li>Explain trade-offs made in decisions</li>\n<li>Manage project priorities, deadlines, and deliverables</li>\n<li>Partner with product managers, designers, and engineering teams to build complex features and products</li>\n<li>Analyze internal systems and processes to locate areas for improvement/automation</li>\n<li>Share knowledge through brown bags, tech talks, and promoting tech best practices</li>\n<li>Provide technical mentorship and feedback to junior engineers</li>\n<li>Help establish roadmap and architecture based on technology and needs</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience</li>\n<li>5+ years of software engineering industry experience</li>\n<li>Solid knowledge of distributed systems, relational and NoSQL databases</li>\n<li>Experience designing, debugging, and running fault-tolerant, highly available, large-scale distributed systems</li>\n<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure)</li>\n<li>Experience working with Kubernetes and container technologies (e.g., Docker, cri-o)</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional team</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, life insurance, and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft-funded Health Care Savings Account</li>\n<li>RRSP plan with company match</li>\n<li>Flexible paid time off policy</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8831430002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8831430002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["distributed systems","relational databases","NoSQL databases","public cloud platforms","Kubernetes","container technologies"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-23T21:00:59.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed systems, relational databases, NoSQL databases, public cloud platforms, Kubernetes, container technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c5045fac-44b"},"title":"Senior Software Engineer, Recommendations","description":"<p>Lyft is seeking a Senior Software Engineer to join the Recommendations team within the Applied AI department. You will build backend systems that decide what to surface to riders, architect pipelines and services that turn rider context and signals into the right offer at the right moment, driving a measurable impact on rider experience.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Establish engineering best practices and patterns, helping uplift the team&#39;s craft and drive a culture of engineering excellence.</li>\n<li>Drive high-impact projects and innovate new solutions to deliver the best user experience.</li>\n<li>Produce and drive scalable system design for large, complex features , from idea through execution and launch.</li>\n<li>Mentor engineers on the team, providing technical guidance and supporting their growth.</li>\n<li>Champion and evangelize the use of AI tools to accelerate engineering productivity across the team, sharing patterns and best practices.</li>\n<li>Write well-crafted, well-tested, readable, maintainable code.</li>\n<li>Participate in code reviews 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programming.</li>\n<li>Experience working with data structures or algorithms.</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional team.</li>\n<li>Bonus points: Experience building real-time serving systems for ML models, working with recommendation or ranking systems, feature stores, or online/offline experimentation frameworks.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>Access to a Lyft-funded Health Care Savings Account.</li>\n<li>RRSP plan to help save for your future.</li>\n<li>Flexible paid time off policy.</li>\n<li>Salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Hourly team members get 15 days paid time off, with an additional day for each year of service.</li>\n<li>Lyft supports new parents with 18 weeks of paid time off.</li>\n<li>Subsidized commuter benefits.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8716218002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8716218002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Go","cloud platforms","distributed systems","databases","object-oriented programming","data structures","algorithms","AI tools"],"x-skills-preferred":["real-time serving systems for ML models","recommendation or ranking systems","feature stores","online/offline experimentation frameworks"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-19T17:18:38.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, cloud platforms, distributed systems, databases, object-oriented programming, data structures, algorithms, AI tools, real-time serving systems for ML models, recommendation or ranking systems, feature stores, online/offline experimentation frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_238df1d1-afb"},"title":"Senior Software Engineer, Places and Search","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We are hiring a Senior Software Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience.</p>\n<p>In this role, you&#39;ll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Drive high-impact projects and innovate new solutions to provide the best customer experiences</li>\n<li>Lead backend and cross functional projects to achieve long term goals as well as deliver short term roadmaps</li>\n<li>Lead large features from idea to successful execution and launch</li>\n<li>Own systems and components within the team and be accountable for their short term functionality and long term health</li>\n<li>Participate in code and architecture reviews to ensure code quality and distribute knowledge, as well manage call rotations and proactively improving processes</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Share your knowledge by giving brown bags, tech talks, mentoring others, and promoting appropriate tech and engineering best practices</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience</li>\n<li>5+ years of software engineering/production infrastructure industry experience</li>\n<li>Experience designing, debugging and running fault-tolerant, highly available, large-scale distributed systems</li>\n<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)</li>\n<li>Experience working with databases, relational or NoSQL</li>\n<li>Led a set of components or system from design to launch</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8693500002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8693500002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Computer Engineering","Computer Science","software engineering","public cloud platforms","databases"],"x-skills-preferred":["Go","Python"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-10T21:47:53.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Computer Engineering, Computer Science, software engineering, public cloud platforms, databases, Go, Python"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e5e62db0-172"},"title":"Senior Software Engineer – Mapping & Geospatial Systems","description":"<p>This is a core backend software engineering role within Lyft&#39;s Mapping organization, focusing on building high-throughput services, distributed system architecture, and APIs, while leveraging large-scale spatial data to power Lyft&#39;s routing and mapping products.</p>\n<p>As a Senior Software Engineer, Data on the Mapping team, you will collaborate with engineers, product managers, and scientists to grow and improve the quality of recommended routes and accuracy of travel time estimations. You will lead the architecture and long-term technical direction of offline experimentation tooling and route simulation services. Your work will enable integration with partner teams and allow stakeholders to make data-informed decisions that directly impact Lyft&#39;s growth and profitability.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own core data pipelines end-to-end, building deep subject matter expertise in the systems you manage and defining/managing SLAs for pipelines, services, and datasets to ensure reliability at scale.</li>\n<li>Serve as the technical owner and architectural lead for offline experimentation platform and route simulation services, setting technical direction, evaluating trade-offs, and ensuring the systems scale with Lyft&#39;s routing and mapping ambitions.</li>\n<li>Continuously evolve data models and schemas to meet business and engineering requirements.</li>\n<li>Develop AI tools that support self-service management of data pipelines and schema evolution, and perform hands-on SQL tuning to optimize data processing performance.</li>\n<li>Write clean, well-tested, and 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data.</li>\n<li>Strong data quality instincts, with hands-on experience using tools like dbt, Great Expectations, or Monte Carlo to diagnose and resolve issues in complex datasets.</li>\n<li>Experience with workflow orchestration (e.g., Airflow, Prefect) and infra tooling (e.g., Terraform, Docker, Kubernetes), preferably in an AWS context.</li>\n<li>Experience designing API schemas and building backend services in a microservices architecture.</li>\n<li>Proficient and effective in using AI tools to accelerate coding and engineering workflows.</li>\n<li>Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>Access to a Lyft funded Health Care Savings Account.</li>\n<li>RRSP plan with company match to help save for your future.</li>\n<li>Flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off.</li>\n<li>Subsidized commuter benefits and Lyft ride credits.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8743231002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8743231002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Spark","Python","Ruby","Bash","Clickhouse","Hive","Presto","Delta","Iceberg","Kafka","MySQL","PostgreSQL","dbt","Great 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technical decisions in writing, in design reviews, and across teams</li>\n<li>BS/MS in Computer Science, Computer Engineering, or equivalent practical experience</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off and 18 weeks of paid parental leave</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p>The expected base pay range for this position in the San Francisco area is $148,000 - $185,000.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8445493002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8445493002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000 - $185,000","x-skills-required":["Backend Engineering","System Design","Distributed Systems","Cloud Environment","Object-Oriented Programming","Relational Databases","NoSQL Databases","AI Development"],"x-skills-preferred":["Fin Tech","Expensing or Travel 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We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Our Client Infrastructure team is dedicated to building software that addresses challenges at a large scale, ensuring that our mobile applications are stable, scalable, and efficient.</p>\n<p>As a Mobile Engineer on the Mobile Foundations team, you will create and maintain foundational systems that all Lyft mobile engineers rely on, enabling teams across Lyft to deliver rich experiences that connect people and places. You will build scalable infrastructure, helping developers move fast and innovate, while ensuring Lyft&#39;s mobile developer experience remains at the forefront. Your work will have a multiplicative effect across Engineering and contribute directly to Lyft&#39;s overall stability.</p>\n<p><strong>Who are you:</strong></p>\n<ul>\n<li>You are an enthusiastic and experienced mobile developer looking to use your engineering skills to improve developers&#39; ability to ship new features quickly.</li>\n<li>You get excited about new Swift features and compile improvements.</li>\n<li>You find delight in building the foundations and frameworks to accelerate the development of others, hiding away the complexities of the system.</li>\n<li>You are a diplomat who looks at the landscape and aligns engineers from different teams around a common pattern.</li>\n<li>You are excited about scaling millions of lines of Swift code to hundreds of mobile developers.</li>\n<li>You take initiative to identify and improve processes and solve problems proactively.</li>\n<li>You take pride in writing clean, maintainable, and scalable code with well-designed APIs, prioritizing clear design principles for reliability.</li>\n<li>You are passionate about collaborating with other teams and helping/supporting other iOS engineers.</li>\n</ul>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and maintain reliable mobile infrastructure, including networking, architecture, and UI frameworks (Lyft Product Language and DeclarativeUI library), to enable Lyft iOS engineers to deliver high-quality mobile experiences.</li>\n<li>Collaborate with cross-functional partners (designers, Android engineers, Web engineers, and other Mobile Infrastructure teams) to strategically define the future of mobile UI and architecture, ensuring an innovative mobile developer experience at Lyft.</li>\n<li>Support iOS engineers from across the organization as they use the tools we build and leverage these interactions to improve our roadmaps and offerings.</li>\n<li>Bring new ideas to the table that aim to ease developer friction and keep our codebase joyful to develop in while continuously improving the codebase through refactoring.</li>\n<li>Stay current with iOS development and contribute to open-source projects like the Mobile Native Foundation and Hammer.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Code Quality: Experienced in delivering high-quality code.</li>\n<li>Experience working with designers and on internal developer productivity teams or projects.</li>\n<li>Strong experience with Swift.</li>\n<li>Experience with UIKit, declarative UI development and creating shared components.</li>\n<li>Familiarity with current design and prototyping tools (Figma, etc).</li>\n<li>Ability to work with a low-ego, highly collaborative, cross-functional team.</li>\n<li>Excited about working in a fast-paced, dynamic environment.</li>\n<li>You take pride in writing clean, maintainable, and scalable code, prioritizing clear design principles for reliability, and ensuring good code quality.</li>\n<li>Strong problem-solving skills and a passion for tackling difficult challenges.</li>\n<li>A strong sense of ownership for the things you build and a commitment to continuous improvement.</li>\n<li>Excellent presentation and documentation skills.</li>\n<li>Experience mentoring and supporting other Mobile Engineers.</li>\n<li>Demonstrated ability to lead a project from initial concept through to successful completion.</li>\n<li>Bonus Points: contributions to open source projects, experience with SwiftUI, experience with unidirectional and reactive programming.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8780012002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8780012002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Swift","UIKit","declarative UI development","Figma"],"x-skills-preferred":["SwiftUI","unidirectional and reactive programming","open source projects"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-15T16:25:19.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Swift, UIKit, declarative UI development, Figma, SwiftUI, unidirectional and reactive programming, open source projects"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9fbea8ee-861"},"title":"Senior Software Engineer, Foundational Infrastructure & Networking","description":"<p>At Lyft, our purpose is to serve and connect. Lyft&#39;s Infrastructure organization builds the high-scale foundation that every engineer at Lyft relies on to ship safe, performant, and reliable services.</p>\n<p>As a Senior Software Engineer on the Foundational Infrastructure &amp; Networking team, you will own the core routing, service mesh, and control planes that power hundreds of microservices processing millions of rides daily. This is an IC role with massive engineering leverage: your technical architecture, systems design, and performance optimizations will directly amplify the velocity of every software engineer across Lyft while ensuring platform resiliency at scale.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Architect &amp; Scale Core Networking: Design, build, and optimize our service mesh, ingress/egress infrastructure, and edge routing capabilities using Envoy Proxy and custom control planes on AWS.</li>\n<li>Optimize High-Throughput Control Planes: Enhance load-balancing algorithms, service discovery, and dynamic scaling mechanisms across high-concurrency data and control planes running on Kubernetes.</li>\n<li>Drive Systems Reliability &amp; Observability: Operationalize deep telemetry, metrics, and distributed tracing across our networking stack to drastically reduce mean-time-to-detect (MTTD) and resolution (MTTR).</li>\n<li>Hands-on Production Debugging: Lead complex technical investigations into cross-stack incidents spanning kernel parameters, cloud VPC network layers, DNS, and distributed microservice protocols.</li>\n<li>Technical Leadership &amp; Mentorship: Elevate engineering rigor through RFC reviews, technical vision, incident response post-mortems, and mentoring engineers across the broader Infrastructure org.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>6+ Years of Production Systems Experience: Proven track record building and operating massive-scale cloud infrastructure and networking platforms.</li>\n<li>Expertise in Cloud Networking &amp; Protocols: Deep understanding of Linux networking, TCP/IP, DNS, gRPC, HTTP/2, load balancing, and AWS networking architecture (VPCs, NLBs, subnets, transit gateways).</li>\n<li>Service Mesh &amp; Proxy Expertise: Hands-on experience building or operating large-scale proxy and mesh technologies (e.g., Envoy, Istio, Cilium, Nginx).</li>\n<li>Cloud &amp; Container Infrastructure: Strong experience managing production Kubernetes clusters running on public cloud providers (AWS/GCP) using Infrastructure-as-Code tools (Terraform).</li>\n<li>Distributed Systems Troubleshooting: Demonstrated skill in isolating and debugging complex, multi-layered system failures under high throughput conditions.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8857056002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8857056002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Cloud Networking","TCP/IP","DNS","gRPC","HTTP/2","Load Balancing","AWS","Kubernetes","Envoy Proxy","Service Mesh","Distributed Systems","Linux","Terraform"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-05T15:10:24.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud Networking, TCP/IP, DNS, gRPC, HTTP/2, Load Balancing, AWS, Kubernetes, Envoy Proxy, Service Mesh, Distributed Systems, Linux, Terraform"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6d9498a9-3bf"},"title":"Senior Software Engineer, Data Pipelines","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>The Infrastructure team is passionate about building software to solve problems at massive scale.</p>\n<p>As a Senior Software Engineer, Data Pipelines at Lyft, you will run our Production Infrastructure by monitoring system availability and taking a holistic view of our platform health.</p>\n<p>You will build software and platforms to automate infrastructure platform operations and management.</p>\n<p>By measuring and monitoring our operations, you will seek opportunities to optimize our systems in order to push our platform forward, anticipating our customers&#39; needs in order to continually improve the platform.</p>\n<p>You will provide Lyft partner teams with operational support to help them build robust large-scale distributed systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Maintain and analyze metrics from operating systems, control planes, and applications to assist in fault detection and performance enhancement</li>\n<li>Design, develop, and deploy tooling and systems that continually improve the reliability, scalability, and efficiency of our platform</li>\n<li>Balance feature development speed and reliability with service-level objectives</li>\n<li>Operate and improve our Infrastructure using industry best practices and tools</li>\n<li>Participate in design and production readiness reviews, platform management, and capacity planning ceremonies with cross-functional teams</li>\n<li>Document Infrastructure operations processes and insights, identify repeatable actions, and ruthlessly automate repetitive tasks</li>\n<li>Participate in our team&#39;s on-call rotations, respond to incidents, and support other teams in mitigating customer-impacting events</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of experience working on teams responsible for software development, automation, and systems engineering</li>\n<li>Ability to create production-ready code in one or more high-level languages, such as Golang, Python</li>\n<li>Prior experience with data streaming, storage, and management, particularly DynamoDB, Kinesis, Kafka, SQS, S3, GraphQL, Flink, Hive</li>\n<li>Experience operating large-scale infrastructure in public cloud environments, such as AWS</li>\n<li>Prior experience with infrastructure tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet, etc., preferably in an AWS context)</li>\n<li>Experience identifying nascent problems, performance bottlenecks, and areas for improvement, and developing and executing plans to mitigate them</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft-funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8795875002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8795875002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Golang","Python","DynamoDB","Kinesis","Kafka","SQS","S3","GraphQL","Flink","Hive","Terraform","Cloud Formation","Docker","Kubernetes","Ansible","Chef","Puppet","AWS"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-11T15:58:54.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Golang, Python, DynamoDB, Kinesis, Kafka, SQS, S3, GraphQL, Flink, Hive, Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet, AWS"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0b01250c-910"},"title":"Senior Software Engineer, Community Safety","description":"<p>The Trust &amp; Safety function at Lyft is dedicated to keeping every Lyft ride safe for both riders and drivers.</p>\n<p>As a Senior Software Engineer working on Trust &amp; Safety, you will work at the intersection of product, design, engineering, and policy to ship high-impact safety features to millions of users.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Help define the roadmap and architecture based on technology and business needs</li>\n<li>Unblock, support, effectively communicate, and obtain buy-in across teams to achieve results</li>\n<li>Lead projects of multiple people from idea to positive execution</li>\n<li>Write clear, scalable, and clear design documentation</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Utilize your expertise in Python, Golang, AWS to deliver robust and scalable solutions</li>\n<li>Participate in code reviews to ensure code quality and distribute knowledge</li>\n<li>Proactively participate in resolving ongoing incidents</li>\n<li>Share your knowledge through tech talks, mentorship, and evangelizing appropriate tech and engineering best practices</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or relevant work experience</li>\n<li>5+ years of software engineering industry experience</li>\n<li>Extensive experience in object-oriented programming, ideally in GoLang or Python</li>\n<li>Experience in backend software development of large-scale distributed systems and concurrency</li>\n<li>Experience working with public cloud platforms (e.g., AWS, GCP, Microsoft Azure, etc.)</li>\n<li>Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8755550002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8755550002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Golang","AWS","object-oriented programming","backend software development","large-scale distributed systems","concurrency","public cloud platforms"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-27T14:26:19.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Golang, AWS, object-oriented programming, backend software development, large-scale distributed systems, concurrency, public cloud platforms"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8f8ffaba-a4b"},"title":"Senior Software Engineer, AI Entries","description":"<p>Lyft is looking for a Senior Software Engineer to join the AI Entries team in the Applied AI department. You will build the foundational infrastructure that connects Lyft to emerging AI ecosystems and devices and architect the APIs and orchestration layers that allow third-party agents and multimodal interfaces to interact with Lyft.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Establish engineering best practices and patterns; help uplift the team&#39;s craft and drive a culture of engineering excellence</li>\n<li>Drive high-impact projects and innovate new solutions to deliver the best user experience</li>\n<li>Produce and drive scalable system design for large, complex features , from idea through execution and launch</li>\n<li>Mentor engineers on the team, providing technical guidance and supporting their growth</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n<li>Participate in code reviews to ensure code quality and share knowledge across the team</li>\n<li>Participate in the team&#39;s on-call rotation; identify, triage, debug, and resolve issues across our applications and platforms</li>\n<li>Have the ability to explain the various trade offs made in decisions</li>\n<li>Manage project priorities, deadlines, and deliverables.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience.</li>\n<li>5+ years of software engineering/production infrastructure industry experience.</li>\n<li>Experience with Python and Go.</li>\n<li>Experience with cloud platforms (AWS, GCP, or Azure), distributed systems, and databases such as PostgreSQL or DynamoDB</li>\n<li>Proficient and effective in using AI tools (e.g. Copilot, Claude Code, Cursor) to accelerate coding and engineering workflows</li>\n<li>Proficiency in object-oriented programming.</li>\n<li>Experience working with data structures or algorithms.</li>\n<li>Ability to work with a low-ego, highly collaborative, and cross-functional team.</li>\n<li>Bonus points: Experience with LLM orchestration (LangChain, etc.), Vector Databases, or building APIs for conversational agents.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8657497002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8657497002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Go","cloud platforms","distributed systems","databases","object-oriented programming","data structures","algorithms"],"x-skills-preferred":["LLM orchestration","Vector Databases","building APIs for conversational agents"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-30T14:16:53.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, cloud platforms, distributed systems, databases, object-oriented programming, data structures, algorithms, LLM orchestration, Vector Databases, building APIs for conversational agents"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4bb67056-546"},"title":"Senior Security Assurance Analyst","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft connects people to transportation to change the way we live and get around our communities.</p>\n<p>Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe.</p>\n<p>Lyft&#39;s Customer Trust team ensures that appropriate security controls and data protections are applied to meet our compliance requirements and customer contractual commitments.</p>\n<p>We conduct security risk assessments, consult with organizational stakeholders, monitor and continuously improve Lyft&#39;s Information Security program, facilitate third-party security audits, work with engineering teams to implement, automate, and monitor security controls, develop policies, and advise on all matters related to information security assurance.</p>\n<p>We are looking for a highly motivated, organized, and detail-oriented individual to join our Customer Trust team.</p>\n<p>As a senior member of this team, you will own a portfolio of concurrent, multi-program compliance efforts and help ensure Lyft meets its enterprise promises and contractual commitments to customers on security and privacy across global markets.</p>\n<p>You&#39;ll manage relationships with external auditors and internal stakeholders, scale our program through efficient processes and automation, and serve as a trusted advisor on technical compliance matters spanning North America, the EU, and the UK.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Program &amp; Audit Ownership</li>\n</ul>\n<ul>\n<li>Own and lead our ISO 27001 compliance program end-to-end, from certification planning and internal audit through surveillance cycles and Statement of Applicability updates</li>\n</ul>\n<ul>\n<li>Drive execution across our multi-program compliance portfolio spanning SOC 2, PCI DSS, HIPAA, and NIST CSF, alongside global and international frameworks including UK Cyber Essentials, Spain ENS, and emerging EU regulations such as the Cyber Resilience Act (CRA), Radio Equipment Directive (RED), and NIS2</li>\n</ul>\n<ul>\n<li>Serve as the primary liaison to external auditors, QSAs, and certification bodies, managing the full audit lifecycle across concurrent engagements and keeping internal stakeholders aligned on timelines and deliverables</li>\n</ul>\n<ul>\n<li>Risk, Policy &amp; Stakeholder Advisory</li>\n</ul>\n<ul>\n<li>Own the Security Risk Management Framework, ensuring risk identification, treatment, and reporting activities are consistently managed, tracked, and communicated across the business</li>\n</ul>\n<ul>\n<li>Lead the development, review, and maintenance of internal information security and data protection policies, standards, and procedures, and drive policy awareness across the organization</li>\n</ul>\n<ul>\n<li>Build and maintain strong cross-functional relationships with Engineering, Legal, Privacy, and Sales, advising on complex compliance requirements and translating technical risk into clear, actionable guidance for both technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>Support review of security provisions in customer contracts, MSAs, and security exhibits, partnering with Legal and Sales to provide clear, actionable security positions during negotiations</li>\n</ul>\n<ul>\n<li>Evidence, Automation &amp; Tooling</li>\n</ul>\n<ul>\n<li>Drive evidence collection and continuous control testing using our workflow tools (Jira, Confluence), building scalable and repeatable processes across programs</li>\n</ul>\n<ul>\n<li>Partner with Engineering to design, implement, and monitor automated evidence collection, continuous control testing, and remediation tracking</li>\n</ul>\n<ul>\n<li>Leverage AI tools and LLM-based workflows to automate and improve compliance and assurance processes, documentation, and controls , for example accelerating evidence review, policy drafting, control testing, and questionnaire responses , and share effective approaches with the broader team</li>\n</ul>\n<ul>\n<li>Customer-Facing Assurance</li>\n</ul>\n<ul>\n<li>Own responses to customer security questionnaires (e.g., CAIQ, SIG) and management of our external trust center (SafeBase), balancing transparency with proportional disclosure</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of experience in security governance, risk, and compliance (GRC), IT audit, or a related security assurance role</li>\n</ul>\n<ul>\n<li>5+ years of hands-on experience with ISO 27001 and PCI DSS</li>\n</ul>\n<ul>\n<li>In-depth knowledge of other regulatory compliance and related assessments/certifications, including SOC 2, HIPAA, and NIST CSF</li>\n</ul>\n<ul>\n<li>Experience managing a multi-program compliance portfolio spanning global and international requirements, including EU and UK compliance frameworks, standards, or regulations</li>\n</ul>\n<ul>\n<li>Experience managing, reviewing, and drafting InfoSec policies and procedures</li>\n</ul>\n<ul>\n<li>Strong technical background with the ability to communicate and negotiate effectively with engineering teams</li>\n</ul>\n<ul>\n<li>Excellent cross-functional communication and leadership skills, with the ability to initiate and drive projects proactively and influence prioritization and strategic decisions</li>\n</ul>\n<ul>\n<li>Ability to manage a large workload and competing priorities amid resourcing constraints and tight deadlines</li>\n</ul>\n<ul>\n<li>Strong written and verbal communication skills, able to flex across technical, business, and executive audiences</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n</ul>\n<ul>\n<li>Mental health benefits</li>\n</ul>\n<ul>\n<li>Family building benefits</li>\n</ul>\n<ul>\n<li>Child care and pet benefits</li>\n</ul>\n<ul>\n<li>401(k) plan with company match to help save for your future</li>\n</ul>\n<ul>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n</ul>\n<ul>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n</ul>\n<ul>\n<li>Subsidized commuter benefits</li>\n</ul>\n<ul>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8662388002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8662388002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["ISO 27001","PCI DSS","SOC 2","HIPAA","NIST CSF","GRC","IT audit","information security assurance"],"x-skills-preferred":["CISA","CISSP","CISM","CRISC","ISO 27001 Lead Auditor/Implementer","Big 4 or Big 3 consulting experience","scripting and automation skills","cloud technologies such as AWS/GCP/Azure"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-10T18:39:15.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"ISO 27001, PCI DSS, SOC 2, HIPAA, NIST CSF, GRC, IT audit, information security assurance, CISA, CISSP, CISM, CRISC, ISO 27001 Lead Auditor/Implementer, Big 4 or Big 3 consulting experience, scripting and automation skills, cloud technologies such as AWS/GCP/Azure"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0e721ff3-24c"},"title":"Senior Product Manager, Verticals","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product.</p>\n<p>Product management at Lyft leads the integration of engineering, data science, and design to achieve the company&#39;s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco headquarters.</p>\n<p>Lyft&#39;s Verticals team owns three of the most strategically important and operationally complex marketplaces in our business: airports, scheduled rides, and events. These are the moments that matter most. Airports are a defining touchpoint in the Lyft experience: high-stakes, high-complexity, and critical to both rider trust and driver earnings. Scheduled rides give riders confidence and control while giving drivers greater predictability. Events, from packed stadium concerts to sold-out games, require precision logistics and seamless coordination at scale. Together, these verticals represent some of the highest-intent, highest-value use cases on the Lyft platform.</p>\n<p>As a Senior Product Manager on the Verticals team, you&#39;ll lead a cross-functional team to shape how millions of people plan, book, and experience their journeys across these critical moments. You&#39;ll build seamless booking flows, deeply personalized experiences, and robust integrations with travel and event partners. You&#39;ll also take on some of the most complex challenges in rideshare: optimizing rider-driver matching in dynamic, high-variability environments, advancing demand forecasting, improving real-time driver guidance, and designing targeted incentives that drive growth. The solutions you build need to work everywhere, from a quiet regional airport to JFK, and from a Tuesday morning scheduled ride to 60,000 fans leaving a stadium at once.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Understand Lyft&#39;s strategic and competitive position.</li>\n</ul>\n<p>Set goals and success metrics that align with Lyft&#39;s mission and drive maximum impact based on data analysis, market research, and usability studies</p>\n<ul>\n<li>Set an incredibly ambitious vision that motivates and inspires your team, peers, and leadership, and that accounts for the distinct dynamics of airports, scheduled rides, and events</li>\n<li>Completely own your team&#39;s products, existing or new, from ideation through development, experimentation, launch, growth, and maintenance, caring deeply about both rider and driver experiences</li>\n<li>Lead and align cross-functional partners, including engineers, designers, data scientists, analysts, marketers, business partners, and operations, to drive a shared vision</li>\n<li>Communicate clear roadmaps, priorities, experiments, and decisions across a wide spectrum of audiences from partner teams to executive leadership</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>6+ years of experience in product management, product design, or equivalent consulting experience with significant time spent leading consumer mobile apps or marketplace products</li>\n<li>Experience working with or alongside data science and operations teams on complex products; familiarity with experimentation, marketplace dynamics, or logistics is a plus</li>\n<li>Passion for Lyft and what we are trying to achieve in sustainable urban transportation</li>\n<li>Natural ability to make things happen around you.</li>\n</ul>\n<p>You manage project ambiguity, complexity, and interdependencies in an organized and structured way</p>\n<ul>\n<li>Strong ability to define and analyze metrics that inform the success of products and the health of the business</li>\n<li>Excellent judgment and thoughtfulness about the dynamics of a product ecosystem, including balancing the needs of riders and drivers</li>\n<li>Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership</li>\n<li>Experience leading post-launch optimizations, including developing testing strategies</li>\n<li>Ability to conceptualize, manage, and prioritize multiple projects for stakeholders</li>\n<li>Detail oriented with superior organizational skills.</li>\n</ul>\n<p>Balancing multiple projects, deadlines, and requests should be second nature to you</p>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave.</li>\n</ul>\n<p>Biological, adoptive, and foster parents are all eligible</p>\n<ul>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8860904002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8860904002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000 - $185,000","x-skills-required":["product management","data analysis","market research","usability studies","experimentation","marketplace dynamics","logistics"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-01T18:25:17.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"product management, data analysis, market research, usability studies, experimentation, marketplace dynamics, logistics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":185000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_61f5af4c-025"},"title":"Senior Product Manager, Trust & Safety","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative and analytical skills to drive forward a best in class product. Product management at Lyft leads the integration of engineering, data science, and design to achieve the company&#39;s vision for reinventing transportation. We are looking for entrepreneurial and passionate Product Managers to innovate and execute across a rapidly growing, fast paced company and industry from our San Francisco and New York offices.</p>\n<p>Trust and Safety is at the core of Lyft’s business. Our work ensures that our drivers and riders are part of a trusted and trusting community. Lyft’s global expansion and the development of a hybrid platform (with autonomous vehicles driving side by side to drivers) are a unique opportunity to help us redefine how we deliver in our promise of safety. This is a highly cross functional role that will partner with our Growth organization to rethink how we support these partnerships.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design and build the future of the platform that supports Safety in our journey for global expansion, setting up an ambitious vision and roadmap that motivates and inspires your team, peers, and leadership, and that accounts for the uniqueness of our partners and community members.</li>\n<li>Partner directly with engineering, data science, ML, design, and research teams to develop safety solutions uniquely tailored to each of our partners while maintaining a core platform that allows for speed of execution and maintainability.</li>\n<li>Partner with Policy and Support teams to develop solutions that provide a cohesive experience to Drivers and Riders whenever they encounter issues when using Lyft.</li>\n<li>Represent Trust and Safety as the SME in all our ongoing and new partnerships, ensuring that all new requirements are captured and well understood by the team.</li>\n<li>Ability to conceptualize, manage and prioritize multiple projects for stakeholders</li>\n<li>Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of experience in Product Management, with experience in Trust and Safety roles.</li>\n<li>Deep technical acumen, with experience delivering platform solutions that accelerate integrations with third parties. Engineering or Computer Science Degree strongly preferred.</li>\n<li>Experience leading a team of engineers and setting clear goals, strategies, and long term roadmaps.</li>\n<li>Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them.</li>\n<li>Demonstrated impact working with internal and external partners, across cultures and working styles.</li>\n<li>Strong communication skills and intuition for communication strategy at every level: within teams, with partner teams, and to executive leadership.</li>\n<li>Detail oriented with superior organizational skills -- balancing multiple projects, deadlines, and requests should be second nature to you.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8900844002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8900844002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Trust and Safety","Technical Acumen","Leadership","Communication"],"x-skills-preferred":["Engineering","Computer Science","Data Science","ML","Design"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-19T20:23:26.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"Product Management, Trust and Safety, Technical Acumen, Leadership, Communication, Engineering, Computer Science, Data Science, ML, Design"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4879b2af-cbc"},"title":"Senior Product Manager, Trust & Safety","description":"<p>We&#39;re looking for a Senior Product Manager, Trust &amp; 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As a Senior Product Manager, you will build and optimize AI agents that handle customer support interactions across chat and voice channels. You will partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Build and optimize AI agents that handle customer support interactions across chat and voice channels</li>\n<li>Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors</li>\n<li>Write, test, and refine prompt logic and conversation flows for specific customer use cases</li>\n<li>Partner with support operations teams to understand workflows, pain points, and opportunities</li>\n<li>Run rapid feedback loops between customer interactions and product development to continuously improve agent performance</li>\n<li>Serve as the in-house expert on AI agent development, translating technical capabilities into business impact</li>\n<li>Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>\n<li>Create an AI strategy that scales as Lyft grows</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>5+ years of experience in product management, with experience or familiarity with AI, ML, or conversational interfaces</li>\n<li>Deep technical acumen,ability to understand and shape AI system designs, including prompt engineering and agent architectures</li>\n<li>Experience leading a team of engineers and setting clear goals, strategies, and multi-quarter roadmaps</li>\n<li>Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them</li>\n</ul>\n<p>Strengths:</p>\n<ul>\n<li>Customer obsession: You care deeply about delivering excellent support experiences and dive deep into the details of customer problems</li>\n<li>Technical depth: You can engage credibly with engineers and understand AI/ML/LLM capabilities, limitations, and emerging developments</li>\n<li>Collaboration: You excel at working across functions,engineering, design, operations, and executive teams,to drive aligned outcomes</li>\n<li>Bias to action: You dive deep into complex problems, build elegant solutions, and move quickly to deploy them at scale</li>\n<li>Analytics: You rely on experimentation and data to make decisions and measure real-world impact</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8821337002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8821337002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","ML","conversational interfaces","product management","prompt engineering","agent architectures"],"x-skills-preferred":["Computer Science","Engineering","Math"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-18T16:27:19.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI, ML, conversational interfaces, product management, prompt engineering, agent architectures, Computer Science, Engineering, Math"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_efca6eda-94e"},"title":"Senior Product Manager, Customer Care AI","description":"<p>At Lyft, our mission is to improve people&#39;s lives with the world&#39;s best transportation.</p>\n<p>The Customer Care team is at the forefront of building intelligent AI agents that transform how Lyft delivers customer support. As AI capabilities evolve rapidly, we&#39;re moving beyond traditional automation to create AI agents that can understand complex customer needs, make intelligent decisions, and resolve issues with human-level quality.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and optimize AI agents that handle customer support interactions across chat and voice channels</li>\n<li>Partner directly with engineering, data science, and ML teams to design agent capabilities and behaviors</li>\n<li>Write, test, and refine prompt logic and conversation flows for specific customer use cases</li>\n<li>Partner with support operations teams to understand workflows, pain points, and opportunities</li>\n<li>Run rapid feedback loops between customer interactions and product development to continuously improve agent performance</li>\n<li>Serve as the in-house expert on AI agent development, translating technical capabilities into business impact</li>\n<li>Define success metrics and drive data-informed decisions to ensure optimal prioritization</li>\n<li>Create an AI strategy that scales as Lyft grows</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of experience in product management, with experience or familiarity with AI, ML, or conversational interfaces</li>\n<li>Deep technical acumen,ability to understand and shape AI system designs, including prompt engineering and agent architectures</li>\n<li>Experience leading a team of engineers and setting clear goals, strategies, and multi-quarter roadmaps</li>\n<li>Comfortable working in fast-moving, ambiguous environments where you shape solutions as much as implement them</li>\n</ul>\n<p><strong>Strengths:</strong></p>\n<ul>\n<li>Customer obsession: You care deeply about delivering excellent support experiences and dive deep into the details of customer problems</li>\n<li>Technical depth: You can engage credibly with engineers and understand AI/ML/LLM capabilities, limitations, and emerging developments</li>\n<li>Collaboration: You excel at working across functions,engineering, design, operations, and executive teams,to drive aligned outcomes</li>\n<li>Bias to action: You dive deep into complex problems, build elegant solutions, and move quickly to deploy them at scale</li>\n<li>Analytics: You rely on experimentation and data to make decisions and measure real-world impact</li>\n<li>Degree in Computer Science, Engineering, Math, or equivalent technical experience strongly preferred</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8783214002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8783214002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI","ML","conversational interfaces","product management","prompt engineering","agent architectures"],"x-skills-preferred":["Computer Science","Engineering","Math"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-08T16:26:00.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Product Management","industry":"Technology","skills":"AI, ML, conversational interfaces, product management, prompt engineering, agent architectures, Computer Science, Engineering, Math"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f3487b60-8c3"},"title":"Senior Product Designer, Mapping","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. For us, maps aren&#39;t just background graphics,they’re the core of the driver’s experience. While generic navigation apps focus on the everyday commute, Lyft Mapping is custom-built for the high-stakes, split-second realities of the rideshare experience.</p>\n<p>You will tackle all of these challenges and more, with end to end ownership over the full ride experience, including driver navigation and rider pickup experiences. We’re looking for a Senior Product Designer to advocate and maintain a user-obsessed culture within Lyft, and be happy and comfortable in a fast-paced, ever-changing environment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own core experiences end to end.</li>\n</ul>\n<p>Lead design for Mapping&#39;s most important user-facing surfaces, from problem definition through launch and iteration. Your primary areas, in order of focus:</p>\n<ul>\n<li>Core Navigation – turn-by-turn guidance, map zoom and motion details, and how drivers orient themselves with the road</li>\n<li>Real-time Feedback and Voice AI – how drivers report what&#39;s happening on the road, including emerging voice and AI-assisted experiences</li>\n<li>Map styling and 3D views – the visual language of the map itself, including 3D and map assets</li>\n<li>Map Tooling – internal tools that help Lyft&#39;s mapping and operations teams keep the map accurate</li>\n</ul>\n<ul>\n<li>Drive cross-organizational alignment.</li>\n</ul>\n<p>Proactively reach across organizational boundaries to partner with cross-functional leaders, synthesize competing feedback, and build consensus around complex design decisions.</p>\n<ul>\n<li>Work at the systems level.</li>\n</ul>\n<p>Build reusable design-system components, tooling, and map assets that improve the platform as well as individual features, so every surface built on the map gets better.</p>\n<ul>\n<li>Hold a high quality bar.</li>\n</ul>\n<p>Benchmark Lyft&#39;s map and navigation experiences against the leading map products, and use that bar to raise the quality of what we ship.</p>\n<ul>\n<li>Support accurate implementation.</li>\n</ul>\n<p>Partner closely with engineering and content design through build, edge cases, and launch, so what ships matches what was designed.</p>\n<ul>\n<li>Lead through ambiguity.</li>\n</ul>\n<p>Take complex, loosely defined problems, work with product and engineering leads to frame them, and drive alignment across teams with competing priorities.</p>\n<ul>\n<li>Raise the work (and work-ers) around you.</li>\n</ul>\n<p>Give critique that improves others&#39; work, communicate complex design decisions clearly to broad audiences, including leadership, and help shape how the team works.</p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of product design experience, with a portfolio showing end-to-end ownership of complex, shipped mobile experiences</li>\n<li>Experience designing maps, navigation, or location-based products</li>\n<li>Strong craft in interaction and visual design, and the ability to prototype at high fidelity to explore and communicate ideas</li>\n<li>Strong advocate and experimental mindset with AI-native prototyping and tooling, whether code-based, AI-assisted, or both</li>\n<li>Upholds Design+ quality: Confidently interprets and applies UX Standards (Accessibility, Safety, Reliability, Usability, and Lyft Product Language) to work</li>\n</ul>\n<p><strong>Nice to have</strong></p>\n<ul>\n<li>Motion design and 3D experience, especially for maps, animated components, and real-time interfaces</li>\n<li>Voice or conversational UI design experience</li>\n<li>Experience with driver, logistics, in-vehicle, or other high-stakes, glanceable interfaces</li>\n<li>Experience designing internal tools for operations or data teams</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8908003002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8908003002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD 136,000-170,000","x-skills-required":["product design","interaction design","visual design","AI-native prototyping","UX Standards"],"x-skills-preferred":["motion design","3D experience","voice or conversational UI design","driver, logistics, in-vehicle, or other high-stakes, glanceable interfaces","internal tools for operations or data teams"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T21:24:26.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"product design, interaction design, visual design, AI-native prototyping, UX Standards, motion design, 3D experience, voice or conversational UI design, driver, logistics, in-vehicle, or other high-stakes, glanceable interfaces, internal tools for operations or data teams","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":136000,"maxValue":170000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_482acc9c-6fd"},"title":"Senior PBP, Finance","description":"<p>As Senior People Business Partner for Finance at Lyft, you&#39;ll be the strategic people partner to Finance leadership. Lyft&#39;s Finance organization spans FP&amp;A, accounting, tax, treasury, investor relations, procurement, and increasingly operates across multiple countries and legal entities as Lyft grows internationally.</p>\n<p>You&#39;ll help shape how the organization is structured, how it plans its workforce, how it builds and keeps its talent, and how it adapts as the business changes. You&#39;ll be a trusted, candid advisor to our CFO and Finance leadership team, someone who understands the numbers as well as the people, and who is confident enough to push back when the plan doesn&#39;t add up.</p>\n<p>You&#39;ll report into People Business Partner leadership and work closely with Total Rewards, Talent Acquisition, Employee Relations, Team Member Experience and Legal. This role carries significant scope and autonomy, and suits someone who can operate at executive level while still getting into the details when it matters.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Advising Finance leadership, up to the executive level, on the people implications of business decisions, bringing a clear point of view rather than a list of options.</li>\n<li>Leading organizational design across Finance: spans and layers, team structures, role clarity and the reorganizations that come with growth, integration and change.</li>\n<li>Owning workforce planning and talent strategy for the Finance organisation: headcount, skills, location strategy and the trade-offs between them; talent reviews, succession planning, leadership development, and retention of critical people, including across newly integrated international teams.</li>\n<li>Guiding leaders through complex change, including restructures and M&amp;A integration, with a clear plan, well-prepared managers and honest communication.</li>\n<li>Shaping compensation and performance decisions through the annual cycle, making sure outcomes are fair, well-reasoned and defensible.</li>\n<li>Coaching senior leaders on their leadership, their teams and the conversations they&#39;d rather avoid.</li>\n<li>Using people data and insight to show leaders what&#39;s really happening in their organization and what to do about it.</li>\n<li>Handling sensitive and high-risk matters with discretion and judgement, partnering with Employee Relations and Legal as needed.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>10+ years of progressive HR experience, including substantial time as a senior HR business partner supporting director, VP and executive-level leaders.</li>\n<li>A track record of leading organizational design and change at scale, with measurable results.</li>\n<li>Proven ability to influence senior stakeholders, including when you&#39;re delivering a message they don&#39;t want to hear.</li>\n<li>Sound judgement on complex employee relations and high-risk people matters.</li>\n<li>Strong business and financial acumen.</li>\n<li>Comfort using AI tools and people analytics to work faster and make better-informed recommendations.</li>\n<li>Preferred: Experience supporting Finance or other corporate functions, and with multi-country or multi-entity organizations.</li>\n<li>Preferred: Exposure to M&amp;A integration or large-scale restructuring, in tech or marketplace environments.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8872290002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8872290002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["HR","organizational design","workforce planning","talent strategy","compensation","performance decisions","leadership development","people analytics"],"x-skills-preferred":["M&A integration","large-scale restructuring","multi-country or multi-entity organizations"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-06T22:04:06.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"HR, organizational design, workforce planning, talent strategy, compensation, performance decisions, leadership development, people analytics, M&A integration, large-scale restructuring, multi-country or multi-entity organizations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_21b85cbd-2e5"},"title":"Senior Payroll Analyst","description":"<p>Lyft is looking for a highly motivated individual to join the Accounting team as a Senior Payroll Analyst.</p>\n<p>This role will assist in the processing of bi-weekly payrolls in the US and Canada, maintaining related records, and developing and documenting various Payroll policies and procedures.</p>\n<p>The Senior Payroll Analyst will also assist in payroll processing and related tax reporting for the Company&#39;s quarterly equity vesting process and ESPP plan, as well as manage the Leave of Absence process for payroll.</p>\n<p>The ideal candidate must be able to demonstrate the ability to work and thrive in a fast-paced, dynamic, and rapidly changing environment.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Process payroll for assigned payrolls in the US and/or International</li>\n<li>Process inputs from compensation and benefits, including auditing benefits, compensation, and leave of absence data for assigned payrolls</li>\n<li>Coordinate LOA payments and return to work dates with vendors</li>\n<li>Coordinate with the relocation team on relocation data for employees</li>\n<li>Assist in the audit process of payroll taxes related to the Company&#39;s quarterly equity vesting process and ESPP plan</li>\n<li>Maintain SOX compliance in areas of responsibility</li>\n<li>Develop and document various Payroll initiatives designed to streamline the process and scale with the organisation</li>\n<li>Maintain and reconcile payroll records</li>\n<li>Provide prompt, courteous, and efficient customer service to employees who have questions regarding their pay, deductions, paid leave balances, and other payroll processes</li>\n<li>Ensure accurate and timely preparation of required tax reporting</li>\n<li>Partner closely with HR, Benefits, IT, Finance, and Accounting teams to develop and improve processes</li>\n<li>Prepare ad hoc reports as needed and perform other duties as assigned</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS degree in Accounting, Business, Finance, or equivalent experience</li>\n<li>5+ years of relevant experience in payroll; experience with mobile workforce, multi-jurisdictional payroll, multiple country processing, and equity vesting processes preferred</li>\n<li>Detail-oriented with excellent organisation, oral, and written communication skills</li>\n<li>Advanced computer skills: Microsoft Excel and Word</li>\n<li>Prior Workday, ADP Globalview, and Dayforce experience are highly desirable</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan to help save for the future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidised commuter benefits</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of the Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8908000002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8908000002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Accounting","Payroll","Microsoft Excel","Microsoft Word"],"x-skills-preferred":["Workday","ADP Globalview","Dayforce"],"x-benefits":["pension","health_insurance","dental","paid_leave","equity","relocation"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-23T22:19:53.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nashville, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"Accounting, Payroll, Microsoft Excel, Microsoft Word, Workday, ADP Globalview, Dayforce"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3aa3c2e4-da2"},"title":"Senior Manager, Global Workforce Planning","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft&#39;s Customer Care Operations team handles more than 1.7 million customer interactions every month. We support riders, drivers, and businesses across voice, chat, and messaging, through in-house teams and a global network of outsourced partners.</p>\n<p>As Senior Manager, Global Workforce &amp; Partner Management, you&#39;ll own how our global workforce is sized, scheduled, funded, and protected. You&#39;ll turn demand into capacity, manage the spend behind it, and own the business relationship with our outsourced partners. You&#39;ll work hand in hand with the Support Operations leaders who own service delivery and quality, giving them the plans, insights, and partner capacity they need to deliver for customers. Reporting to the Director, Global Strategy &amp; Operations, you&#39;ll lead Forecasting, Financial Planning &amp; Management, and Workforce Management, including Scheduling &amp; Real-Time Operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Plan the workforce. Own short- and long-range forecasting and capacity planning across channels, queues, languages, and lines of business. Lock and deliver rolling billable hour forecasts to our partners, so they can staff accurately and we can hold them accountable to the plan. Build the models behind our annual and half-year plans, and stress-test them as the business and AI adoption evolve.</li>\n</ul>\n<ul>\n<li>Hold teams accountable to the plan. Make sure in-house and partner teams staff to the forecast, schedule to requirements, and keep agents adherent and productive. Own forecast accuracy, staffing to plan, schedule adherence, occupancy, and shrinkage.</li>\n</ul>\n<ul>\n<li>Manage the queues. Monitor handle time, resolution time, and wait times in real time. When wait times degrade or a mass defect hits, lead urgent queue management to protect customers.</li>\n</ul>\n<ul>\n<li>Give leadership clear visibility. Set the goals, scorecards, and business reviews that show how we&#39;re performing on staffing, cost, and partner health. Develop and communicate concise, evidence-based narratives for leadership.</li>\n</ul>\n<ul>\n<li>Own workforce spend. Manage the Customer Care workforce budget with Finance across both internal and outsourced agents. Track cost per contact and the drivers behind it, such as headcount, overtime, and utilization. Govern partner billing end to end, including billable hours, rate structures, invoice accuracy, and performance-based credits.</li>\n</ul>\n<ul>\n<li>Own the partner business relationship. Manage the commercial side of our BPO partnerships, including contracts, governance cadences, executive business reviews, and commercial escalations. Partner with Procurement on new agreements and renewals.</li>\n</ul>\n<ul>\n<li>Be a trusted partner to Support Operations. Work alongside the support operations leaders who own service delivery and quality, so their customer goals and KPIs are met. Surface the insights that move productivity, wait times, and customer experience, and turn them into action together.</li>\n</ul>\n<ul>\n<li>Shape our footprint and resilience. Influence where work is done and by whom, including vendor allocation, site strategy, and location mix. Plan and test business continuity so capacity can shift quickly when disruptions hit.</li>\n</ul>\n<ul>\n<li>See around corners. Serve as Customer Care&#39;s primary point of contact with Product, Tech, and business leaders on what&#39;s changing across Lyft, from ride volume and AI improvements to launches, global growth, integrations, and new partnerships. Size and scope the support impact early so we&#39;re staffed, funded, and ready from day one.</li>\n</ul>\n<ul>\n<li>Make the case for investment. Size opportunities, articulate trade-offs, and build the business cases that fund strategic priorities.</li>\n</ul>\n<ul>\n<li>Build a best-in-class function. Get the most out of our workforce management tools and tech stack. Automate manual work, improve data and reporting, and make planning faster and more accurate.</li>\n</ul>\n<ul>\n<li>Build the team, inside and out. Hire, develop, and lead a team of managers and analysts, with clear ownership across a function where finance, operations, and technology meet. Extend that leadership to the workforce teams at our outsourced partners by setting clear goals for productivity, staffing, and scheduling.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>10+ years in contact center workforce management, support operations, or operations strategy, including 5+ years leading managers.</li>\n</ul>\n<ul>\n<li>A track record of owning workforce planning for a large, global, multi-channel, multi-language operation with both in-house and outsourced teams.</li>\n</ul>\n<ul>\n<li>Expert command of workforce execution metrics, including forecast accuracy, staffing to plan, adherence, occupancy, shrinkage, handle time, and wait time. You know how to hold in-house and partner teams accountable to them and how to stabilize queues quickly when things go wrong.</li>\n</ul>\n<ul>\n<li>Experience owning the commercial relationship with BPO partners at enterprise scale, including contracts, billing models, footprint, and site decisions.</li>\n</ul>\n<ul>\n<li>A strong financial foundation. You&#39;ve owned a workforce budget across internal and outsourced agents, managed cost per contact, and can turn capacity models into a clear story for Finance and senior leadership.</li>\n</ul>\n<ul>\n<li>Experience leading through influence, both with support operations leaders whose goals you help deliver and with partner teams you don&#39;t directly manage.</li>\n</ul>\n<ul>\n<li>Experience sizing the support impact of growth, launches, integrations, or new partnerships, ideally in a marketplace or platform business.</li>\n</ul>\n<ul>\n<li>Experience building business continuity plans across multiple vendors and regions.</li>\n</ul>\n<ul>\n<li>Hands-on experience with enterprise WFM tools, plus a builder&#39;s mindset for automating manual work and improving data and reporting.</li>\n</ul>\n<ul>\n<li>Practical AI fluency. You understand how automation changes demand, staffing, and partner economics, and you can lead teams through that shift.</li>\n</ul>\n<ul>\n<li>You&#39;re a trusted partner to Finance, Product, Tech, and Operations, and you&#39;re clear, direct, and decisive.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n</ul>\n<ul>\n<li>Mental health benefits</li>\n</ul>\n<ul>\n<li>Family building benefits</li>\n</ul>\n<ul>\n<li>Child care and pet benefits</li>\n</ul>\n<ul>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n</ul>\n<ul>\n<li>RRSP plan to help save for your future</li>\n</ul>\n<ul>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n</ul>\n<ul>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n</ul>\n<ul>\n<li>Subsidized commuter benefits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8908002002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8908002002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["workforce management","support operations","operations strategy","forecasting","financial planning","partner management","leadership","influence","communication","data analysis","AI fluency"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-22T15:40:11.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"workforce management, support operations, operations strategy, forecasting, financial planning, partner management, leadership, influence, communication, data analysis, AI fluency"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f286ed9-8d7"},"title":"Senior Machine Learning Engineer, Recommendations","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people&#39;s lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.</p>\n<p>If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.</p>\n<p>We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Model Development &amp; Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.</li>\n<li>System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems.</li>\n<li>Innovation &amp; Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks , critically evaluating new research and identifying high-impact use cases across business areas.</li>\n<li>Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals.</li>\n<li>Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions.</li>\n<li>Mentorship &amp; Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration.</li>\n<li>Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>M.S. or Ph.D. in Computer Science or related technical field</li>\n<li>5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields</li>\n<li>Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks</li>\n<li>Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning</li>\n<li>Experience with translating state-of-the-art ML research into production systems</li>\n<li>Proficiency in Python, Golang, or other programming language</li>\n<li>Proven ability to tackle ambiguous problems and deliver solutions at scale.</li>\n<li>Strong communication and interpersonal skills for effective cross-functional collaboration.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8430552002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8430552002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Deep Learning","Python","Golang","TensorFlow","PyTorch","Statistical Concepts","Hypothesis Testing","Regression Analysis"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-02-20T20:52:22.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Python, Golang, TensorFlow, PyTorch, Statistical Concepts, Hypothesis Testing, Regression Analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ed2b46f1-830"},"title":"Senior Machine Learning Engineer, Recommendations","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people&#39;s lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business.</p>\n<p>If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.</p>\n<p>We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Model Development &amp; Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions.</li>\n<li>System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems.</li>\n<li>Innovation &amp; Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks , critically evaluating new research and identifying high-impact use cases across business areas.</li>\n<li>Collaboration: Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals.</li>\n<li>Data-Driven Decision Making: Leverage data-driven insights to inform and refine ML strategies and solutions.</li>\n<li>Mentorship &amp; Technical Leadership: Provide technical direction, mentor Junior engineers, and foster a culture of learning and collaboration.</li>\n<li>Code Quality: Write production-level code and participate in code reviews to ensure quality and share knowledge across the team.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>M.S. or Ph.D. in Computer Science or related technical field</li>\n<li>5+ years (or Ph.D. with 3+ years) of experience in machine learning modelling or related fields</li>\n<li>Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks</li>\n<li>Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning</li>\n<li>Experience with translating state-of-the-art ML research into production systems</li>\n<li>Proficiency in Python, Golang, or other programming language</li>\n<li>Proven ability to tackle ambiguous problems and deliver solutions at scale.</li>\n<li>Strong communication and interpersonal skills for effective cross-functional collaboration.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8603653002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8603653002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Deep Learning","TensorFlow","PyTorch","Python","Golang","Statistical Concepts","Hypothesis Testing","Regression Analysis"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-23T14:20:06.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, TensorFlow, PyTorch, Python, Golang, Statistical Concepts, Hypothesis Testing, Regression Analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8c4b12db-6a2"},"title":"Senior Engineering Manager, Rider Loyalty, Partnerships, and Rider Pay","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>On the Rider team, we are growing our team with people who want to enrich the lives of our community through technology. You&#39;ll collaborate with highly cross-functional teams such as Product, Design, Data science, and Analytics, as well as other organizations like Driver, Partners, and Marketplace, to deliver on that promise. As the Senior Engineering Manager for the Rider Loyalty, Partnerships, and Rider Pay (PLP) group, you will lead multiple managers and Staff ICs with end-to-end teams, consisting of iOS, Android, and Server, to make Riders into Members and to build a robust network of partners that our Riders love. It is your responsibility to sweat the details by being customer-obsessed with specific Rider needs and to build innovative product solutions to address them.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Set the technical vision and team strategy for the PLP group and communicate that downwards, with peers, and upwards with ELT</li>\n<li>Coach and guide an organization of managers and engineers in their people and technical development</li>\n<li>Collaborate with cross-functional stakeholders to deliver high business impact</li>\n<li>Work closely with the Lyft recruiting team to hire high-potential candidates from diverse backgrounds</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS or equivalent in Computer Engineering, Computer Science, or a related field, or relevant work experience</li>\n<li>3+ years of experience managing engineering teams of 20+ members, including teams across iOS, Android, and Server platforms, as well as experience in managing managers</li>\n<li>Ability to thrive in a heavily cross-functional environment and drive projects to completion regardless of the organizational structure</li>\n<li>Passion for building scalable and extensible solutions that enable others and ensure a high-quality product</li>\n<li>Experience launching and supporting consumer-facing products at scale</li>\n<li>Strong technical foundation in mobile and server engineering</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8627439002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8627439002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["iOS","Android","Server","Computer Engineering","Computer Science"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-13T13:33:12.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"iOS, Android, Server, Computer Engineering, Computer Science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_58188290-22b"},"title":"Senior Data Scientist, Causal Inference","description":"<p>The Growth Products team at Lyft drives rider and driver acquisition to scale the business and balance the marketplace. As a Senior Data Scientist expert in causal inference and marketing mix models (MMM), you will lead efforts to measure and optimize investments across marketing channels.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver results across the entire lifecycle of data science solutions for Growth, from defining problems with cross-functional stakeholders to deploying production models.</li>\n<li>Own complex domains and develop long-term roadmaps to maximize business impact.</li>\n<li>Build statistical pipelines, write production code, and design/analyze experiments.</li>\n<li>Participate in the science on-call rotation to ensure automated campaigns operate successfully.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>Advanced degree in statistics, economics, mathematics, or equivalent industry experience.</li>\n<li>4+ years of industry experience in causal inference or data science.</li>\n<li>Proven ability to apply statistics to unstructured problems and deliver measurable results.</li>\n<li>Deep technical expertise in causal inference and tackling challenging measurement problems.</li>\n<li>Expertise in marketing mix modeling is highly preferred.</li>\n<li>Expertise in SQL and experience with large-scale data platforms.</li>\n<li>Proficiency in Python and working within production coding environments.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>401(k) plan with company match.</li>\n<li>Discretionary paid time off for salaried team members and 15 days paid time off for hourly team members.</li>\n<li>18 weeks of paid parental leave.</li>\n<li>Subsidized commuter benefits.</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8584695002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8584695002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistics","economics","mathematics","causal inference","data science","SQL","Python"],"x-skills-preferred":["marketing mix modeling"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-10T22:16:03.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"statistics, economics, mathematics, causal inference, data science, SQL, Python, marketing mix modeling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7f233a86-301"},"title":"Senior Data Scientist, Causal Inference","description":"<p>The Growth Products team at Lyft drives rider and driver acquisition to scale the business and balance the marketplace. As a Senior Data Scientist expert in causal inference and marketing mix models (MMM), you will lead efforts to measure and optimize investments across marketing channels.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver results across the entire lifecycle of data science solutions for Growth, from defining problems with cross-functional stakeholders to deploying production models.</li>\n<li>Own complex domains and develop long-term roadmaps to maximize business impact.</li>\n<li>Build statistical pipelines, write production code, and design/analyze experiments.</li>\n<li>Participate in the science on-call rotation to ensure automated campaigns operate successfully.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>Advanced degree in statistics, economics, mathematics, or equivalent industry experience.</li>\n<li>4+ years of industry experience in causal inference or data science.</li>\n<li>Proven ability to apply statistics to unstructured problems and deliver measurable results.</li>\n<li>Deep technical expertise in causal inference and tackling challenging measurement problems.</li>\n<li>Expertise in marketing mix modeling is highly preferred.</li>\n<li>Expertise in SQL and experience with large-scale data platforms.</li>\n<li>Proficiency in Python and working within production coding environments.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off and 18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8584595002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8584595002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistics","economics","mathematics","causal inference","data science","SQL","Python"],"x-skills-preferred":["marketing mix modeling"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-10T22:16:01.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"statistics, economics, mathematics, causal inference, data science, SQL, Python, marketing mix modeling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_913f3443-88b"},"title":"Senior Data Scientist, Causal Inference","description":"<p>The Growth Products team at Lyft drives rider and driver acquisition to scale the business and balance the marketplace. As a Senior Data Scientist expert in causal inference and marketing mix models (MMM), you will lead efforts to measure and optimize investments across marketing channels.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Deliver results across the entire lifecycle of data science solutions for Growth, from defining problems with cross-functional stakeholders to deploying production models.</li>\n<li>Own complex domains and develop long-term roadmaps to maximize business impact.</li>\n<li>Build statistical pipelines, write production code, and design/analyze experiments.</li>\n<li>Participate in the science on-call rotation to ensure automated campaigns operate successfully.</li>\n</ul>\n<p>Experience:</p>\n<ul>\n<li>Advanced degree in statistics, economics, mathematics, or equivalent industry experience.</li>\n<li>4+ years of industry experience in causal inference or data science.</li>\n<li>Proven ability to apply statistics to unstructured problems and deliver measurable results.</li>\n<li>Deep technical expertise in causal inference and tackling challenging measurement problems.</li>\n<li>Expertise in marketing mix modeling is highly preferred.</li>\n<li>Expertise in SQL and experience with large-scale data platforms.</li>\n<li>Proficiency in Python and working within production coding environments.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>401(k) plan with company match.</li>\n<li>Discretionary paid time off and 18 weeks of paid parental leave.</li>\n<li>Subsidized commuter benefits.</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8584688002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8584688002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["statistics","economics","mathematics","causal inference","data science","SQL","Python"],"x-skills-preferred":["marketing mix modeling"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-06-10T22:16:02.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"statistics, economics, mathematics, causal inference, data science, SQL, Python, marketing mix modeling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cddbeafc-6d6"},"title":"Senior Data Scientist, Algorithms, Lyft Biz","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Technical Leadership: Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products.</li>\n<li>End-to-End Modelling: Own the complete lifecycle of algorithmic solutions.</li>\n<li>Production Deployment: Partner closely with Engineering to build and scale production-grade ML systems.</li>\n<li>Experimentation &amp; Rigor: Define offline/online metrics, evaluation frameworks, and A/B testing strategies.</li>\n<li>System Optimization: Continually improve model performance across latency, accuracy, cost, and reliability.</li>\n<li>Algorithmic Innovation: Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods.</li>\n<li>Cross-Functional Influence: Translate complex business challenges into concrete algorithmic solutions.</li>\n<li>Mentorship &amp; Quality Bar: Mentor junior and mid-level scientists, providing technical guidance.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>Master&#39;s or PhD in Machine Learning, Computer Science, Statistics, Optimization, or a related quantitative field.</li>\n<li>Industry Background: 5+ years of hands-on experience developing, deploying, and maintaining production machine learning models and optimization systems.</li>\n<li>Core Technical Expertise: Deep knowledge of supervised/unsupervised learning, ranking/decisioning systems, probabilistic modeling, and causal inference.</li>\n<li>Technical Stack: Strong proficiency in Python, modern ML frameworks, and distributed data systems.</li>\n<li>Production ML Systems: Hands-on experience building end-to-end ML architectures.</li>\n<li>Experimental Design: Demonstrated track record of designing rigorous experimentation strategies.</li>\n<li>Domain Ownership: Proven ability to independently drive multi-project algorithmic scopes.</li>\n<li>Communication &amp; Leadership: Exceptional ability to translate complex technical concepts for non-technical stakeholders.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off</li>\n<li>18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8621789002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8621789002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000 - $185,000","x-skills-required":["Machine Learning","AI","Python","PyTorch","TensorFlow","scikit-learn","Spark","Snowflake","Databricks"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-07T03:48:32.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"Machine Learning, AI, Python, PyTorch, TensorFlow, scikit-learn, Spark, Snowflake, Databricks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":185000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6fb9b7db-b22"},"title":"Senior Data Scientist, Algorithm, Lyft Biz","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We are seeking a Senior Data Scientist to lead technical initiatives across the entire Lyft Business product suite.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Technical Leadership: Lead complex Machine Learning, AI, and causal inference initiatives across Lyft Business products.</li>\n<li>End-to-End Modelling: Own the complete lifecycle of algorithmic solutions,from problem formulation, data exploration, and feature engineering to deployment, monitoring, and iteration.</li>\n<li>Production Deployment: Partner closely with Engineering to build and scale production-grade ML systems, real-time inference services, batch pipelines, and feature stores.</li>\n<li>Experimentation &amp; Rigor: Define offline/online metrics, evaluation frameworks, and A/B testing strategies to ensure algorithms are reliable, fair, and aligned with business outcomes.</li>\n<li>System Optimization: Continually improve model performance across latency, accuracy, cost, and reliability using advanced tuning and scientific rigor.</li>\n<li>Algorithmic Innovation: Drive scientific excellence by introducing modern techniques in ML, optimization, reinforcement learning, or graph-based methods to unlock new product capabilities.</li>\n<li>Cross-Functional Influence: Translate complex business challenges into concrete algorithmic solutions in close collaboration with Product, Engineering, Operations, and Science teams.</li>\n<li>Mentorship &amp; Quality Bar: Mentor junior and mid-level scientists, providing technical guidance, conducting modeling critiques, and contributing to Lyft&#39;s broader ML standards and tooling.</li>\n</ul>\n<p><strong>Experience</strong></p>\n<ul>\n<li>Master&#39;s or PhD in Machine Learning, Computer Science, Statistics, Optimization, or a related quantitative field.</li>\n<li>Industry Background: 5+ years of hands-on experience developing, deploying, and maintaining production machine learning models and optimization systems.</li>\n<li>Core Technical Expertise: Deep knowledge of supervised/unsupervised learning, ranking/decisioning systems, probabilistic modeling, and causal inference.</li>\n<li>Technical Stack: Strong proficiency in Python, modern ML frameworks, and distributed data systems.</li>\n<li>Production ML Systems: Hands-on experience building end-to-end ML architectures.</li>\n<li>Experimental Design: Demonstrated track record of designing rigorous experimentation strategies.</li>\n<li>Domain Ownership: Proven ability to independently drive multi-project algorithmic scopes.</li>\n<li>Communication &amp; Leadership: Exceptional ability to translate complex technical concepts for non-technical stakeholders.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match</li>\n<li>Discretionary paid time off</li>\n<li>18 weeks of paid parental leave</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8620998002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8620998002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$148,000 - $185,000","x-skills-required":["Machine Learning","AI","Python","PyTorch","TensorFlow","scikit-learn","Spark","Snowflake","Databricks"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-07T03:49:32.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Data Science","industry":"Technology","skills":"Machine Learning, AI, Python, PyTorch, TensorFlow, scikit-learn, Spark, Snowflake, Databricks","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":148000,"maxValue":185000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_253c5b16-0c0"},"title":"Senior Business Systems Lead, Payroll & Time (Dayforce)","description":"<p>As the Business Systems Lead for Payroll &amp; Time, you will lead Lyft&#39;s global migration onto Dayforce following recent acquisitions.</p>\n<p>You will be backed by a mature, experienced Payroll Operations team who bring deep subject-matter expertise, while you own the technical and functional side: driving requirements, directing our systems integrator, and building the governance and vendor management model you&#39;ll run long-term as the platform&#39;s product/service owner.</p>\n<p><strong>Responsibilities:</strong></p>\n<p><strong>Own Requirements and Direct the Implementation Partner</strong></p>\n<ul>\n<li>Serve as the internal functional owner for the Dayforce payroll and time migration, driving requirements and directing the systems integrator partner.</li>\n<li>Translate payroll policy, collective bargaining terms, and statutory requirements , as defined by Payroll Operations and Legal , into actionable technical specifications.</li>\n<li>Validate vendor configurations against country-specific rules, with joint sign-off alongside Payroll Operations, before go-live.</li>\n<li>Act as the primary functional escalation point, facilitating trade-off decisions between Payroll Ops, Legal, and vendor teams , owning the technical trade-off while deferring to Payroll Ops/Legal on compliance interpretation.</li>\n<li>Partner with Program Management to identify and mitigate risks across migration waves.</li>\n</ul>\n<p><strong>Drive Migration Waves End-to-End</strong></p>\n<ul>\n<li>Scope requirements with cross-functional stakeholders ahead of each phased migration wave across the 12–15 country initial program.</li>\n<li>Lead parallel testing and payroll validation cycles to verify system logic against live pay rules prior to cutover.</li>\n<li>Manage cutover and hypercare support, serving as the technical escalation point until system stabilization.</li>\n<li>Own integration architecture between Dayforce and upstream/downstream systems , including Workday, Oracle ERP, and middleware platforms (Boomi preferred) , ensuring resilient, well-governed data flows.</li>\n<li>Align migration schedules with Workday and Oracle ERP initiatives to prevent deployment conflicts.</li>\n</ul>\n<p><strong>Own Steady-State Configuration and Continuous Improvement</strong></p>\n<ul>\n<li>Assume direct functional ownership of Dayforce payroll and time configuration post-implementation, as the platform&#39;s long-term product/service owner.</li>\n<li>Establish and run governance frameworks and formal vendor management practices , contract oversight, SLA management, escalation processes , that outlast the initial implementation.</li>\n<li>Maintain system documentation and runbooks to keep governance transparent and auditable.</li>\n<li>Evaluate new vendor releases, system updates, and regulatory changes , partnering with Payroll Ops and Legal on interpretation , to proactively plan platform updates.</li>\n<li>Ensure system configuration is built and maintained to the wage-and-hour, statutory pay, and data privacy requirements defined by Payroll Operations and Legal.</li>\n<li>Streamline operations by automating manual payroll and time-tracking workarounds.</li>\n<li>Support future expansion into scheduling configuration and provide system evidence for internal and external payroll audits.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8780095002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8780095002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Ceridian Dayforce","middleware/integration architecture","Boomi","Workday","Oracle ERP","governance frameworks","vendor management practices","payroll compliance","HR integration and automation platforms"],"x-skills-preferred":["global payroll transformations","M&A integrations","in-country payroll providers","Dayforce time tracking and scheduling modules","Workday HCM","enterprise HRIS/ERP integration patterns","payroll compliance across specific countries","high-growth technology environments","active M&A integrations"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-10T18:47:19.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"Ceridian Dayforce, middleware/integration architecture, Boomi, Workday, Oracle ERP, governance frameworks, vendor management practices, payroll compliance, HR integration and automation platforms, global payroll transformations, M&A integrations, in-country payroll providers, Dayforce time tracking and scheduling modules, Workday HCM, enterprise HRIS/ERP integration patterns, payroll compliance across specific countries, high-growth technology environments, active M&A integrations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd0d1453-49f"},"title":"Senior AI Software Engineer, Risk - Insurance Claims Management","description":"<p>The Risk Tech engineering organization at Lyft is seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers their insurance platform.</p>\n<p>You will collaborate with passionate colleagues from Engineering, Data Science, Product, and Claim Operations to deliver end-to-end solutions. This role offers the opportunity to define a leading claims management system for the industry, establishing a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.</li>\n<li>Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.</li>\n<li>Understand claim handling workflows, identify bottlenecks, and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions.</li>\n<li>Deliver scalable, reliable, high-quality, and well-tested solutions and code.</li>\n<li>Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.</li>\n<li>Lead code reviews, design reviews, production on-call support, and incident triaging process.</li>\n<li>Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>B.S., M.S. in Computer Science or related technical field or relevant work experience.</li>\n<li>6+ years of professional experience building scalable distributed systems with high availability, observability, and reliability requirements.</li>\n<li>Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders.</li>\n<li>Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.</li>\n<li>Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks.</li>\n<li>Experience driving AI adoption or AI automation tools to enhance development efficiency.</li>\n<li>Experience improving performance with robust evals, agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines, and implementing feedback loops.</li>\n<li>Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.</li>\n<li>Experience with data processing frameworks and tools like Spark, Kafka, Airflow, and cloud provisioning environments.</li>\n<li>Strong oral and written interpersonal skills.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>401(k) plan to help save for your future.</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off.</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits.</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8806580002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8806580002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","React/Next.js","data analysis","Spark","Kafka","Airflow","cloud provisioning environments","multimodal LLMs","RAG pipelines","agentic workflows","AI frameworks"],"x-skills-preferred":["Prior experience in insurance","claims management","workflow orchestration","external vendors","AI safety and alignment considerations","machine learning","NLP","related fields","A/B testing","experimentation frameworks"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T21:09:48.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, React/Next.js, data analysis, Spark, Kafka, Airflow, cloud provisioning environments, multimodal LLMs, RAG pipelines, agentic workflows, AI frameworks, Prior experience in insurance, claims management, workflow orchestration, external vendors, AI safety and alignment considerations, machine learning, NLP, related fields, A/B testing, experimentation frameworks"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4a21be33-996"},"title":"Senior AI Software Engineer, Risk - Insurance Claims Management","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides.</p>\n<p>Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities.</p>\n<p>This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.</p>\n<p>This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.</p>\n<p>We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.</li>\n</ul>\n<ul>\n<li>Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.</li>\n</ul>\n<ul>\n<li>Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions</li>\n</ul>\n<ul>\n<li>Deliver scalable, reliable, high quality and well-tested solutions and code.</li>\n</ul>\n<ul>\n<li>Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.</li>\n</ul>\n<ul>\n<li>Lead code reviews, design reviews, production on-call support and incident triaging process.</li>\n</ul>\n<ul>\n<li>Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>B.S., M.S. in Computer Science or related technical field or relevant work experience.</li>\n</ul>\n<ul>\n<li>6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.</li>\n</ul>\n<ul>\n<li>Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.</li>\n</ul>\n<ul>\n<li>Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.</li>\n</ul>\n<ul>\n<li>Experience developing AI features using multimodal LLMs, RAG pipelines, agentic workflows, and other relevant AI frameworks.</li>\n</ul>\n<ul>\n<li>Experience driving AI adoption or AI automation tools to enhance development efficiency</li>\n</ul>\n<ul>\n<li>Experience improving performance with robust evals,agent tracing tools, fine-tuning LLMs, optimizing RAG pipelines and implementing feedback loops.</li>\n</ul>\n<ul>\n<li>Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.</li>\n</ul>\n<ul>\n<li>Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.</li>\n</ul>\n<ul>\n<li>Strong oral and written interpersonal skills.</li>\n</ul>\n<ul>\n<li>Preferred:</li>\n</ul>\n<ul>\n<li>Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.</li>\n</ul>\n<ul>\n<li>Has knowledge about AI safety and alignment considerations.</li>\n</ul>\n<ul>\n<li>Background in machine learning, NLP, or related fields.</li>\n</ul>\n<ul>\n<li>Experience with A/B testing and experimentation frameworks</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n</ul>\n<ul>\n<li>Mental health benefits</li>\n</ul>\n<ul>\n<li>Family building benefits</li>\n</ul>\n<ul>\n<li>Child care and pet benefits</li>\n</ul>\n<ul>\n<li>401(k) plan to help save for your future</li>\n</ul>\n<ul>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n</ul>\n<ul>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n</ul>\n<ul>\n<li>Subsidized commuter benefits</li>\n</ul>\n<ul>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8806969002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8806969002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","React/Next.js","data analysis","Spark","Kafka","Airflow","multimodal LLMs","RAG pipelines","agentic workflows"],"x-skills-preferred":["insurance","claims management","workflow orchestration","AI safety","machine learning","NLP","A/B testing"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-14T21:09:50.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, React/Next.js, data analysis, Spark, Kafka, Airflow, multimodal LLMs, RAG pipelines, agentic workflows, insurance, claims management, workflow orchestration, AI safety, machine learning, NLP, A/B testing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c30ac124-c0a"},"title":"Senior Account Executive","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft Ads’ vision is to build the largest transportation media network. We leverage media to elevate the transportation experience for our users while building an exciting and sustainable advertising business. Our assets include Lyft in-app sponsorship opportunities, the largest bikeshare network in the country, off network audience programmatic solutions, as well as experiential activations. Our work is fun, challenging, and rewarding and we are looking for a customer-focused team member passionate about solving problems, delighting our agency partners, and winning new business.</p>\n<p>As a Senior Digital Account Executive for Lyft Media, you will be the primary point of contact for major advertising agencies and marketing clients. You will have discretion to shape the future of our growing media business while managing the day-to-day sales processes and relationships with advertising agencies.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Lead C Suite level conversations to increase revenue and grow strategic partnerships</li>\n<li>Demonstrate in-depth insights of the sales process and product combination</li>\n<li>Lead account planning process that aligns brand and Lyft’s resources to maximize opportunities</li>\n<li>Grow revenue, educate and lead strategic conversations with clients and navigate complex relationships</li>\n<li>Demonstrate expertise in all matters relevant to your book of business, including escalation and troubleshooting to resolve client issues</li>\n<li>Spearhead client education on products and give product updates to advise on the best approach to drive business outcomes for clients and agencies</li>\n<li>Lead collaboration with external clients and internal stakeholders</li>\n<li>Create compelling media packages and custom offerings to close new media business</li>\n<li>Build and manage sales pipelines while achieving quarterly revenue goals</li>\n<li>Work autonomously and independently to seek new sales opportunities, schedule relevant meetings, and cross-sell Lyft Media’s suite of advertising offerings</li>\n<li>Collaborate cross-functionally with the existing Lyft Media sales team and our external vendors to help outline and unlock new sales opportunities</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>10+ years of relevant business development, sales, and/or partnerships experience</li>\n<li>Demonstrated success in a closing sales position with Media Agencies and Clients direct</li>\n<li>Excellent written, verbal, and presentation skills</li>\n<li>Proven track record of exceeding revenue targets and goals</li>\n<li>A team-oriented mindset and the ability to work with a wide range of individuals</li>\n<li>Demonstrated ability to work independently/autonomously across all major sales functions</li>\n<li>Ability to lead as team continues to grow and evolve</li>\n<li>Strong strategic seller with deep customer relationships</li>\n<li>Experience successfully scaling a digital advertising business from the ground up</li>\n<li>Understanding of tools, solutions, processes, and overall systems within a media sales organization</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8843527002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8843527002","x-work-arrangement":null,"x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["sales","partnerships","media sales","advertising"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-24T22:12:16.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"sales, partnerships, media sales, advertising"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_689bf54c-d03"},"title":"Security Assurance Analyst, Security and Privacy","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Lyft connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft&#39;s Privacy and Compliance team ensures that appropriate security controls and data protections are applied to meet our compliance requirements and customer obligations. We conduct security risk assessments, consult with organisational stakeholders, monitor and continuously improve Lyft&#39;s Information Security program, facilitate third-party security audits, work with engineering teams to implement, automate, and monitor security controls, develop policies, and advise on all matters related to information security assurance. We also conduct risk assessments of our third parties to ensure we understand and can mitigate any associated risk.</p>\n<p>We are looking for a highly motivated, organised, and detail-oriented individual to join our Privacy and Compliance team. As a senior member of this team, you will support our third-party risk management program by conducting risk assessments and recommending mitigations. You will also help our Customer Trust team by completing inbound security and data protection questionnaires from potential partners and customers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Third Party Risk Assessments: Review vendor or partner requests from internal stakeholders, understanding the business purpose. Work with external stakeholders to collect relevant security and data protection information from third parties. Review the information and accurately assess and document the risk, and propose potential mitigations.</li>\n<li>Security Questionnaires: Draft responses to customer security questionnaires (e.g., CAIQ, SIG) and assist in the management of our external trust centre (SafeBase).</li>\n<li>Program Management: Help senior team members in managing workflows, queues, and tools. Help the team track and compile reporting and metrics.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<p><strong>Required</strong></p>\n<ul>\n<li>1-3 years of program management experience supporting third-party risk management and security compliance and assurance.</li>\n<li>Excellent attention to detail and organisational skills.</li>\n<li>Ability to manage a large workload and competing priorities amid resourcing constraints and tight deadlines.</li>\n<li>Strong written and verbal communication skills across technical, business, and executive audiences.</li>\n<li>Interest in leveraging AI tools or large language models (LLMs), including tools like Claude or Gemini, to automate, improve, or design compliance and assurance processes, documentation, or controls , for example AI-assisted evidence review, policy drafting, questionnaire completion, or pattern analysis across audit findings.</li>\n<li>Familiarity with GRC platforms (e.g., AuditBoard CrossComply, Vanta, or Drata), Safebase, Jira, and vendor management tools.</li>\n<li>Knowledge of microservices SaaS product infrastructures or tech stacks a plus.</li>\n</ul>\n<p><strong>Education</strong></p>\n<ul>\n<li>Bachelor&#39;s degree in Information Systems, Computer Science, Cybersecurity, Data Science, or a related field preferred.</li>\n<li>Relevant certifications such as Comptia Security+, Network+, PMP, CIPP a plus.</li>\n</ul>\n<p>Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule following the establishment of a Lyft office in Mexico City , Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8783345002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8783345002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["program management","third-party risk management","security compliance","GRC platforms","vendor management"],"x-skills-preferred":["microservices SaaS product infrastructures","tech stacks","Comptia Security+","Network+","PMP","CIPP"],"x-benefits":[],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-07T14:58:24.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Mexico City"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"program management, third-party risk management, security compliance, GRC platforms, vendor management, microservices SaaS product infrastructures, tech stacks, Comptia Security+, Network+, PMP, CIPP"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32096e18-6c4"},"title":"Salesforce Architect","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>We&#39;re looking for a Salesforce Architect to own the architecture of Lyft&#39;s commercial platform as it grows through acquisition. Reporting to the Manager, Sales Technology, you will define the target-state architecture across our Salesforce orgs, lead the consolidation of acquired-company CRM environments into Lyft&#39;s platform, and decide where data is unified versus federated. You&#39;ll work directly with Sales, RevOps, Marketing, Finance, Data, Privacy, and Legal partners to turn a reactive delivery function into a business enabler.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Drive enterprise-wide programs articulating program/project strategies on enabling technologies leveraging the Salesforce Platform.</li>\n<li>Identify and drive Lyft&#39;s organisational needs for Salesforce foundations, define the business or technology architecture, plan how large projects will be delivered, oversee the solution design and implementation.</li>\n<li>Effectively drive user experience and design strategies across Enterprise for platform adoption.</li>\n<li>Advise and mentor diverse teams and product groups on resources in technical and functional delivery aspects at a program level, using influence and adaptive communication strategies.</li>\n<li>Lead large cross-team system design discussions, offering alternate choices, trade-offs, and impact analysis with a focus on long-term solutions.</li>\n<li>Provide guidance on application and integration development best practices, Enterprise Architecture standards, and functional/technical solution architecture, including environment management, testing of the Salesforce Platform.</li>\n<li>Provide evidence-based design patterns for development of solutions on the Salesforce platform such as managed vs unmanaged packages, config vs low-code vs code, custom build vs native/appExchange offerings.</li>\n<li>Drive the adoption of best engineering development practices across multiple Salesforce Orgs and promote the creation of application and technical design documents that align with Salesforce best practices and seamless integration into Lyft&#39;s infrastructure.</li>\n<li>Possess deep understanding of native Salesforce features and functionality, as well as the ability to model a role hierarchy, data model, and appropriate sharing mechanisms.</li>\n<li>Identify and lead internal strategic initiatives to grow Salesforce adoption and return on investment and serve as an active contributor to engineering.</li>\n<li>Identification and proactive management of risk areas across enterprise and commitment to seeing an issue through to complete resolution.</li>\n<li>Lead assessment of architecture environment and requirements and design sound, scalable, and high-performing solutions on the Salesforce Platform that meet the Single Sign-on (SSO) requirements.</li>\n<li>Lead the technical integration of acquired companies&#39; CRM and GTM systems, including org strategy (consolidate vs. federate), data migration, deduplication and identity resolution, object and picklist harmonisation, and decommissioning of legacy orgs.</li>\n<li>Define and maintain the multi-org architecture and data model, including cross-org reporting, shared reference data, and territory/hierarchy design that survives each acquisition.</li>\n<li>Own the integration architecture connecting Salesforce to middleware (Boomi, Workato) and the wider GTM stack, and re-platform acquired companies&#39; equivalents onto Lyft standards.</li>\n<li>Partner with Privacy, Legal, and Security on data residency, retention, and subject-rights requirements as newly acquired entities bring additional countries into scope.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>8+ years building enterprise solutions on Salesforce, including hands-on work with the SOAP/REST, Bulk, Pub/Sub, Tooling, and Metadata APIs</li>\n<li>Salesforce Certified Application Architect and System Architect</li>\n<li>Experience owning architecture across multiple Salesforce orgs, including at least one org consolidation, migration, or merge</li>\n<li>Strong integration experience with Boomi, Workato, MuleSoft, or comparable middleware</li>\n<li>Data management depth: SQL/RDBMS, structured and unstructured stores, large-scale data migration and matching/dedupe</li>\n<li>CI/CD on the Salesforce platform (Copado, Gearset, AutoRABIT, or similar)</li>\n<li>Experience transitioning Salesforce processes into agentic AI solutions</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidised commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8852959002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8852959002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Salesforce","SOAP/REST","Bulk","Pub/Sub","Tooling","Metadata APIs","Salesforce Certified Application Architect","System Architect","Boomi","Workato","MuleSoft","SQL/RDBMS","CI/CD","Copado","Gearset","AutoRABIT"],"x-skills-preferred":["Salesforce Data 360","Salesforce Certified Technical Architect","M&A carve-out","post-merger integration","Tableau","Agentforce","GenAI/agentic tooling"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-28T18:36:22.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Salesforce, SOAP/REST, Bulk, Pub/Sub, Tooling, Metadata APIs, Salesforce Certified Application Architect, System Architect, Boomi, Workato, MuleSoft, SQL/RDBMS, CI/CD, Copado, Gearset, AutoRABIT, Salesforce Data 360, Salesforce Certified Technical Architect, M&A carve-out, post-merger integration, Tableau, Agentforce, GenAI/agentic tooling"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_276a592e-e4e"},"title":"Risk Analyst","description":"<p>The Risk team at Lyft is committed to innovative and evolving insurance solutions to accurately address exposures. You will facilitate the placement of select commercial insurance programs by working with a broad range of teams internally as well as broker and carrier partners.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Manage and/or assist in the renewal cycle for select commercial insurance programs</li>\n<li>Act as an insurance subject matter expert and advise internal teams on potential risks and insurance coverage requirements for company initiatives</li>\n<li>Maintain relationships with broker and carrier partners</li>\n<li>Review and negotiate insurance terms in contracts</li>\n<li>Document and track coverage structures and rates</li>\n<li>Provide administrative support for insurance programs including assistance on certificates of insurance, renewal submissions, policy and form reviews, and stewardship meetings</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Minimum of 4 years of experience in P&amp;C at an insurance carrier, broker or risk management role</li>\n<li>Bachelor or equivalent degree in Business, Finance, Accounting, Economics, Insurance or a related field</li>\n<li>Great communication and presentation skills</li>\n<li>Strong organisation and time management skills</li>\n<li>Balance attention to detail with fast-paced Lyft environment</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8883412002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8883412002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["commercial insurance","risk management","insurance carrier","broker","risk analysis"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-16T20:23:54.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"commercial insurance, risk management, insurance carrier, broker, risk analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b07fef7b-e62"},"title":"Risk Analyst","description":"<p>The Risk team at Lyft is committed to innovative and evolving insurance solutions to accurately address exposures. You will facilitate the placement of select commercial insurance programs by working with a broad range of teams internally as well as broker and carrier partners.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Manage and/or assist in the renewal cycle for select commercial insurance programs</li>\n<li>Act as an insurance subject matter expert and advise internal teams on potential risks and insurance coverage requirements for company initiatives</li>\n<li>Maintain relationships with broker and carrier partners</li>\n<li>Review and negotiate insurance terms in contracts</li>\n<li>Document and track coverage structures and rates</li>\n<li>Provide administrative support for insurance programs including assistance on certificates of insurance, renewal submissions, policy and form reviews, and stewardship meetings</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Minimum of 4 years of experience in P&amp;C at an insurance carrier, broker or risk management role</li>\n<li>Bachelor or equivalent degree in Business, Finance, Accounting, Economics, Insurance or a related field</li>\n<li>Great communication and presentation skills</li>\n<li>Strong organisation and time management skills</li>\n<li>Balance attention to detail with fast-paced Lyft environment</li>\n<li>Passionate about Lyft and ridesharing</li>\n<li>Highly innovative</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8883423002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8883423002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["commercial insurance","risk management","insurance carrier","broker","risk analysis"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-16T20:23:57.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"commercial insurance, risk management, insurance carrier, broker, risk analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1e47988f-b68"},"title":"Public Policy Manager, State & Local (CA)","description":"<p>Lyft is looking for an experienced Public Policy Manager to join its Policy Team. Based remotely in Sacramento, this position will manage state-level policy efforts in California, as well as Sacramento at the local level.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Develop and execute Lyft&#39;s legislative, regulatory, and political strategy at the state level and provide support at the local level mainly in Sacramento (SMF)</li>\n<li>Identify, cultivate and manage relationships with strategic third-party and business groups, non-profits and community organisations leveraging Lyft&#39;s internal programs and product offerings, in key markets. Regularly travel to attend community and industry events as needed.</li>\n<li>Work closely with business, communications and marketing teams to highlight relevant Lyft partnerships, capture key moments, strategize Lyft&#39;s engagement with large events and leverage relationships for business opportunities.</li>\n<li>Represent Lyft in interactions with elected officials, government agencies, staff, and business groups, including drafting and providing testimony in legislative and regulatory hearings and regularly travelling to attend political events and fundraisers as needed.</li>\n<li>Track legislation relevant to Lyft and inform company stakeholders and lines of business on legislative and regulatory developments.</li>\n<li>Develop strategic public engagement plans positioning Lyft as a &#39;Force for Good&#39; and reliable thought partner to state officials and third-party groups in key markets, while identifying other markets where Lyft&#39;s public engagement could advance Lyft&#39;s legislative and political strategy.</li>\n<li>Oversee statewide budget and work cross-functionally with Lyft senior management on developing public policy priorities.</li>\n<li>Mobilize supporters and activists to show their support during key legislative moments and/or ballot measures.</li>\n<li>Collaborate with Lyft&#39;s Legal, Compliance, Communications, Campaigns, Social Impact, and Operations teams to align market strategies with regulatory and legislative developments.</li>\n<li>Establish deep expertise on Lyft&#39;s public policy priorities.</li>\n<li>Manage external consultants to assist with key Lyft policy priorities.</li>\n<li>Draft comments, talking points, and memos for senior Lyft executives.</li>\n<li>Track and respond to business groups and government inquiries and requests on policy issues.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5-8 years of political and/or government affairs experience in California.</li>\n<li>Experience directly lobbying elected officials and/or government officials on complex public policy issues in California.</li>\n<li>Strong understanding of state-level, county, and municipal policymaking</li>\n<li>Exceptional strategic and problem-solving skills</li>\n<li>Ability to thrive in a fast-paced and demanding environment</li>\n<li>Proven self-starter with experience leading and winning on complex policy issues</li>\n<li>Natural connector and relationship builder</li>\n<li>Excellent communication skills (written, verbal, and presentation) – you know how to tell a good story and advocate your position</li>\n<li>Deep relationships with state and local policymakers</li>\n<li>Experience managing and collaborating with external consultants and lobbyists</li>\n<li>Strong understanding of municipal and state policymaking</li>\n<li>Knowledge of transportation, mobility, technology, autonomous vehicle, gig economy, and future of work policy</li>\n<li>Willingness to travel as needed</li>\n<li>Experience planning and executing stakeholder-facing events, including community engagement initiatives</li>\n<li>Experience directly negotiating, developing relationships and interacting with organised labor is a plus</li>\n<li>Lyft user / believer</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidised commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8888739002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8888739002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["political and government affairs","public policy","legislative and regulatory developments","strategic planning","relationship building","communication skills"],"x-skills-preferred":["transportation policy","mobility policy","technology policy","autonomous vehicle policy","gig economy policy","future of work policy","labour relations"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-15T20:35:51.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Sacramento, CA"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Policy & Public Affairs","industry":"Technology","skills":"political and government affairs, public policy, legislative and regulatory developments, strategic planning, relationship building, communication skills, transportation policy, mobility policy, technology policy, autonomous vehicle policy, gig economy policy, future of work policy, labour relations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_12574cca-224"},"title":"Program Manager, AV Safety Policy & Programs","description":"<p>Lyft is building the safety capability for autonomous mobility. As Program Manager, AV Safety Policy &amp; Programs, you&#39;ll own key parts of Lyft&#39;s AV Safety Management System (SMS) across all four pillars: Safety Policy, Safety Risk Management, Safety Assurance, and Safety Promotion.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own Lyft&#39;s AV safety policy framework, safety procedures, and partner-facing governance documentation, including version control and periodic review cycles.</li>\n<li>Run hazard identification and risk assessment for AV operations and new launches.</li>\n<li>Track safety performance indicators and trends, and surface emerging risks.</li>\n<li>Drive safety communications, lessons-learned documentation, and training readiness.</li>\n<li>Run the Safety Review Board (SRB) cadence, including agendas, materials, decision records, and follow-through on action items.</li>\n<li>Contribute to the standards and assessment frameworks Lyft uses with AV partners, and support partners&#39; safety assurance and risk management activities.</li>\n<li>Drive AV safety programs with safety leaders, including partners across EHS, Operations, Engineering, Legal, and others from inception through go-live.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years supporting or managing safety management programs in a safety-critical transportation industry (AV, aviation, rail, automotive, trucking, or equivalent)</li>\n<li>Working knowledge of SMS principles and how they apply to AV operations</li>\n<li>Hands-on experience with risk assessment, incident follow-up, and corrective action tracking</li>\n<li>Strong technical writing, including policy, procedures, and partner- or regulator-facing materials</li>\n<li>Comfort with safety data, including tracking indicators, spotting trends, and presenting findings to technical and senior audiences</li>\n<li>Proven ability to run multi-stakeholder programs without direct authority</li>\n<li>Bachelor&#39;s degree in safety, engineering, policy, or a related field, or equivalent practical experience</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8900349002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8900349002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["SMS principles","risk assessment","incident follow-up","corrective action tracking","technical writing","safety data analysis"],"x-skills-preferred":["AV safety frameworks","US AV reporting requirements","robotaxi","ridehail","fleet operations","multi-market or international safety operations"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-20T20:24:22.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Policy & Public Affairs","industry":"Technology","skills":"SMS principles, risk assessment, incident follow-up, corrective action tracking, technical writing, safety data analysis, AV safety frameworks, US AV reporting requirements, robotaxi, ridehail, fleet operations, multi-market or international safety operations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_32937925-e47"},"title":"Program Manager, AV Safety Policy & Programs","description":"<p>Lyft is building the safety capability for autonomous mobility. As Program Manager, AV Safety Policy &amp; Programs, you&#39;ll own key parts of Lyft&#39;s AV Safety Management System (SMS) across all four pillars: Safety Policy, Safety Risk Management, Safety Assurance, and Safety Promotion.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own Lyft&#39;s AV safety policy framework, safety procedures, and partner-facing governance documentation, including version control and periodic review cycles.</li>\n<li>Run hazard identification and risk assessment for AV operations and new launches.</li>\n<li>Track safety performance indicators and trends, and surface emerging risks.</li>\n<li>Drive safety communications, lessons-learned documentation, and training readiness.</li>\n<li>Run the Safety Review Board (SRB) cadence, including agendas, materials, decision records, and follow-through on action items.</li>\n<li>Contribute to the standards and assessment frameworks Lyft uses with AV partners, and support partners&#39; safety assurance and risk management activities.</li>\n<li>Drive AV safety programs with safety leaders, including partners across EHS, Operations, Engineering, Legal, and others from inception through go-live.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years supporting or managing safety management programs in a safety-critical transportation industry (AV, aviation, rail, automotive, trucking, or equivalent)</li>\n<li>Working knowledge of SMS principles and how they apply to AV operations</li>\n<li>Hands-on experience with risk assessment, incident follow-up, and corrective action tracking</li>\n<li>Strong technical writing, including policy, procedures, and partner- or regulator-facing materials</li>\n<li>Comfort with safety data, including tracking indicators, spotting trends, and presenting findings to technical and senior audiences</li>\n<li>Proven ability to run multi-stakeholder programs without direct authority</li>\n<li>Bachelor&#39;s degree in safety, engineering, policy, or a related field, or equivalent practical experience</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8900191002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8900191002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["safety management","risk assessment","technical writing","data analysis","program management"],"x-skills-preferred":["AV safety frameworks","robotaxi","ridehail","fleet operations","multi-market safety operations"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-20T20:24:20.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Policy & Public Affairs","industry":"Technology","skills":"safety management, risk assessment, technical writing, data analysis, program management, AV safety frameworks, robotaxi, ridehail, fleet operations, multi-market safety operations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7ecbe662-ba8"},"title":"Program Manager, AV Operational Excellence","description":"<p>The autonomous transition is a transformational opportunity for Lyft. Our strategy focuses on becoming the preferred marketplace, fleet, and operational partner for the world&#39;s best Autonomous Vehicle (AV) providers. As AV deployments scale across new markets, the operational infrastructure that enables safe, compliant, and high-quality service becomes a critical competitive advantage. This role sits at the heart of that infrastructure - owning the systems, processes, and partner alignment that allow Lyft to operate at the standards our AV partners require and our riders expect.</p>\n<p>As a qualified candidate, you have a track record of building and running complex operational programs in highly regulated or standards-driven environments. You are energized by cross-functional complexity - comfortable leading structured implementation processes that span many teams while keeping a clear eye on compliance and quality outcomes. You bring a program management mindset, strong stakeholder communication skills, and the judgment to navigate ambiguity in a fast-moving industry.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own execution of AV partner audits end-to-end. That includes evidence collection, submission, partner and third-party review, mitigation oversight, and closeout, across concurrent certification cycles for multiple markets and AV partners, domestic and international.</li>\n<li>Act as a strategic leader within the company to support cross-functional teams’ compliance controls and readiness for partner scrutiny</li>\n<li>Drive coordination across teams including EHS, Legal, Safety, HR, IT and Operations for every deliverable. Translate partner and regulatory requirements into concrete, assignable asks and ensure deadlines are met</li>\n<li>Maintain and continuously improve the audit tracking system, including the evidence library, audit trail, and submission tooling. Lead platform improvements as volume and complexity grow</li>\n<li>Identify non-conforming items surfaced during audits, assist in identifying mitigation, and track corrective actions with the owning function through to closure</li>\n<li>Manage the logistics and stakeholder prep for audits, including document readiness and staff interviews</li>\n<li>Build repeatable playbooks so each new market or partner audit cycle runs faster and with less rework than the last</li>\n<li>Report clearly and credibly on timelines and risk to leadership on behalf of AV Operational Excellence</li>\n<li>Act as the primary audit point of contact for AV partners</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years in program management, compliance, quality assurance, or audit-adjacent roles within a regulated or standards-driven environment</li>\n<li>A track record of driving structured, deadline-driven cross-functional work without formal authority over contributing teams. Comfortable pushing partners to deliver and escalating when needed</li>\n<li>Strong command of audit and evidence management mechanics: tracking systems, documentation rigor, version control, and chain-of-custody type discipline</li>\n<li>Experience with spreadsheet or database-driven tracking systems, and interest in modernizing them</li>\n<li>Prior exposure to AV, automotive, aviation, or another safety-critical, audited industry strongly preferred</li>\n<li>This is an individual contributor role at launch, with room to grow into leading a small team as certification volume scales</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8827588002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8827588002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["program management","compliance","quality assurance","audit"],"x-skills-preferred":["AV","automotive","aviation","safety-critical"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-22T17:07:06.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Technology","skills":"program management, compliance, quality assurance, audit, AV, automotive, aviation, safety-critical"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_20bccc25-d5e"},"title":"Procurement COE manager","description":"<p>Lyft is seeking an experienced Procurement Center of Excellence Manager to join our Global Supply Chain Team. In this role, you will enable Procurement best practices through process standardization and continuous improvement initiatives. You will develop strategic business partnership relationships and execute comprehensive strategies to support business growth and deliver operational excellence.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner with Global Supply Management (GSM) and cross-functional stakeholders to embed procurement standards into tooling and operational workflows</li>\n<li>Drive continuous improvement initiatives leveraging technology, insights, and leading best practices to enhance procurement effectiveness and user experience</li>\n<li>Operationalize policies through smart automation; designing intuitive workflows that reduce friction and maintain compliance</li>\n<li>Lead training and change management efforts for cross-functional stakeholders; using customer insights to drive change management</li>\n<li>Maintain documentation for procurement workflows and best practices across the organization</li>\n<li>Serve as an advisor and partner to the business, providing subject matter expertise on procurement policies, training, and compliance requirements</li>\n<li>Implement supplier relationship management (SRM) programs and KPIs to drive optimal performance and risk mitigation</li>\n<li>Lead the end-to-end development and enhancement of procurement workflows; leveraging AI and automation to guide end-users through intuitive design</li>\n<li>Excellent communication and interpersonal skills, with the ability to influence at all levels of the organization</li>\n<li>Strong analytical and ability to interpret data, identify trends, and make data-driven decisions</li>\n<li>Strong project management skills, with the ability to lead multiple projects simultaneously</li>\n<li>Support mergers, acquisitions, and business expansion activities through Sourcing Expertise</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>A bachelor&#39;s degree in Supply Chain Management, Business Administration, Engineering, or a related field is typically required.</li>\n<li>Relevant certifications (e.g., CSCP, CPM) may be advantageous.</li>\n<li>Experience with procurement technology platforms (e.g., Oracle, Zip), advanced analytics tools, and Google Workspace</li>\n<li>3 to 5+ years of experience in procurement or strategic sourcing, preferred</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8863960002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8863960002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["procurement","strategic sourcing","supply chain management","project management","data analysis"],"x-skills-preferred":["CSCP","CPM","Oracle","Zip","Google Workspace"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-05T05:23:04.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Logistics & Supply Chain","industry":"Technology","skills":"procurement, strategic sourcing, supply chain management, project management, data analysis, CSCP, CPM, Oracle, Zip, Google Workspace"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d74129a6-13b"},"title":"PhD Machine Learning Software Engineer Intern (Summer 2027)","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and beyond. We&#39;re actively building the next-generation Machine Learning (ML) platform for low-cost, ultra-immersive transportation to improve people&#39;s lives using modern ML with petabyte-scale data. Our Machine Learning Engineers are excited to work on these challenging problems and redefine solutions to directly impact various aspects of Lyft&#39;s primary business.</p>\n<p>As a PhD Machine Learning Engineer Intern on our Applied AI team, you&#39;ll take on an open research problem tied to product experiences used by millions of riders. Working closely with a Staff ML Engineer mentor, you&#39;ll scope the problem, develop and evaluate new methods on real data, and take the work far enough that it can be shared with the research community, with the goal of a paper submission to a top ML venue.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Own a research project from start to finish: frame the problem, review related work, propose new methods, and design rigorous offline and online evaluations</li>\n<li>Design, build, train and test ML models in areas such as reinforcement learning, sequential decision-making, personalization</li>\n<li>Write production-quality code that turns research prototypes into working pipelines on Lyft&#39;s data and ML infrastructure</li>\n<li>Partner with Product Managers, Data Scientists, and fellow ML Engineers to frame research questions within the business context</li>\n<li>Analyze experimental and observational data, and communicate findings clearly to both technical and non-technical audiences</li>\n<li>Write up results for publication at a peer-reviewed venue, with support from your mentor and the team</li>\n<li>Participate in code and spec reviews to ensure code quality and distribute knowledge</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, or a related technical field, and returning to your program after the internship, with a graduation date between December 2027 and Summer 2028 (required)</li>\n<li>A track record of ML research, shown through publications, preprints, or substantial research projects</li>\n<li>Strong foundation in reinforcement learning and sequential decision making, especially problems with delayed or long-horizon rewards</li>\n<li>Solid grounding in both causal inference and counterfactual evaluation</li>\n<li>Good understanding of ML libraries like PyTorch, TensorFlow, or JAX</li>\n<li>Strong programming skills in Python or a similar language</li>\n<li>Proven ability to effectively turn research ML papers into working code</li>\n<li>Curiosity and ability to quickly learn new concepts and technologies</li>\n<li>Strong problem solving mindset, resourcefulness, and willingness to figure things out independently through research or collaboratively through brainstorming</li>\n<li>Demonstrated oral and written communication skills</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options</li>\n<li>Mental health benefits</li>\n<li>In addition to holidays, interns receive 2 days paid time off and 3 days sick time off</li>\n<li>401(k) plan to help save for your future</li>\n<li>Subsidized commuter benefits</li>\n<li>Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8817974002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8817974002","x-work-arrangement":null,"x-experience-level":null,"x-job-type":"internship","x-salary-range":null,"x-skills-required":["Python","Machine Learning","Reinforcement Learning","Sequential Decision Making","Causal Inference","Counterfactual Evaluation","PyTorch","TensorFlow","JAX"],"x-skills-preferred":["Offline Reinforcement Learning","Off-Policy Evaluation","Learning from Logged Interaction Data","Recommender Systems","Personalization","Spark","SQL","Online Experimentation","A/B Testing"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-06T20:01:21.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine Learning, Reinforcement Learning, Sequential Decision Making, Causal Inference, Counterfactual Evaluation, PyTorch, TensorFlow, JAX, Offline Reinforcement Learning, Off-Policy Evaluation, Learning from Logged Interaction Data, Recommender Systems, Personalization, Spark, SQL, Online Experimentation, A/B Testing"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_743d53a1-f14"},"title":"People Business Partner, Lyft Urban Solutions","description":"<p>At Lyft, our purpose is to serve and connect. 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You&#39;ll report into the Senior People Business Partner for our Global Growth team, and work closely with Employee Relations, Total Rewards, Talent Acquisition, People Operations and Legal.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partnering with managers and leaders across LUS on team health, performance, development and retention, providing thought partnership that&#39;s direct, practical and grounded in the business.</li>\n<li>Leading the People responsibilities for the Montreal site, including liaising with CNESST, the OQLF, and running the 1% Training Law program.</li>\n<li>Manage people rhythms autonomously and with excellence: bringing performance reviews, compensation cycles, talent reviews, workforce planning, organizational health reporting and engagement surveys to life for your client groups, and making sure managers are ready for each.</li>\n<li>Supporting employee relations matters with care and sound judgement, from first conversation through to resolution, partnering with Employee Relations and Legal where cases are complex.</li>\n<li>Supporting organizational changes, from small team restructures to larger shifts in how LUS is organized, including planning, manager preparation, project management and team member communication.</li>\n<li>Applying Quebec employment law and practice to Lyft&#39;s global programs, and flagging early where something needs to be adapted locally.</li>\n<li>Using data to spot patterns, such as attrition, engagement and hiring trends, and bringing them to leaders with a clear view on what to do next.</li>\n<li>Partnering with Finance to track headcount cost, holding leaders accountable and advising on headcount shifts to remain neutral to budget while optimizing for business outcomes.</li>\n<li>Being a visible, trusted presence on site, particularly for teams who don&#39;t sit at a desk all day.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>5+ years of HR experience, including at least 2–3 years in an HR business partner or generalist role supporting managers directly.</li>\n<li>Working knowledge of Quebec employment law and experience applying it in practice.</li>\n<li>Professional fluency in French and English, written and spoken.</li>\n<li>Solid experience handling employee relations matters, including investigations, performance management and exits.</li>\n<li>Experience supporting both salaried, corporate employees and hourly, frontline and / or site-based populations.</li>\n<li>Experience in a company going through integration, restructuring or significant growth preferred.</li>\n<li>Comfort with HR systems (Workday or similar) and using data to support recommendations.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8872142002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8872142002","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Quebec employment law","HR business partner","Employee relations","French","English","HR systems"],"x-skills-preferred":["Experience in a company going through integration, restructuring or significant growth","Comfort with HR systems (Workday or similar)"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-06T20:44:23.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, QC"}},"employmentType":"FULL_TIME","occupationalCategory":"Human Resources","industry":"Technology","skills":"Quebec employment law, HR business partner, Employee relations, French, English, HR systems, Experience in a company going through integration, restructuring or significant growth, Comfort with HR systems (Workday or similar)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bfd4e444-4e8"},"title":"Partenaire d’affaires RH, Lyft Solutions Urbaines","description":"<p>We are seeking an HR Business Partner to join our Lyft Solutions Urbaines team in Montreal. 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As a member of this team, you will be responsible for evolving the platform that drives the global on-the-ground operations of our business.</p>\n<p>You will design features used in warehouses, vans, and on-the-ground to make our transportation systems reliable. You will tackle complex technical challenges and advocate for experiences that delight our operators and promote efficiency.</p>\n<p>As a product designer at Lyft, you will be involved in every step of product development, from brainstorming ideas to ensuring design quality through launch. You will use your interaction, visual, and product thinking skills.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Problem-solve, think big, and explore divergent concepts while understanding how to converge and build iteratively towards your vision.</li>\n<li>Plan strategically and think tactically as a partner with product and engineering to define the future of the team.</li>\n<li>Influence the shape of the product with research and data while executing design work using high-quality wireframes, mockups, user journeys, and cross-platform interactive prototypes.</li>\n<li>Advocate for design by sharing your work and presenting cross-functionally.</li>\n<li>Inspire the team by bringing new ideas to the table.</li>\n<li>Create a unified, end-to-end experience through close collaboration with team members.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>3+ years of experience working in UX, UI, HCI related fields with experience working on web and mobile design.</li>\n<li>Experience working with a lean team of engineers, product managers, and program managers.</li>\n<li>Experience designing innovative products for desktop and mobile.</li>\n<li>Excellent oral and written communication skills.</li>\n<li>Experience with user research methods and analysis.</li>\n<li>Expertise with Figma and other prototyping tools.</li>\n<li>Excellence in design craft.</li>\n<li>Ability to work with a low-ego, highly collaborative, cross-functional team.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, life insurance, and disability benefits.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Pet benefits.</li>\n<li>Access to a Lyft-funded Health Care Savings Account.</li>\n<li>RRSP plan with company match.</li>\n<li>Flexible paid time off policy.</li>\n<li>Subsidized commuter benefits and Lyft ride credits.</li>\n</ul>\n<p>The expected base pay range for this position in the Montreal area is CAD $88,000 - CAD $110,000.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8611874002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8611874002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD $88,000 - CAD $110,000","x-skills-required":["UX","UI","HCI","Figma","prototyping tools","user research methods","analysis"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-03T17:59:24.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Montreal, QC"}},"employmentType":"FULL_TIME","occupationalCategory":"Design","industry":"Technology","skills":"UX, UI, HCI, Figma, prototyping tools, user research methods, analysis","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":88000,"maxValue":110000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_66f22d6d-e36"},"title":"Operations Associate","description":"<p>Flexdrive, a subsidiary of Lyft, is looking for a motivated and organized Operations Associate to join the Cleveland team full-time. The successful candidate will provide quality in-person experiences by serving customers at local Flexdrive facilities, preparing them for the ride-sharing experience.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Assist customers with the car rental process, including Express Drive customer support, customer arrival/check-in, assigning drivers to rental vehicles, and processing rental returns.</li>\n<li>Prepare Flexdrive rental vehicles for Lyft drivers, including fueling and cleaning, installing telematics, license plates, conducting fleet vehicle inspections, and managing vehicle compliance documents.</li>\n<li>Manage vehicle lot organization, vehicle transportation, and daily rental operations.</li>\n<li>Identify and flag vehicle issues, program challenges, and bugs to the Operations Lead and internal/external partners.</li>\n<li>Build trust and work effectively with others to achieve results and team goals.</li>\n<li>Uphold Flexdrive&#39;s high standard of service while working with all drivers and be an ambassador for the Lyft brand.</li>\n<li>Take initiative and ownership to contribute to team success.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>1+ year of experience in an in-person customer service role, such as retail, technical support, or hospitality.</li>\n<li>Familiarity with the Cleveland area.</li>\n<li>Excellent customer service and problem-solving skills.</li>\n<li>Clear verbal and written communication skills.</li>\n<li>Patience, problem identification and solving, de-escalating situations, teamwork, and self-governance.</li>\n<li>Team player mentality.</li>\n<li>Valid unrestricted driver&#39;s license and satisfactory driving record.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options.</li>\n<li>Mental health benefits.</li>\n<li>Unlimited paid time off for salaried team members, 15 days for hourly team members.</li>\n<li>401(k) plan.</li>\n<li>18 weeks of paid parental leave.</li>\n<li>Pre-tax commuter benefits.</li>\n<li>Lyft Pink - team members get an exclusive opportunity to test new benefits of our Ridership Program.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8780060002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8780060002","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":"$16.62-$20.77","x-skills-required":["customer service","problem-solving","communication","teamwork","self-governance","vehicle management"],"x-skills-preferred":["proficiency in other languages","ride-sharing experience"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":["Driving licence"],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-03T18:13:44.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cleveland, OH"}},"employmentType":"FULL_TIME","occupationalCategory":"Operations","industry":"Automotive","skills":"customer service, problem-solving, communication, teamwork, self-governance, vehicle management, proficiency in other languages, ride-sharing experience"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8e760a26-cdc"},"title":"ML Software Engineer, Routing","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft&#39;s system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success.</p>\n<p>If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.</p>\n<p>Our technology stack runs on AWS, Kubernetes, Go, Python/C++, Apache Airflow, Flink, and Kafka. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions</li>\n<li>Make effective tradeoffs between model accuracy, its productization complexity and runtime performance</li>\n<li>Develop statistical, machine learning, or optimization models</li>\n<li>Write production quality code that can scale well to serve millions of requests per day</li>\n<li>Participate in code reviews, design reviews, production on-call support and incident triaging process</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience</li>\n<li>3+ years of Machine Learning experience</li>\n<li>Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark/Flink</li>\n<li>Proficiency in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)</li>\n<li>Ability to work in distributed teams spread across time zones. (EST and PST)</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8888403002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://www.lyft.com/","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8888403002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Python","C++","Go","AWS","Kubernetes","Apache Airflow","Flink","Kafka","SQL"],"x-skills-preferred":["big data processing","distributed data pipelines","Spark"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-10-14T22:13:31.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Python, C++, Go, AWS, Kubernetes, Apache Airflow, Flink, Kafka, SQL, big data processing, distributed data pipelines, Spark"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ac6f79f8-d15"},"title":"ML Software Engineer, ETA","description":"<p>We are hiring a Machine Learning Engineer to join our ETA team at Lyft. Our team builds and maintains Lyft&#39;s system responsible for estimating/predicting ETAs for every ride request on our platform.</p>\n<p>ETAs play a critical role in matching decisions, pricing estimates and overall user experience. Low latency, high reliability and high accuracy are paramount for our success.</p>\n<p>If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you.</p>\n<p>Our technology stack runs on AWS, Kubernetes, Go, Spark, Python and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions</li>\n<li>Make effective tradeoffs between model accuracy, its productization complexity and runtime performance</li>\n<li>Develop statistical, machine learning, or optimization models</li>\n<li>Write production quality code that can scale well to serve millions of requests per day</li>\n<li>Participate in code reviews, design reviews, production on-call support and incident triaging process</li>\n<li>Write well-crafted, well-tested, readable, maintainable code</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience</li>\n<li>3+ years of Machine Learning experience</li>\n<li>Nice-to-have: Experience with big data processing / distributed data pipelines and tools such as Apache Airflow and Spark</li>\n<li>Ability to work in distributed teams spread across time zones. (North America and Europe)</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8639200002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8639200002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Python","Apache Airflow","Spark","AWS","Kubernetes","Go"],"x-skills-preferred":["big data processing","distributed data pipelines"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-07-20T20:55:30.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Python, Apache Airflow, Spark, AWS, Kubernetes, Go, big data processing, distributed data pipelines"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_608ed8bc-88e"},"title":"Marketing Technology Lead","description":"<p>We are hiring a Marketing Technology Lead to own Lyft&#39;s B2B marketing technology stack, spanning marketing automation, content and web, lead routing, data enrichment, and attribution.</p>\n<p>As the senior technical owner of that stack, you will lead solution design, own the architecture and data model that carry a lead from first touch through to a qualified opportunity, and partner with Marketing Operations, Sales Operations, Sales Technology, Privacy, Legal, and Data to translate business needs into durable, scalable systems.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Serve as the senior technical owner of the B2B marketing technology stack, from solution design through delivery, adoption, and ongoing support.</li>\n<li>Lead requirements gathering with Marketing Operations, Sales Operations, Sales Technology, and Data partners, and translate them into functional and technical designs.</li>\n<li>Remain hands-on, configuring and extending the marketing automation platform (HubSpot) across workflows, forms, lead scoring, and custom objects, and building the integrations that connect the stack.</li>\n<li>Own the marketing technology roadmap and architecture, including the lead and account data model, enrichment and routing logic, and integrations with the CRM, data platform, web, and advertising systems.</li>\n<li>Own the tracking and instrumentation layer, including tag management, site and campaign tracking, and the data capture behind attribution.</li>\n<li>Own the lead lifecycle systems, partnering with Sales Operations and Sales Technology on lead identity, deduplication, scoring, routing, MQL and SQL definitions, and funnel stage integrity.</li>\n<li>Identify where AI can improve the stack, from lead scoring and routing to content and campaign workflows, and lead the evaluation, adoption, and rollout of those capabilities.</li>\n<li>Assess the stack against target state and introduce new tools as the marketing motion matures.</li>\n<li>Set the technical standard through design review and documentation that accounts for failure states, scalability, and supportability.</li>\n<li>Maintain platform reliability by monitoring performance and email deliverability, supporting incident resolution, leading postmortems, and driving automation.</li>\n<li>Own the marketing tool portfolio and budget, from evaluation and selection through procurement, contracting, and renewals, partnering with Procurement, Legal, and Security.</li>\n<li>Serve as the technical expert and escalation point, and deliver technical enablement to partner teams.</li>\n<li>Partner with marketing leaders on prioritization, mentor the engineers and contractors supporting the stack, and support hiring.</li>\n<li>Communicate marketing technology strategy, roadmap, and vision to partner teams, and give senior leadership decision-ready updates on progress, risks, and tradeoffs.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8780046002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8780046002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["B2B marketing automation","HubSpot","marketing operations","lead routing","data enrichment","attribution","Salesforce","CRM","data platform","web tracking","tag management","AI","machine learning","SQL","Databricks","Snowflake"],"x-skills-preferred":["cloud data platform","REST APIs","webhooks","middleware"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-03T16:39:56.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"B2B marketing automation, HubSpot, marketing operations, lead routing, data enrichment, attribution, Salesforce, CRM, data platform, web tracking, tag management, AI, machine learning, SQL, Databricks, Snowflake, cloud data platform, REST APIs, webhooks, middleware"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_fa05c34c-299"},"title":"Manager, Legislative Counsel","description":"<p>Lyft is seeking a Legislative Counsel to join its Public Policy team in Washington, D.C. The successful candidate will shape the policy framework for the evolving ridesharing industry.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Provide legal expertise to Lyft&#39;s Public Policy team on legislative issues.</li>\n<li>Track, analyze, and evaluate proposed legislation across various topic areas, identifying risks and opportunities.</li>\n<li>Draft legislative language, amendments, and recommendations reflecting Lyft&#39;s users&#39; and business interests.</li>\n<li>Identify legislative trends and develop responsive strategies across subject matters and jurisdictions.</li>\n<li>Collaborate cross-functionally to assess legislative impacts and inform decision-making.</li>\n<li>Partner with Lyft&#39;s regional Public Policy team members on market-specific legislative efforts.</li>\n<li>Develop leading expertise on a specific issue area, in coordination with their manager.</li>\n<li>Coordinate with Lyft&#39;s compliance, legal, and operations teams as new regulatory frameworks are implemented.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Law degree required.</li>\n<li>5+ years of experience with legislative drafting for a local, state, and/or federal legislative body, or at a trade association or company.</li>\n<li>Exceptional ability to critically analyze policy and legal issues.</li>\n<li>Excellent written and verbal communication skills and attention to detail.</li>\n<li>Ability to thrive in a fast-paced, demanding environment.</li>\n<li>Self-starter; intrinsically motivated.</li>\n<li>Experience with insurance, transportation, technology, AI, privacy, or labor and employment law a plus.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available.</li>\n<li>Mental health benefits.</li>\n<li>Family building benefits.</li>\n<li>Child care and pet benefits.</li>\n<li>401(k) plan with company match.</li>\n<li>Discretionary paid time off for salaried team members and 15 days paid time off for hourly team members.</li>\n<li>18 weeks of paid parental leave.</li>\n<li>Subsidized commuter benefits.</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8852982002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8852982002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["legislative drafting","policy analysis","legal expertise","communication skills"],"x-skills-preferred":["insurance","transportation","technology","AI","privacy","labor and employment law"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-28T16:37:22.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington, DC"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"legislative drafting, policy analysis, legal expertise, communication skills, insurance, transportation, technology, AI, privacy, labor and employment law"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_dbe725ba-6ba"},"title":"Machine Learning Engineer, Safety and Customer Care AI","description":"<p>At Lyft, our purpose is to serve and connect.</p>\n<p>The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft&#39;s primary direct touchpoint with riders and drivers.</p>\n<p>As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Conduct literature review and build post-training framework and lifecycle.</li>\n<li>Curate and process human and synthetic data for SFT/LoRA/RLHF/RLAIF/RLVR, and iterate on model quality for real support and safety tasks.</li>\n<li>Develop, evaluate, and productionize AI agents, designing tools, state, and control flow in LangGraph (or equivalent) and taking them through the full agent development lifecycle.</li>\n<li>Build and scale evaluation frameworks, golden sets, rubric-based grading, LLM-as-judge where appropriate, and regression testing.</li>\n<li>Ship models and agents into real-time production, with the monitoring and guardrails needed to operate them safely at millions of interactions a month.</li>\n<li>Apply traditional ML (classification, ranking, gradient-boosted trees) where it&#39;s the right tool, and partner with product, ops, and data science to scope problems and define success metrics.</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>3+ years of industry experience in applied ML/AI, inclusive of an MS or PhD in Computer Science, Machine Learning, Artificial Intelligence or a related technical field.</li>\n<li>Post-training experience with open-source models.</li>\n<li>Hands-on familiarity with fine-tuning and preference-tuning paradigms such as SFT, LoRA, RLHF, RLAIF, and RLVR.</li>\n<li>Agentic development experience.</li>\n<li>Built and shipped agents with LangGraph or equivalent frameworks, and comfort with the full agent development lifecycle.</li>\n<li>Experience with AI/LLM evaluation.</li>\n<li>Designed metrics and built offline/online evaluation for generative systems.</li>\n<li>Experience deploying ML/AI applications to real-time production use cases.</li>\n<li>Strong programming skills in Python and hands-on experience with PyTorch.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Extended health and dental coverage options, along with life insurance and disability benefits</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>Access to a Lyft funded Health Care Savings Account</li>\n<li>RRSP plan with company match to help save for your future</li>\n<li>In addition to provincial observed holidays, salaried team members are covered under Lyft&#39;s flexible paid time off policy.</li>\n<li>The policy allows team members to take off as much time as they need (with manager approval).</li>\n<li>Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs.</li>\n<li>Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8684440002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8684440002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD $118,800 - CAD $148,500","x-skills-required":["Python","PyTorch","LangGraph","Machine Learning","Artificial Intelligence","LLM evaluation","Agentic development"],"x-skills-preferred":["Experience applying ML/AI to customer support or trust & safety workflows","PhD in Computer Science, Machine Learning, Statistics, or a related technical 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The group comprises several sub-teams that generate feasible offers for riders, match rider requests with drivers, and maintain a distributed state machine to track rides and drivers from request through completion.</p>\n<p>We are seeking a Machine Learning Engineer to join the Fulfillment team and lead the design, development, and deployment of state-of-the-art machine learning systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging machine learning and data science.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions</li>\n<li>Design and implement feature pipelines, model training workflows, and serving infrastructure using Lyft&#39;s ML platform</li>\n<li>Evaluate ML system performance against business KPIs, run experiments, and drive continuous model improvement</li>\n<li>Partner with ML engineers, product managers, data scientists, and software engineers to align ML initiatives with business goals</li>\n<li>Leverage data-driven insights to inform and refine ML strategies and solutions</li>\n<li>Write production-level code and participate in code reviews to ensure quality and share knowledge across the team</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>BS/MS in Computer Science, or a related field</li>\n<li>2+ years of experience in machine learning modeling or related fields</li>\n<li>Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks</li>\n<li>Understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning</li>\n<li>Experience with translating state-of-the-art ML research into production systems</li>\n<li>Proficiency in Python, Golang, or other programming language</li>\n<li>Proven ability to tackle ambiguous problems and deliver solutions at scale</li>\n<li>Strong communication and interpersonal skills for effective cross-functional collaboration</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. 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Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8689127002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8689127002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Machine Learning","Deep Learning","Python","Golang","TensorFlow","PyTorch","Statistical Concepts"],"x-skills-preferred":[],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-18T19:04:30.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Deep Learning, Python, Golang, TensorFlow, PyTorch, Statistical Concepts"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4ac9853c-ecd"},"title":"Legal Operations Specialist","description":"<p>We are looking for a detail-driven Legal Billing Specialist to join our growing Legal Operations Team. 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The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service</li>\n<li>Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.</li>\n<li>Subsidized commuter benefits and Lyft ride credits</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8792149002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8792149002","x-work-arrangement":null,"x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["eBilling","matter management","LEDES","Excel","analytical skills","communication skills","collaboration skills","financial management","process improvement"],"x-skills-preferred":["Ironclad","Evisort","Tonkean","Google Suite"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-10T20:58:34.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, ON"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"eBilling, matter management, LEDES, Excel, analytical skills, communication skills, collaboration skills, financial management, process improvement, Ironclad, Evisort, Tonkean, Google Suite"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_14263491-365"},"title":"Legal Operations Specialist","description":"<p>We are looking for a detail-driven Legal Billing Specialist to join our growing Legal Operations Team. 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Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8792126002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8792126002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["eBilling","matter management","LEDES","Excel","analytical skills","communication skills","collaboration skills","financial management","process improvement"],"x-skills-preferred":["Ironclad","Evisort","Tonkean","Google Suite"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-09-10T20:56:06.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nashville, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Legal","industry":"Technology","skills":"eBilling, matter management, LEDES, Excel, analytical skills, communication skills, collaboration skills, financial management, process improvement, Ironclad, Evisort, Tonkean, Google Suite"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7691fd2c-f71"},"title":"Investigator, Global Security","description":"<p>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.</p>\n<p>Reporting into the Manager of Global Investigations, the Investigator of Global Investigations will support all lines of business related to investigations (e.g. Platform Fraud, Community Safety, Law Enforcement Liaison &amp; Partnerships, Insurance Fraud and Executive Protection &amp; Risk Assessment). This role will efficiently and effectively build strong and meaningful relationships with internal business partners, law enforcement agencies, and other third parties to bring successful case resolution.</p>\n<p>This role regularly interacts with State/County/Local Law Enforcement in developing comprehensive and detailed cases pertaining to organized offenders and provides expertise to and gains buy-in from Law Enforcement Agencies to assist in the safe apprehension of these offenders.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Work in close partnership with the Manager of Global Investigations and Head of Global Security to set strategic objectives, drive accountability, and ensure successful delivery of key performance metrics</li>\n<li>Assist in the design and build of the global law enforcement outreach program, in order to regularly liaise and develop strategic relationships with law enforcement agencies</li>\n<li>Proactively maintain effective working relationships with law enforcement and government authorities</li>\n<li>Collaborate and build strong relationships with internal cross-functional partners, including Privacy/Identity/Integrity (PII), Risk, Community Safety, Legal, Public Policy, and other Operations teams and leaders across Lyft</li>\n<li>Plan and execute educational programs for law enforcement authorities on our business and challenges with external theft and loss</li>\n<li>Learn and develop a deep understanding of the businesses and activities related to Platform Fraud, Community Safety, Law Enforcement, Liaison &amp; Partnerships, Insurance Fraud and Executive Protection &amp; Risk Assessment</li>\n<li>Conduct and lead complex theft investigations related to organized crime and advise internal leaders and business partners</li>\n<li>Support different theft and loss initiatives being driven across the bikes and scooters line of business</li>\n<li>Act as a true thought leader by understanding trends in organized theft, and proactively driving continuous improvement across the company</li>\n<li>Contribute to the development and maintenance of Lyft&#39;s policies and practices in close partnership with internal cross-functional partners, including Privacy/Identity/Integrity (PII), Risk, Community Safety, Legal, Public Policy, and other Operations teams and leaders</li>\n<li>Assist with threat and risk assessments, investigations, mitigation, and protection efforts for Executive Protection</li>\n<li>Assist other business lines at Lyft with community outreach activities and initiatives as needed</li>\n<li>Ability to travel up to 50%</li>\n</ul>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Extensive experience working with law enforcement authorities (bonus points for interfacing with international law enforcement agencies)</li>\n<li>Significant experience in organized retail crime (ORC) detection and law enforcement partnerships</li>\n<li>Ability to gain buy in from Law Enforcement to resolve ORC investigations and knowledge and expertise in preparing for and testifying in Local/State/Federal Court</li>\n<li>Investigative experience identifying, resolving, conducting root cause analysis, and recommending deterrent enhancements</li>\n<li>Ability to participate, conduct, lead surveillance with law enforcement as it relates to large and complex external cases</li>\n<li>Must be able to gain buy in and support of multiple partners to ensure successful investigations</li>\n<li>Outstanding written, verbal, electronic communication and presentation skills</li>\n<li>Proven ability to track, prioritize and drive multiple concurrent projects</li>\n<li>Strong problem-solver with ability to thrive in a fast-paced startup environment</li>\n<li>Highest level of integrity and management of confidential information</li>\n<li>Bachelor’s degree or some higher education (preferred)</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>\n<li>Mental health benefits</li>\n<li>Family building benefits</li>\n<li>Child care and pet benefits</li>\n<li>401(k) plan with company match to help save for your future</li>\n<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>\n<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>\n<li>Subsidized commuter benefits</li>\n<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">Job Data by <a href=\"https://yubhub.co\">YubHub</a>.</p>","url":"https://job-boards.greenhouse.io/lyft/jobs/8675426002","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Lyft","sameAs":"https://lyft.com","logo":"https://logos.yubhub.co/lyft.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/lyft/jobs/8675426002","x-work-arrangement":null,"x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["law enforcement partnerships","organized retail crime detection","investigative experience","surveillance","written and verbal communication"],"x-skills-preferred":["international law enforcement agencies","testifying in court"],"x-benefits":["pension","health_insurance","dental","paid_leave"],"x-licences":[],"x-visa-sponsorship":"unknown","x-visa-sponsorship-text":null,"x-work-authorisation":"unknown","x-work-authorisation-text":null,"datePosted":"2026-08-06T14:32:53.000Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Nashville, TN"}},"employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"law enforcement partnerships, organized retail crime detection, investigative experience, surveillance, written and verbal communication, international law enforcement agencies, testifying in court"}]}