{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/scenario-planning"},"x-facet":{"type":"skill","slug":"scenario-planning","display":"Scenario Planning","count":7},"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_45612d4f-392"},"title":"Corporate Development & Partnerships Deal Lead","description":"<p>At Gusto, we&#39;re on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.</p>\n<p>With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve. All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success.</p>\n<p>We&#39;re looking for a full stack Deal Lead to join Gusto’s Corporate Development and Partnerships team. The ideal candidate brings experience driving growth for software and financial technology companies through M&amp;A and strategic partnerships, along with curiosity around using AI to accelerate that work.</p>\n<p>In this role, you will shape Gusto’s Build, Buy, Partner strategy and lead end to end transactions, leveraging AI tools to enhance market analysis, deal sourcing, and execution. Your contributions will play a key role in accelerating Gusto’s growth as we empower more than 400,000 small and mid-sized businesses to take care of their people.</p>\n<p>The Corporate Development and Partnerships team is a high impact group responsible for defining Gusto’s Build, Buy, Partner strategy and driving growth through M&amp;A and strategic partnerships. As a small but mighty team, we use technology, data, and AI to uncover opportunities faster, strengthen decision making, and deliver results that expand Gusto’s impact.</p>\n<p>Here’s what you’ll do day-to-day:</p>\n<ul>\n<li>M&amp;A and Partnership Strategy: Collaborate with product and executive leaders to refine strategy and roadmaps, using AI tools to assess markets, identify whitespace, and evaluate Build, Buy, Partner options.</li>\n</ul>\n<ul>\n<li>Deal Sourcing: Apply AI-driven market mapping and data synthesis to identify and prioritize high potential targets and partners across industries.</li>\n</ul>\n<ul>\n<li>Deal Execution: Lead the end-to-end transaction process, leveraging AI for due diligence analysis, financial modeling, and scenario planning to support negotiations and decision making.</li>\n</ul>\n<ul>\n<li>Market and Competitive Intelligence: Use AI to monitor strategic trends, startup activity, and competitive shifts in real time to inform Gusto’s growth strategy.</li>\n</ul>\n<ul>\n<li>Business Case Development: Utilize AI-assisted drafting and analysis tools to create clear, data-informed deal memos, financial models, and executive presentations.</li>\n</ul>\n<ul>\n<li>Stakeholder Alignment: Generate concise, AI-enabled updates that keep cross-functional partners informed and aligned throughout each deal phase.</li>\n</ul>\n<p>Here’s what we&#39;re looking for:</p>\n<ul>\n<li>Experience: 10+ years of relevant experience in corporate development, partnerships, investment banking, venture capital, or private equity, including at least 3 years at a high-growth software or fintech company.</li>\n</ul>\n<ul>\n<li>Deal Leadership: Proven ability to manage M&amp;A and partnership deals end-to-end, now leveraging AI tools to increase speed, accuracy, and insight.</li>\n</ul>\n<ul>\n<li>Product Minded: Strong product intuition and ability to collaborate with product and engineering teams on strategy.</li>\n</ul>\n<ul>\n<li>Analytical Strength: Exceptional modeling and analytical skills, with interest in integrating AI to enhance data analysis and forecasting.</li>\n</ul>\n<ul>\n<li>Strategic Communicator: Skilled at distilling complex information into actionable insights and communicating across all levels of the organization.</li>\n</ul>\n<p>Our cash compensation range for this role is $190,215 to $234,599 in San Francisco, CA. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_45612d4f-392","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Gusto","sameAs":"https://www.gusto.com/","logo":"https://logos.yubhub.co/gusto.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/gusto/jobs/6348898","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$190,215 to $234,599","x-skills-required":["M&A","Partnerships","Investment Banking","Venture Capital","Private Equity","AI","Data Analysis","Financial Modeling","Scenario Planning","Negotiations","Deal Execution"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:58:21.131Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Finance","skills":"M&A, Partnerships, Investment Banking, Venture Capital, Private Equity, AI, Data Analysis, Financial Modeling, Scenario Planning, Negotiations, Deal Execution","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":190215,"maxValue":234599,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_ca38c08d-e8f"},"title":"Staff Data Scientist - Marketing Analytics","description":"<p>Join us to build the measurement and decision engine for patient growth.</p>\n<p>As a Staff Data Scientist, Marketing Analytics, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering.</p>\n<p>Your job is to help Headway answer the questions that matter:</p>\n<ul>\n<li>What is truly incremental?</li>\n</ul>\n<ul>\n<li>Where should we invest next?</li>\n</ul>\n<ul>\n<li>What is driving performance shifts?</li>\n</ul>\n<ul>\n<li>How do we scale what works without fooling ourselves?</li>\n</ul>\n<p>You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. 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Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.</li>\n</ul>\n<ul>\n<li>Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.</li>\n</ul>\n<ul>\n<li>Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.</li>\n</ul>\n<ul>\n<li>Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.</li>\n</ul>\n<ul>\n<li>Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.</li>\n</ul>\n<p>What will make you successful:</p>\n<ul>\n<li>10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).</li>\n</ul>\n<ul>\n<li>Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.</li>\n</ul>\n<ul>\n<li>Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.</li>\n</ul>\n<ul>\n<li>Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.</li>\n</ul>\n<ul>\n<li>Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.</li>\n</ul>\n<ul>\n<li>Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.</li>\n</ul>\n<ul>\n<li>High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.</li>\n</ul>\n<ul>\n<li>You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.</li>\n</ul>\n<ul>\n<li>Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.</li>\n</ul>\n<ul>\n<li>Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).</li>\n</ul>\n<ul>\n<li>Experience partnering with Finance on budget allocation, payback, and scenario planning.</li>\n</ul>\n<ul>\n<li>Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_ca38c08d-e8f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Headway","sameAs":"https://www.headway.com/","logo":"https://logos.yubhub.co/headway.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/headway/jobs/5751646004","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$212,000 - $265,000","x-skills-required":["data science","analytics","experimentation","marketing","growth","SQL","Python","R","causal inference","incrementality","modeling","forecasting","LTV estimation","saturation","diminishing returns","MMM concepts","calibration","monitoring"],"x-skills-preferred":["geo experiments","marketplace constraints","capacity-aware marketing optimization","acquisition quality","downstream engagement","retention","clinical matching quality","unit economics","lifecycle marketing measurement","uplift","experimentation design for messaging","budget allocation","payback","scenario planning"],"datePosted":"2026-04-18T15:57:07.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Healthcare","skills":"data science, analytics, experimentation, marketing, growth, SQL, Python, R, causal inference, incrementality, modeling, forecasting, LTV estimation, saturation, diminishing returns, MMM concepts, calibration, monitoring, geo experiments, marketplace constraints, capacity-aware marketing optimization, acquisition quality, downstream engagement, retention, clinical matching quality, unit economics, lifecycle marketing measurement, uplift, experimentation design for messaging, budget allocation, payback, scenario planning","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":212000,"maxValue":265000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d99aac54-f09"},"title":"Sr. Analyst, PubSec Revenue Strategy & Operations","description":"<p>We are seeking an outstanding Sales Ops Professional to drive all sales strategy, planning, reporting, and analysis efforts for our US Public Sector Civilian and SLED Sales Areas. This role will provide the analysis needed to evolve our understanding of our pipeline dynamics and conversion rates. The successful candidate will work closely with Marketing, Finance, and Sales Strategy to provide targets and recommendations that help align cross-functional teams towards our company&#39;s growth objectives.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Provide strategic, operational, and tactical support to multiple sales leaders across the Public Sector Geo</li>\n<li>Own all monthly sales pipeline related KPIs (e.g. website visits, contacts, leads, opportunities, conversion rates, won/loss analysis, etc)</li>\n<li>Drive the pipeline budget and forecast, along with monthly actual to plan variance analysis to provide an understanding of the deltas and drivers</li>\n<li>Support territory carving and GTM resource planning to optimize our coverage model across top markets and our incentive comp strategy across all GTM roles</li>\n<li>Implement early warning systems to help proactively manage the growth of the business (i.e. customer churn, pipeline, conversions, pricing, etc.)</li>\n<li>Work cross-functionally with Area Vice Presidents, Finance, and our Marketing teams to help identify areas of concern (e.g. lack of pipeline to support growth) and both short-term and long-term initiatives to address them</li>\n<li>Drive critical initiatives including capacity planning, pipeline management and country-specific go-to-market plans. Work cross-functionally to develop growth plans for new geographies and market segments</li>\n<li>Support our overlay sales teams to continuously evolve our resourcing model</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>3-5+ years work experience in Sales, Sales Operations, Strategy, FP&amp;A, Management Consulting, or similar field in SaaS organizations with strong exposure to go-to-market strategy</li>\n<li>Proven ability to structure complex problems, develop solutions, and craft recommendations and results into easily digestible messages, communications, and executive presentations</li>\n<li>Experience forecasting bookings, rep attainment, and generally building complex and dynamic models for scenario planning</li>\n<li>Excellent communication and engagement skills</li>\n<li>Highly collaborative style and the ability to adjust on the fly to new demands with a sense of urgency</li>\n<li>Ability to thrive in a fast-paced start-up environment</li>\n<li>Experience with the Salesforce.com platform</li>\n<li>Power user proficiency with the MS Office suite (especially MS Excel and MS PowerPoint)</li>\n<li>Familiarity with reporting and business intelligence tools (especially Tableau)</li>\n</ul>\n<p>Bonus Points:</p>\n<ul>\n<li>Located in the Eastern (EST) or Central (CST) time zone</li>\n<li>Experience supporting Public Sector leaders and market</li>\n<li>Big 4 consulting experience</li>\n<li>Understanding of Channel or Resellers, MSP or FSI companies and how they operate in the space</li>\n</ul>\n<p>Compensation: The typical starting salary range for this role is $89,100-$140,900 USD. The typical starting salary range for this role in the select locations listed above is $106,800-$168,900 USD.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d99aac54-f09","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7798174","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$89,100-$140,900 USD","x-skills-required":["Sales strategy","Sales operations","Sales planning","Reporting","Analysis","Forecasting","Bookings","Rep attainment","Scenario planning","Salesforce.com","MS Office","Tableau"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:54:56.007Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Sales strategy, Sales operations, Sales planning, Reporting, Analysis, Forecasting, Bookings, Rep attainment, Scenario planning, Salesforce.com, MS Office, Tableau","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":89100,"maxValue":140900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_239d7fb1-d73"},"title":"Director of Pricing","description":"<p>As the Director of Pricing, you will help define how GitLab captures the value of the most comprehensive AI-powered DevSecOps platform. This role sits within Product Monetization and reports to the VP of Product, Platforms &amp; Monetization.</p>\n<p>You will own pricing strategy end to end during an important period for GitLab, as we evolve from traditional seat-based models toward AI and usage-based monetization across SaaS, self-managed, and single-tenant offerings. You will shape decisions that influence product packaging, commercial performance, and long-term growth, while partnering with senior leaders across the business.</p>\n<p>This is a high-impact opportunity to build clarity in a complex space, bring rigor to major monetization decisions, and leave a lasting mark on GitLab&#39;s commercial trajectory.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define and lead GitLab&#39;s pricing strategy, including the roadmap for packaging, edition architecture, and monetization across core and emerging offers.</li>\n</ul>\n<ul>\n<li>Guide the transition across seat-based, usage-based, and hybrid pricing models, with particular focus on AI-related monetization opportunities.</li>\n</ul>\n<ul>\n<li>Build and lead a high-performing global pricing organization, including setting the operating model, developing managers and individual contributors, and raising the quality bar for pricing work.</li>\n</ul>\n<ul>\n<li>Partner with leaders across product, engineering, finance, sales, marketing, and operations to evaluate trade-offs between growth, adoption, margin, and customer value.</li>\n</ul>\n<ul>\n<li>Own pricing models, scenario planning, forecasts, and business cases that connect pricing decisions to measurable outcomes such as average selling price, average revenue per user, and monetization performance.</li>\n</ul>\n<ul>\n<li>Lead pricing research and testing approaches, using methods such as customer interviews, conjoint analysis, Van Westendorp, and experiments to inform strategic recommendations.</li>\n</ul>\n<ul>\n<li>Present pricing proposals and recommendations clearly to senior leadership, including executive-level stakeholders, with well-supported analysis and clear decision paths.</li>\n</ul>\n<ul>\n<li>Ensure pricing changes are implemented smoothly by coordinating readiness across systems, processes, enablement, and customer communication to support successful launches and business adoption.</li>\n</ul>\n<p>What you&#39;ll bring:</p>\n<ul>\n<li>Significant experience in pricing, including leadership of multi-disciplinary teams and ownership of complex monetization decisions in a B2B software environment.</li>\n</ul>\n<ul>\n<li>Deep expertise in SaaS pricing models, including seat-based, usage-based, and hybrid approaches, with strong judgment on when each model fits.</li>\n</ul>\n<ul>\n<li>Demonstrated success shaping portfolio-level pricing across multiple products, offers, or deployment models.</li>\n</ul>\n<ul>\n<li>Strong analytical skills with the ability to build robust models, test assumptions, evaluate scenarios, and communicate implications with confidence.</li>\n</ul>\n<ul>\n<li>Fluency in pricing research methods, including conjoint analysis, Van Westendorp, customer interviews, and experimentation, and the ability to apply the right method to the right question.</li>\n</ul>\n<ul>\n<li>Experience working through ambiguity and creating structure, process, and momentum in areas that are still evolving.</li>\n</ul>\n<ul>\n<li>Proven ability to influence senior stakeholders and work effectively across a distributed, asynchronous organization.</li>\n</ul>\n<ul>\n<li>Familiarity with pricing for AI-related products or consumption-based offerings, as well as experience across SaaS, self-managed, or single-tenant environments, is a strong advantage.</li>\n</ul>\n<p>About the team:</p>\n<p>The Product Monetization team helps GitLab align product value, customer needs, and business outcomes through thoughtful packaging and pricing. 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We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.\\n\\nOur dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.\\n\\nAs we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding.\\n\\nJoin the team as Twilio’s next Sr. Analyst, Strategic Measurement.\\n\\nAbout the job\\n\\nWe are actively recruiting for this role to fill an existing vacancy. This position is needed to serve as the &quot;New Frontiers&quot; lead for the Marketing Strategy, Analytics &amp; Innovation team, focusing on ambiguous, highly strategic emerging channels, potential programs &amp; measurement optimization/instrumentation.\\n\\nYou will be responsible for defining, measuring, and accelerating our growth in new digital landscapes, specifically focusing on AI Engine Optimization (AEO), brand measurement and advanced attribution frameworks.\\n\\nPartnering closely with the global marketing analytics teams, Brand, Demand Gen, PR, Content, and Developer Network teams, you will execute against high-visibility objectives enabling marketing&#39;s business impact to executive leadership.\\n\\nIdeally, this position has a strong statistical background, a substantial capacity for hypothesis-driven thinking, and the ability to deliver &quot;unmistakable clarity&quot; in complex executive presentations.\\n\\nResponsibilities\\n\\nIn this role, you’ll:\\n\\nAnalyse LLM visibility and Share of Voice, create a continuous feedback loop across various teams to optimise Twilio&#39;s presence in AI search/AEO (answer engine optimisation), drive enablement and operational efforts to ensure consistent tool usage and storyline.\\n\\nSupport the strategy, data ingestion, and modelling required to build and maintain net new and existing brand measurement components. Drive a single, cohesive narrative combining disparate data sets.\\n\\nInspire experimentation adoption in teams. Build the frameworks and structure to drive experimentation rigor and clarity of incrementally of marketing initiatives.\\n\\nSupport Media Mix Modelling (MMM) and Multi-Touch Attribution (MTA) initiatives to understand the impact of various marketing channels on Sign Ups, SQLs, activations, and guide budget allocation.\\n\\nTranslate complex data sets into actionable insights and strategic recommendations for exec-level audiences.\\n\\nOwn enablement efforts for emerging channels, sharing accomplishments, KPIs, and cross-team collaborations broadly across the marketing organisation.\\n\\nQualifications\\n\\nTwilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply.\\n\\nIf your career is just starting or hasn’t followed a traditional path, don’t let that stop you from considering Twilio.\\n\\nWe are always looking for people who will bring something new to the table!\\n\\n* Required:\\n\\n5+ years of experience in statistical analysis, experimentation and/or scenario planning.\\n\\nA strong understanding of SEO and emerging AI Search (AEO/GEO) landscapes.\\n\\nA hypothesis-driven thinker who does not just report the “what,” but actively tests the “why”. Able to formulate testable guesses and distill the essential from complex marketing data.\\n\\nExperience with running or interpreting advanced measurement frameworks (Incrementality, MMM, MTA).\\n\\nHighly reliable and a self-starter.\\n\\nInterest or experience in applying AI-driven solutions to analytics workflows.\\n\\nStrong communication skills with the ability to communicate effectively with both technical and non-technical audiences\\n\\nDetail-oriented with a passion for clean, trustworthy data.\\n\\nStrong analytical skills.\\n\\nExcellent collaborator across cross-functional teams; skilled in managing stakeholder projects end-to-end.\\n\\nDesired:\\n\\nExperience supporting various stakeholder functions and their insights: Brand, PR, Social, Content, Demand Generation\\n\\nExperience with BI tools (Tableau, Looker Studio) and modelling (ROI, LTV:CAC, payback).\\n\\nInterest or exposure to fraud monitoring tools and processes.\\n\\nWorking knowledge of Customer Data Platforms (CDPs) and analytics data integrations.\\n\\nLocation\\n\\nThis role will be remote, and based in Alberta, British Columbia, or Ontario, Canada.\\n\\nTravel\\n\\nWe prioritise connection and opportunities to build relationships with our customers and each other.\\n\\nFor this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.\\n\\nWhat We Offer\\n\\nWorking at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings programme, and much more.\\n\\nOfferings vary by location.\\n\\nBased on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programmes, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off.\\n\\nThe estimated pay ranges for this role are as follows:\\n\\n$90,800 - $113,500 CAD\\n\\nTarget Bonus Percentage 12.50%\\n\\nThe successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.\\n\\nTwilio thinks big. Do you?\\n\\nWe like to solve problems, take initiative, pitch in when needed, and are always up for trying new things.\\n\\nThat&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic.\\n\\nAdditionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.\\n\\nSo, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!\\n\\nIf this role isn’t what you’re looking for, please consider other open positions.\\n\\nTwilio is proud to be an equal opportunity employer.\\n\\nWe do not discriminate based upon race, religion, colour, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.\\n\\nWe also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.\\n\\nQualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.\\n\\nAdditionally, Twilio participates in the E-Verify programme in certain locations, as required by law.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_32a63583-c9b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7736722","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$90,800 - $113,500 CAD","x-skills-required":["statistical analysis","experimentation","scenario planning","SEO","AI Search (AEO/GEO) landscapes","hypothesis-driven thinking","advanced measurement frameworks","Incrementality","Media Mix Modelling (MMM)","Multi-Touch Attribution (MTA)","communication skills","data analysis","clean, trustworthy data","analytical skills","collaboration","project management"],"x-skills-preferred":["BI tools (Tableau, Looker Studio)","modelling (ROI, LTV:CAC, payback)","fraud monitoring tools and processes","Customer Data Platforms (CDPs)","analytics data integrations"],"datePosted":"2026-04-18T15:41:42.004Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - Canada"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Technology","skills":"statistical analysis, experimentation, scenario planning, SEO, AI Search (AEO/GEO) landscapes, hypothesis-driven thinking, advanced measurement frameworks, Incrementality, Media Mix Modelling (MMM), Multi-Touch Attribution (MTA), communication skills, data analysis, clean, trustworthy data, analytical skills, collaboration, project management, BI tools (Tableau, Looker Studio), modelling (ROI, LTV:CAC, payback), fraud monitoring tools and processes, Customer Data Platforms (CDPs), analytics data integrations","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":90800,"maxValue":113500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2907e75d-d4e"},"title":"Research Engineer, Frontier Safety Risk Assessment","description":"<p>Job Title: Research Engineer, Frontier Safety Risk Assessment</p>\n<p>We are seeking 2 Research Engineers for the Frontier Safety Risk Assessment team within the AGI Safety and Alignment Team.</p>\n<p>As a Research Engineer, you will contribute novel research towards our ability to measure and assess risk from frontier models. This might include:</p>\n<ul>\n<li>Identifying new risk pathways within current areas (loss of control, ML R&amp;D, cyber, CBRN, harmful manipulation) or in new ones;</li>\n<li>Conceiving of, designing, and developing new ways to measure pre-mitigation and post-mitigation risk;</li>\n<li>Forecasting and scenario planning for future risks which are not yet material.</li>\n</ul>\n<p>Your work will involve complex conceptual thinking as well as engineering. You should be comfortable with research that is uncertain, under-constrained, and which does not have an achievable “right answer”. You should also be skilled at engineering, especially using Python, and able to rapidly familiarise yourself with internal and external codebases. Lastly, you should be able to adapt to pragmatic constraints around compute and researcher time that require us to prioritise effort based on the value of information.</p>\n<p>Although this job description is written for a Research Engineer, all members of this team are better thought of as members of technical staff. We expect everyone to contribute to the research as well as the engineering and to be strong in both areas.</p>\n<p>The role will mostly depend on your general ability to assess and manage future risks, rather than from specialist knowledge within the risk domains, but insofar as specialist knowledge is helpful, knowledge in ML R&amp;D and loss of control as risk domains are likely the most valuable.</p>\n<p>About You</p>\n<p>In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:</p>\n<ul>\n<li>You have extensive research experience with deep learning and/or foundation models (for example, but not necessarily, a PhD in machine learning).</li>\n<li>You are adept at generating ideas and designing experiments, and implementing these in Python with real AI systems.</li>\n<li>You are keen to address risks from foundation models, and have thought about how to do so. You plan for your research to impact production systems on a timescale between “immediately” and “a few years”.</li>\n<li>You are excited to work with strong contributors to make progress towards a shared ambitious goal.</li>\n<li>With strong, clear communication skills, you are confident engaging technical stakeholders to share research insights tailored to their background.</li>\n</ul>\n<p>In addition, any of the following would be an advantage:</p>\n<ul>\n<li>Experience in areas such as frontier risk assessment and/or mitigations, safety, and alignment.</li>\n<li>Engineering experience with LLM training and inference.</li>\n<li>PhD in Computer Science or Machine Learning related field.</li>\n<li>A track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI.</li>\n<li>Experience with collaborating or leading an applied research project.</li>\n</ul>\n<p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p>\n<p>At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer: enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options. We strive to continually improve our working environment, and provide you with excellent facilities such as healthy food, an on-site gym, faith rooms, terraces etc.</p>\n<p>We are also open to relocating candidates and offer a bespoke service and immigration support to make it as easy as possible (depending on eligibility).</p>\n<p>The US base salary range for this full-time position is between $136,000 - $245,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2907e75d-d4e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Google DeepMind","sameAs":"https://deepmind.com/","logo":"https://logos.yubhub.co/deepmind.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/deepmind/jobs/7493360","x-work-arrangement":"onsite","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$136,000 - $245,000 + bonus + equity + benefits","x-skills-required":["Python","Deep learning","Foundation models","Risk assessment","Mitigation","Forecasting","Scenario planning"],"x-skills-preferred":["LLM training and inference","PhD in Computer Science or Machine Learning related field","Track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI","Experience with collaborating or leading an applied research project"],"datePosted":"2026-03-16T14:38:25.658Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London, UK; New York City, New York, US; San Francisco, California, US"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Deep learning, Foundation models, Risk assessment, Mitigation, Forecasting, Scenario planning, LLM training and inference, PhD in Computer Science or Machine Learning related field, Track record of publications at venues such as NeurIPS, ICLR, ICML, RL/DL, EMNLP, AAAI and UAI, Experience with collaborating or leading an applied research project","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":136000,"maxValue":245000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_71c2722d-7dd"},"title":"Strategic Finance, COGS & Supply Chain Finance","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Strategic Finance</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $325K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals together under one organization to accomplish this.</p>\n<p>We&#39;re building the most advanced AI models and platforms, making it easy for developers and customers to benefit from AI via our suite of products.</p>\n<p>OpenAI is expanding into consumer hardware to explore new human-computer interaction experiences. Success in hardware requires world-class financial stewardship across the entire product cost stack, from early design and sourcing decisions to scaled manufacturing and lifecycle cost optimization.</p>\n<p><strong>About the Team</strong></p>\n<p>The Strategic Finance team provides financial insights and guidance to support the organization&#39;s long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes.</p>\n<p><strong>About the Role</strong></p>\n<p>We are hiring a senior Hardware Finance Leader to own financial modeling for product cost, inventory, and manufacturing economics for OpenAI’s consumer hardware portfolio. This role is responsible for ensuring that hardware decisions—spanning capacity planning, manufacturing ramps, and inventory builds—are grounded in rigorous, decision-quality financial analysis before capital and material commitments are locked in.</p>\n<p>This role sits at the center of Supply Chain, Operations, Manufacturing, Procurement, Product, Accounting, and Tax, and serves as the embedded finance partner for hardware cost, inventory, and capital-commitment decisions. You will build the financial foundation that enables leadership to understand margins, inventory exposure, and downside risk as hardware programs move from NPI through launch and scale.</p>\n<p>We have a strong preference for candidates who can be based in our San Francisco HQ. 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