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We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”</p>\n<p>We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.</p>\n<p>If your goals and values align with Honda’s, we want you to join our team to Bring the Future!</p>\n<p><strong>JOB PURPOSE:</strong></p>\n<p>Lead in development of problem solving, continuous improvement and associate mentoring/development, in alignment with efficient production, new model introduction, business plan implementation and innovation to achieve or exceed targets that promote associate success.</p>\n<p><strong>KEY ACCOUNTABILITIES:</strong></p>\n<p>Recommend strategic investments in technology, tools, and processes to support future product lines and production capacity</p>\n<p>Continuous development of self, colleagues and team through training and mentoring to proactively improve areas of management expertise for personal and team growth</p>\n<p>Identify risks, remove barriers, and maintain alignment across engineering, operations, supply chain, and production teams</p>\n<p>Evaluate and assess concerns identified by team to help or guide them to address or correct and resolve issues utilizing PDCA</p>\n<p>Define and maintain a multiyear engineering roadmap aligned with business goals and manufacturing requirements</p>\n<p>Manage projects for business plan and new model from concept through launch, ensuring on-time and on-budget delivery</p>\n<p>Manage required organizational resources (manpower, structure, budget) necessary to achieve operational expectations</p>\n<p>Collaborate in the development of Business Plan Strategy and new technologies or model introductions to improve production characteristics and ensure voice of the floor is heard</p>\n<p>Ensure engineering work complies with manufacturing standards, regulatory requirements, and internal quality systems</p>\n<p><strong>QUALIFICATIONS, EXPERIENCE, &amp; 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Following our 2025 IPO and accelerated growth trajectory, we are in search of a world-class RevOps leader who can build enterprise-grade operational rigor while maintaining the Startup mindset, agility, and innovation that defines CoreWeave.</p>\n<p>The ideal candidate will transform revenue operations from a supporting function into a strategic growth driver, creating the data foundation, process excellence, and operational insights that enable our sales, marketing, customer success, support, field engineering, and partner teams to execute at peak performance. 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You will define CoreWeave&#39;s revenue operations strategy, build and lead a global team of revenue operations professionals, establish our RevOps technology stack and data architecture, create scalable processes that drive efficiency while maintaining growth, and deliver the analytics and insights that inform executive decision-making. You will be the operational partner to our Chief Revenue Officer and go-to-market leadership, ensuring we have the infrastructure, insights, and execution to achieve our ambitious revenue targets while maintaining the flexibility to adapt as markets and opportunities evolve.</p>\n<p>Strategy &amp; Vision Define and execute CoreWeave&#39;s global revenue operations strategy, establishing world-class operational rigor, process excellence, and data infrastructure that enables predictable, scalable revenue growth. Build comprehensive revenue operations capabilities spanning sales operations, sales strategy, sales enablement, revenue analytics, sales compensation, territory management, and forecasting,creating an integrated operational framework that drives efficiency and effectiveness across the entire revenue organization. Design and implement CoreWeave&#39;s revenue technology stack, selecting, integrating, and optimizing CRM, sales engagement, revenue intelligence, forecasting, compensation, and analytics platforms that create a single source of truth for revenue data and enable seamless execution. Leverage AI to fundamentally build a next-gen RevOps center of excellence. Lead ongoing integrations of acquisitions made by the company. Establish data-driven forecasting methodologies and revenue analytics frameworks that provide executive leadership with accurate, real-time visibility into pipeline health, revenue performance, and growth trajectories across segments, products, and geographies. Partner with CRO and go-to-market leadership to develop strategic territory plans, quota allocation models, capacity planning frameworks, and resource deployment strategies that optimize coverage, maximize revenue potential, and drive efficient growth. Design and implement sales compensation programs that align with corporate objectives, drive desired behaviors, and attract and retain top sales talent, including variable compensation structures, accelerators, SPIFs, and performance-based incentives. Establish robust revenue governance frameworks, including deal desk operations, pricing and discount approval workflows, contract review processes, SOX compliance, and commercial risk management that balance growth velocity with operational discipline. Create sophisticated revenue analytics and business intelligence capabilities, delivering executive dashboards, pipeline analytics, win/loss analysis, sales productivity metrics, and strategic insights that inform decision-making and drive continuous improvement. Drive operational excellence through continuous process optimization, automation of manual workflows, elimination of friction in revenue processes, and implementation of best practices that enable the sales organization to focus on selling. Recruit, develop, and lead a world-class global revenue operations organization, including sales operations, sales strategy, enablement, compensation, and analytics teams, building a high-performance culture of operational excellence and strategic partnership with the go-to-market organization. Serve as the strategic thought partner to the CRO and executive leadership team, providing data-driven insights, scenario modeling, and operational recommendations that inform strategic decisions on market expansion, product prioritization, and go-to-market investments.</p>\n<p>Who You Are: Minimum 15+ years of progressive experience in revenue operations, sales operations, or sales leadership roles, with at least 8 years in senior revenue operations leadership positions. Proven track record building and scaling revenue operations functions in high-growth B2B technology companies, ideally with experience supporting organizations generating $500M+ in annual revenue. Demonstrated success implementing and optimizing enterprise CRM platforms (Salesforce expertise required), revenue intelligence tools, sales engagement platforms, and revenue analytics solutions at scale. Deep expertise in sales forecasting methodologies, pipeline management frameworks, revenue recognition principles, and financial planning processes that drive accurate revenue predictability. Extensive experience designing sales compensation plans, quota methodologies, territory models, and capacity planning frameworks for complex sales organizations with multiple segments and product lines. Strong background in data analytics, business intelligence, and revenue reporting, with ability to translate complex data into actionable insights and executive-ready presentations. Track record of building and leading high-performing global revenue operations teams, including experience managing teams across multiple geographies and time zones. Experience supporting enterprise sales.</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_ea9b15a2-11d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4649970006","x-work-arrangement":"onsite","x-experience-level":"executive","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Revenue Operations","Sales Operations","CRM Architecture","Sales Automation","Forecasting Methodologies","Territory Optimization","Compensation Design","Revenue Analytics","Data-Driven Forecasting","Revenue Governance","Deal Desk Operations","Pricing and Discount Approval Workflows","Contract Review Processes","SOX Compliance","Commercial Risk Management","Revenue Analytics and Business Intelligence","Executive Dashboards","Pipeline Analytics","Win/Loss Analysis","Sales Productivity Metrics","Strategic Insights","Operational Excellence","Process Optimization","Automation of Manual Workflows","Friction Elimination","Best Practices","Sales Enablement","Compensation","Analytics","Scenario Modeling","Operational Recommendations","Market Expansion","Product Prioritization","Go-to-Market Investments"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:45.065Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Revenue Operations, Sales Operations, CRM Architecture, Sales Automation, Forecasting Methodologies, Territory Optimization, Compensation Design, Revenue Analytics, Data-Driven Forecasting, Revenue Governance, Deal Desk Operations, Pricing and Discount Approval Workflows, Contract Review Processes, SOX Compliance, Commercial Risk Management, Revenue Analytics and Business Intelligence, Executive Dashboards, Pipeline Analytics, Win/Loss Analysis, Sales Productivity Metrics, Strategic Insights, Operational Excellence, Process Optimization, Automation of Manual Workflows, Friction Elimination, Best Practices, Sales Enablement, Compensation, Analytics, Scenario Modeling, Operational Recommendations, Market Expansion, Product Prioritization, Go-to-Market Investments"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_67c3460e-30f"},"title":"Engineering Manager II, Machine Learning – User Understanding","description":"<p>We&#39;re seeking an Engineering Manager to lead our User Understanding team. This team builds and maintains the data and backend systems that drive user modeling, personalization and recommendations,impacting hundreds of millions of users every day.</p>\n<p>As an Engineering Manager, you will set technical vision, empower a talented group of engineers, and collaborate closely with Machine Learning, Product, and Data Science to unlock better user experiences.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Leading and mentoring a team of experienced machine learning engineers in developing advanced user understanding models and systems</li>\n<li>Collaborating cross-functionally with partners in Product, Data Science, and Engineering to define strategy, set priorities, and effectively integrate user insights into core systems and product features</li>\n<li>Driving experimentation and adoption of new user understanding models with product teams across Pinterest, ensuring measurable end-to-end impact on key metrics</li>\n<li>Managing project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals</li>\n<li>Providing thought leadership in user modeling and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field</li>\n<li>Fostering a collaborative, inclusive, and high-performing team culture</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>6+ years of industry experience in applied machine learning or closely related roles, with experience developing large-scale machine learning for recommendation or ads systems</li>\n<li>2+ years of people management experience leading engineering teams</li>\n<li>Demonstrated ML expertise with a proven track record of impactful solutions and a deep understanding of large scale distributed systems</li>\n<li>Strong technical leadership, including a passion for driving technical direction, system architecture, and designing robust, scalable ML solutions</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</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_67c3460e-30f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7494658","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,308-$389,753 USD","x-skills-required":["Machine Learning","User Modeling","Recommendation Systems","Distributed Systems","Technical Leadership","System Architecture","Robust and Scalable Solutions"],"x-skills-preferred":["Cursor","Copilot","Codex","LLM-powered Productivity Tools"],"datePosted":"2026-04-18T15:49:41.794Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, User Modeling, Recommendation Systems, Distributed Systems, Technical Leadership, System Architecture, Robust and Scalable Solutions, Cursor, Copilot, Codex, LLM-powered Productivity Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189308,"maxValue":389753,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b596c5ae-0e1"},"title":"Manager II, Machine Learning-Search","description":"<p>About Pinterest</p>\n<p>At Pinterest, we&#39;re on a mission to bring everyone the inspiration to create a life they love. We&#39;re looking for a technical leader and engineering manager to help lead the search backend team.</p>\n<p>The search backend team is responsible for major areas of the search engine, including indexing and document ranking, query and content understanding, personalization, ML based retrieval, shopping, videos, as well as infrastructure efficiency and scalability. The team also works on innovative applications of NLP and Vision Models, and other techniques to drive query recommendations, multimodal search, agentic search, multimodal query understanding, and query based module generation and ranking.</p>\n<p>Responsibilities</p>\n<ul>\n<li>Lead the search backend team to develop and maintain a scalable and efficient search engine</li>\n<li>Collaborate with other engineering teams to bring superior search experience to users</li>\n<li>Drive the vision for the team and provide visibility for senior leadership into the team&#39;s global impact</li>\n<li>Partner with stakeholders to expand impact across the company</li>\n<li>Mentor and grow managers, leaders and engineers on the team</li>\n</ul>\n<p>Requirements</p>\n<ul>\n<li>Experience leading and working on a large-scale production search, recommendation or ads systems</li>\n<li>Applied machine learning experience is strongly preferred</li>\n<li>Ability to drive the roadmap and directions of scalable production quality systems end-to-end</li>\n<li>A knack for product and impact on users of a consumer product</li>\n<li>3+ years of experience in leading/managing a highly impactful ML-based engineering team of 5+ size; 7+ years of software development experience</li>\n<li>Bachelors degree in computer science or related technical field, or equivalent experience</li>\n<li>Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring</li>\n<li>Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration</li>\n</ul>\n<p>In-Office Requirement Statement</p>\n<p>We let the type of work you do guide the collaboration style. That means we&#39;re not always working in an office, but we continue to gather for key moments of collaboration and connection.</p>\n<p>Relocation Statement</p>\n<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</p>\n<p>#LI-REMOTE #LI-DM57</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_b596c5ae-0e1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Pinterest","sameAs":"https://www.pinterest.com/","logo":"https://logos.yubhub.co/pinterest.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/pinterest/jobs/7239260","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$189,308-$389,753 USD","x-skills-required":["Machine Learning","Big Data Technology","Natural Language Processing","Computer Vision","Recommendation Systems","AI Coding Assistants","LLM-Powered Productivity Tools"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:49:21.820Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, US; Remote, US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Machine Learning, Big Data Technology, Natural Language Processing, Computer Vision, Recommendation Systems, AI Coding Assistants, LLM-Powered Productivity Tools","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":189308,"maxValue":389753,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2c0fc802-cf3"},"title":"Staff Product Manager, AI Platform","description":"<p>At Databricks, we are building the world&#39;s best data and AI infrastructure platform. As a Staff Product Manager on the AI Platform team, you will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks.</p>\n<p>You will own the product roadmap for AI platform areas, defining what we build, why, and in what order, to accelerate customer adoption of AI and ML in production. You will drive strategy for key AI platform capabilities, shaping how enterprises operationalize AI at scale.</p>\n<p>You will partner closely with engineering teams to make deeply technical decisions about ML infrastructure, from distributed training architectures to real-time serving systems. You will represent the voice of the customer by engaging directly with enterprise ML teams, translating their pain points and workflows into platform capabilities that simplify the path to production AI.</p>\n<p>You will collaborate with GTM, Solutions Architecture, and Customer Success teams to drive enterprise adoption, shape field enablement, and inform competitive positioning. You will define pricing, packaging, and commercialization strategy for AI platform features, working with business teams to maximize value capture.</p>\n<p>You will grow end-user engagement with Databricks AI tools by identifying adoption bottlenecks and partnering cross-functionally to remove them.</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_2c0fc802-cf3","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://databricks.com","logo":"https://logos.yubhub.co/databricks.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/databricks/jobs/8420609002","x-work-arrangement":"remote","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$181,700-$249,800 USD","x-skills-required":["Deep technical background in computer science, electrical engineering, or equivalent degree","Experience with ML/AI infrastructure, data platforms, or cloud services","Proven enterprise B2B product management experience with highly technical customers","Ability to engage credibly with world-class ML engineers","Familiarity with recommendation systems"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:48:11.374Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, California"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Deep technical background in computer science, electrical engineering, or equivalent degree, Experience with ML/AI infrastructure, data platforms, or cloud services, Proven enterprise B2B product management experience with highly technical customers, Ability to engage credibly with world-class ML engineers, Familiarity with recommendation systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":181700,"maxValue":249800,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d503ecf3-725"},"title":"Field FP&A Manager","description":"<p>Reddit is looking for a strategic FP&amp;A Manager to help chart our future and support our mission of bringing community and belonging to everyone in the world. In this role, you will be a guiding force for our senior executive team, providing the financial visibility and nuanced insights that shape high-level decision-making and company direction.</p>\n<p>By joining a team dedicated to building the future of Finance at Reddit, you will gain a deep understanding of our business drivers while making a tangible impact on how a mission-driven organisation operates.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Budgeting, forecasting, reporting, variance analysis, and ad-hoc analysis for various areas in the company</li>\n<li>Developing flexible financial models and workforce forecasts to analyse headcount growth, incremental hiring needs, and talent acquisition capacity against peer benchmarks and long-term business goals</li>\n<li>Providing management with clear insights into drivers of business growth, risks, and opportunities</li>\n<li>Playing a key role in providing valuable insights that can translate into business recommendations</li>\n</ul>\n<p>As a key partner to the business, you will develop strategies, build insightful forecasting and reporting, and drive impactful insights for key leaders. 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As an Enterprise Customer Success Manager, you will serve as a financial technology advisor to Brex&#39;s largest customers by partnering with CFOs, Controllers, and finance ops teams to ensure they unlock the full value of Brex&#39;s solutions.</p>\n<p>You will create and execute on account strategies tailored to each customer&#39;s business goals, delivering high-impact outcomes across their financial stack. 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The AI Platform team builds the infrastructure that powers machine learning and AI at scale on Databricks. Our products span the full ML lifecycle , from feature engineering and model training to model serving and monitoring , enabling data and AI teams to build, deploy, and operate production ML systems with confidence.</p>\n<p>You will join a team that ships products used by thousands of the world&#39;s most sophisticated data and AI organizations. You will drive the vision and roadmap for AI platform product areas and define how customers build, train, deploy, and monitor AI and ML systems on Databricks. 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The ideal candidate collaborates with several cross-functional teams at Twilio such as UX, CRO, Web Strategy, Web Dev, Demand Gen, SEO, Content+ more to deliver scalable and easy-to-use web analytics solutions and insights.</p>\n<p>As a subject matter expert in this space, you will grow your presence company-wide and eventually own relationships cross-functionally.</p>\n<p>We are looking for someone with proven experience in GA4 implementation, business/marketing analytics reporting, analysis and stakeholder communications.</p>\n<p>Responsibilities:</p>\n<p>Work closely with the Web team to deliver desired web analytics tracking for business stakeholders Own and maintain a holistic GA/web analytics strategy, implementation, troubleshooting, documentation + enablement Brainstorm with technical and non-technical stakeholders on creative ways to meet data requirements, while balancing site performance, holistic tagging strategies, and expanded data capabilities Drive continual web analytics capability improvements, and maintain high standards for data integrity Own and share recurring monthly and adhoc analysis, deep dives, storytelling to uncover the &#39;so what&#39; - providing actionable insights and recommendations across site, page, channel and A/B testing performance Strategize and build scalable solutions that support company-wide enablement and the utilization of web analytics for data-driven decision-making Partner with our CDP SMEs to orchestrate a unified data strategy, maximizing the integration between our CDP and Google Analytics to drive a 360-degree view of the customer journey</p>\n<p>Qualifications:</p>\n<ul>\n<li>5 years of experience in web analytics</li>\n<li>Expertise in Google Analytics 4, both implementation and analysis.</li>\n<li>Strong knowledge of JavaScript, HTML, and browser dev tools.</li>\n<li>Hands-on experience with Google Tag Manager (GTM)</li>\n<li>Familiarity with A/B and multivariate testing frameworks, as well as web personalization</li>\n<li>Strong communication skills with the ability to communicate effectively with both technical and non-technical audiences</li>\n<li>Detail-oriented with a passion for clean, trustworthy data.</li>\n<li>Strong analytical skills with a track record of independently exploring data, delivering insights, storytelling, and actionable recommendations.</li>\n<li>Excellent collaborator across cross functional teams; skilled in managing stakeholder projects</li>\n<li>Highly reliable and accountable.</li>\n<li>A self-starter.</li>\n<li>Interest or experience in applying AI-driven solutions to analytics workflows.</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Familiarity with Big Query, Adobe AEM, Adobe Target</li>\n<li>Interest or exposure to fraud monitoring tools and processes.</li>\n<li>Experience with Looker Studio, Tableau, or other BI tools.</li>\n<li>Working knowledge of Customer Data Platforms (CDPs) and analytics data integrations.</li>\n<li>A deeper understanding of:</li>\n</ul>\n<p>First party and third party cookies Cross domain tracking (including the limitations of web protocols and UTM strategies) Tagging and tracking strategies (e.g., when to use Segment → GA4 vs. GTM → GA4 for optimal efficiency) Ad pixel setup and utms deployment strategies</p>\n<p>Travel:</p>\n<p>We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 15% travel is anticipated to help you connect in-person in a meaningful way.</p>\n<p>What We Offer:</p>\n<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.</p>\n<p>Compensation:</p>\n<p>*Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows:</p>\n<p>Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $106,320 - $132,900. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $112,560 - $140,700. Based in the San Francisco Bay area, California: $125,040 - $156,300.</p>\n<p>This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Application deadline information:</p>\n<p>Applications for this role are intended to be accepted until April 30, 2026, but may change based on business needs.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn&#39;t what you&#39;re looking for, please consider other open positions.</p>\n<p>Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified 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. 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As an Enterprise Customer Success Manager, you will serve as a financial technology advisor to Brex&#39;s largest customers by partnering with CFOs, Controllers, and finance ops teams to ensure they unlock the full value of Brex&#39;s solutions.</p>\n<p>You&#39;ll create and execute on account strategies tailored to each customer&#39;s business goals, delivering high-impact outcomes across their financial stack. 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By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly.</p>\n<p>Tens of thousands of the world&#39;s best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.</p>\n<p>Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream.</p>\n<p>We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</p>\n<p>Sales at Brex</p>\n<p>Sales is the growth engine at Brex. We bring in new customers, expand existing relationships, and drive the company’s bottom line. With unlimited territories and uncapped opportunity, your ambition sets the ceiling. We win together, celebrate often, and reward performance.</p>\n<p>If you want to sell a category-defining product with real ownership, this is your team.</p>\n<p>What you’ll do</p>\n<p>As an Enterprise Customer Success Manager, you will serve as a financial technology advisor to Brex’s largest customers by partnering with CFOs, Controllers, and finance ops teams to ensure they unlock the full value of Brex’s solutions.</p>\n<p>You’ll create and execute on account strategies tailored to each customer’s business goals, delivering high-impact outcomes across their financial stack.</p>\n<p>You will own the full lifecycle of success, from onboarding to renewal by leveraging product usage insights, stakeholder engagement, and cross-functional collaboration to drive product adoption, minimize churn, and grow account value.</p>\n<p>Where you’ll work</p>\n<p>This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. 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Responsibilities include service design, estimating, and coordinating construction for multiple overhead and underground residential, new business, industrial and other construction projects as needed.</p>\n<p>The candidate must provide superior customer service and be able to prepare and schedule construction of jobs to meet committed service dates. Other duties will include handling customer inquiries (voltage complaints, claims, etc.) and assisting with Distribution compliance and asset management programs.</p>\n<p>The candidate will also participate in the on-call rotation and must be available after business hours for local, out-of-town, and out-of-state trouble and storm restoration.</p>\n<p>Primary responsibilities include but are not limited to:</p>\n<ul>\n<li>Provides engineering/technical expertise and guidance in the identification, analysis, and resolution of problems in the Distribution design area.</li>\n<li>Ensures accomplishment of business goals and objectives through effective planning, organizing, estimating, scheduling and monitoring of work activities.</li>\n<li>Prepares thorough and accurate cost estimates, correspondence, documentation, calculations, and sketches.</li>\n<li>Conducts engineering and related studies.</li>\n<li>Strives to continually improve job-related, engineering, technical and professional knowledge, skills and performance.</li>\n<li>Develops positive working relationships to effectively coordinate work activities.</li>\n<li>Demonstrates effective oral and written communication skills.</li>\n<li>Maintains accurate records and files.</li>\n<li>Supports the company&#39;s goals and represents the company positively and professionally.</li>\n<li>Process switching requests submitted to Distribution Control Center.</li>\n<li>Must be available after hours as required to provide leadership and assist in emergency restoration.</li>\n</ul>\n<p>REQUIRED QUALIFICATIONS</p>\n<ul>\n<li>Bachelor of Science in the following Engineering disciplines from an ABET accredited program: Electrical, Mechanical, Civil, Industrial or Chemical.</li>\n<li>Understanding of basic engineering theories and principles.</li>\n<li>Understanding of basic practices of researching engineering and design issues, evaluating alternatives, making sound recommendations and preparing and presenting recommendations.</li>\n</ul>\n<p>DESIRED QUALIFICATIONS</p>\n<ul>\n<li>Bachelor of Science in Electrical Engineering</li>\n<li>Demonstrated good understanding of electric utility and facility design standards, specifications and requirements for electrical projects, and the ability to produce construction documents.</li>\n<li>Demonstrated understanding of construction management skills and practices.</li>\n<li>Demonstrated effective negotiating skills.</li>\n<li>Demonstrated ability to quickly grasp new techniques, deal with rapid changes in priorities, and remain calm and effective in stressful situations.</li>\n<li>Demonstrated ability to meet required deadlines while simultaneously completing other tasks.</li>\n<li>Demonstrated ability to establish and maintain effective working relationships with peers, partners, customers, and the public by adapting to various personality styles in a professional manner.</li>\n<li>Experience and demonstrated written and oral communications skills, including the ability to present information, facilitate meetings, and provide direction to others.</li>\n<li>Ability to deal with a variety of individuals from various socio-economic, cultural, and ethnic backgrounds.</li>\n<li>Understanding of basic principles of project management</li>\n</ul>\n<p>Knowledge, Skills, and Abilities:</p>\n<ul>\n<li>Strong communication and interpersonal skills.</li>\n<li>Strong technical writing skills preferred.</li>\n<li>Strong project management and organizational skills</li>\n<li>Ability to maintain attention to details in written and spoken communication is required.</li>\n<li>Ability to utilize excellent interpersonal skills to build and maintain strong, positive relationships with employees and customers.</li>\n<li>Ability to work in a team environment</li>\n<li>Ability to prioritize work activities and manage time effectively</li>\n</ul>\n<p>Behavioral Attributes:</p>\n<ul>\n<li>Must exhibit integrity and ethical behavior.</li>\n<li>Demonstrates behaviors consistent with the Company’s values of Unquestionable Trust, Superior Performance, and Total Commitment.</li>\n<li>Demonstrate initiative, personal ownership and accountability.</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_bdb2e46d-81e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Mississippi Power Division","sameAs":"https://www.mississippipower.com/","logo":"https://logos.yubhub.co/mississippipower.com.png"},"x-apply-url":"https://emje.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/SouthernCompanyJobs/job/17941","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Bachelor of Science in Electrical, Mechanical, Civil, Industrial or Chemical Engineering","Understanding of basic engineering theories and principles","Understanding of 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This role sits at the intersection of customer behavior, digital experience, and revenue performance, transforming data into actionable insights that drive growth across our websites.</p>\n<p>You will analyze full-funnel customer journeys across web, marketing, and CRM touchpoints, leveraging modern analytics platforms, cloud data warehouses, and A/B testing. The ideal candidate thrives in close collaboration with marketing, webstore, product, and engineering teams.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Leverage CDP and first-party data to build customer segments, cohorts, and lifecycle views, partnering with marketing and CRM teams to support audience activation, personalization, and campaign optimization.</li>\n<li>Conduct in-depth analysis of website traffic, user behavior, and eCommerce performance to identify trends, opportunities, and risks across the full customer funnel.</li>\n<li>Ideate, support, and analyze A/B and multivariate experiments, defining success metrics, interpreting results with statistical rigor, and recommending next steps based on business impact.</li>\n<li>Collaborate with cross-functional teams (marketing, webstore, product, and engineering) to develop and execute data-driven strategies for web and eCommerce initiatives.</li>\n<li>Define and document event tracking and measurement requirements aligned with business objectives, ensuring accurate and scalable data collection.</li>\n<li>Monitor and report on the effectiveness of promotional activities, marketing initiatives, and website performance, translating results into actionable insights.</li>\n<li>Build and maintain automated dashboards and self-service reporting, communicating insights through clear narratives, visualizations, and executive-ready summaries that proactively surface opportunities and risks.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>3+ years of experience in Commerce, web, or digital analytics</li>\n<li>Bachelor’s degree in Data Science, Statistics, Economics, Business Information Systems, or a related field.</li>\n<li>Proven experience analyzing consumer-facing digital products or eCommerce platforms.</li>\n<li>Strong understanding of eCommerce KPIs, digital marketing metrics, and customer lifecycle measurement.</li>\n<li>Must have hands-on experience with SQL, cloud data warehouse (e.g Snowflake), GA4, CDP (such as mParticle).</li>\n<li>Experience working with large, complex, and multi-source datasets.</li>\n<li>Excellent data visualization skills (Looker Studio, PowerBi) and ability to communicate complex insights effectively.</li>\n<li>Strong attention to detail and ability to manage multiple projects simultaneously.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with AI-assisted analytics, forecasting, or anomaly detection.</li>\n<li>Knowledge of product analytics, personalization, or recommendation systems.</li>\n<li>Exposure to server-side tracking, event schemas, and data contracts.</li>\n<li>Experience working in global or multi-region eCommerce environments.</li>\n<li>AI-ecommerce experience</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_f160b80e-77d","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Corsair","sameAs":"https://www.corsair.com/","logo":"https://logos.yubhub.co/corsair.com.png"},"x-apply-url":"https://edix.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/8662","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$75,000—$110,000 USD","x-skills-required":["SQL","cloud data warehouse","GA4","CDP","data visualization","data analysis","A/B testing","multivariate experiments"],"x-skills-preferred":["AI-assisted analytics","forecasting","anomaly detection","product analytics","personalization","recommendation systems","server-side tracking","event schemas","data contracts"],"datePosted":"2026-03-10T13:05:43.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, cloud data warehouse, GA4, CDP, data visualization, data analysis, A/B testing, multivariate experiments, AI-assisted analytics, forecasting, anomaly detection, product analytics, personalization, recommendation systems, server-side tracking, event schemas, data contracts","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":110000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7307b61b-e87"},"title":"Senior Financial Analyst","description":"<p>We are seeking an experienced Senior Financial Analyst to join our Global Real Estate and Facilities (GREF) Financial Planning &amp; Analysis (FP&amp;A) team.</p>\n<p>This role will be responsible for leading and optimising the financial planning and analysis processes for GREF, ensuring accurate cost distribution, driving financial transparency across the organisation. This role will also support execution of global initiatives and improvements across the greater GREF landscape.</p>\n<p>Key job responsibilities include:</p>\n<p>Financial Planning, Analysis, and Process Optimisation:</p>\n<ul>\n<li><p>Develop, implement, and continuously improve end-to-end financial planning and analysis processes, methodologies, and frameworks for GREF</p>\n</li>\n<li><p>Lead the design and execution of financial models that support accurate financial reporting and decision-making</p>\n</li>\n<li><p>Collaborate with senior leadership to align financial strategies with business objectives and growth plans</p>\n</li>\n<li><p>Own system integrations and data flow related to FP&amp;A processes</p>\n</li>\n<li><p>Stay current with industry best practices and integrate innovative approaches into GREF&#39;s financial planning and analysis methodologies</p>\n</li>\n</ul>\n<p>Financial Analysis and Reporting:</p>\n<ul>\n<li><p>Oversee the production of high-quality financial reports and analyses related to GREF operations</p>\n</li>\n<li><p>Develop and maintain key performance indicators (KPIs) to measure the effectiveness of financial processes</p>\n</li>\n<li><p>Provide insights and recommendations based on financial data to support strategic decision-making</p>\n</li>\n<li><p>Lead monthly reviews of financial and operating metrics, analyse variances to forecast, and communicate key drivers to senior management</p>\n</li>\n</ul>\n<p>Chart of Accounts Management and Systems Ownership:</p>\n<ul>\n<li><p>Serve as the subject matter expert for IBM Cognos/TM1, FRAMES, and Spectra</p>\n</li>\n<li><p>Lead system enhancements, upgrades, and integrations for these platforms to support GREF&#39;s financial processes</p>\n</li>\n<li><p>Provide training and support to team members and stakeholders on the use of these systems for financial planning and reporting purposes</p>\n</li>\n</ul>\n<p>Basic Qualifications:</p>\n<ul>\n<li><p>7+ years of multiple finance and accounting roles experience</p>\n</li>\n<li><p>7+ years of Accounts Payable (AP) experience</p>\n</li>\n<li><p>7+ years of applying key financial performance indicators (KPIs) to analyses experience</p>\n</li>\n<li><p>7+ years of building financial and operational reports/data sets that inform business decision-making experience</p>\n</li>\n<li><p>7+ years of creating process improvements with automation and analysis experience</p>\n</li>\n<li><p>Bachelor&#39;s degree in engineering, statistics or business, or Bachelor&#39;s degree and 7+ years of quantitative role (engineering, process re-engineering, quality assurance) experience</p>\n</li>\n</ul>\n<p>Preferred Qualifications:</p>\n<ul>\n<li><p>6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience</p>\n</li>\n<li><p>6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience</p>\n</li>\n<li><p>MBA, or CPA</p>\n</li>\n<li><p>Knowledge of SQL/ETL</p>\n</li>\n<li><p>Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)</p>\n</li>\n<li><p>Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results</p>\n</li>\n</ul>\n<p>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href=\"https://amazon.jobs/content/en/how-we-hire/accommodations\">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.</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_7307b61b-e87","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://amazon.jobs","logo":"https://logos.yubhub.co/amazon.jobs.png"},"x-apply-url":"https://amazon.jobs/en/jobs/3144544/senior-finance-analyst-gref-fp-a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["financial planning","analysis","process optimisation","IBM Cognos/TM1","FRAMES","Spectra","SQL/ETL","data mining","reporting tools","financial systems"],"x-skills-preferred":["identifying incomplete or inaccurate data","creating/implementing an escalation plan","solving complex business challenges","delivering accurate and timely financial models","analysis","recommendations"],"datePosted":"2026-03-10T12:11:09.323Z","employmentType":"FULL_TIME","occupationalCategory":"Finance","industry":"Technology","skills":"financial planning, analysis, process optimisation, IBM Cognos/TM1, FRAMES, Spectra, SQL/ETL, data mining, reporting tools, financial systems, identifying incomplete or inaccurate data, creating/implementing an escalation plan, solving complex business challenges, delivering accurate and timely financial models, analysis, recommendations"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3e70468c-037"},"title":"FBS Operations Analyst III","description":"<p>You will be working in the CAS (Customer Agent Solutions) Digital Service Operations team, which manages the E2E digital service operations for all digital channels. The team collaborates with multiple cross-functional teams and bridges the gap between strategic goals and daily execution by day-to-day management of performance monitoring, defect management, optimization testing, infra and capabilities functions to ensure operations delivers on its daily/weekly/monthly handling objectives.</p>\n<p>This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.</p>\n<p>As a Digital Product Operations Manager, you will:</p>\n<ul>\n<li>Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.</li>\n<li>Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.</li>\n<li>Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.</li>\n<li>Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.</li>\n<li>Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.</li>\n<li>Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.</li>\n<li>Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.</li>\n<li>Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.</li>\n<li>Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.</li>\n<li>Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.</li>\n<li>Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.</li>\n<li>Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.</li>\n</ul>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.</li>\n<li>Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.</li>\n<li>Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.</li>\n<li>Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.</li>\n<li>Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.</li>\n<li>Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.</li>\n</ul>\n<p>Experience &amp; Education Requirements:</p>\n<ul>\n<li>Overall experience &gt; 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.</li>\n<li>Advanced project and process management experience. Agile preferred.</li>\n<li>Bachelor&#39;s degree preferred in Technology, Mathematics, Statistics, Business, or related field.</li>\n<li>Master’s degree preferred in Management, Analytics, Artificial Intelligence.</li>\n<li>Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).</li>\n<li>Background or coursework in AI, machine learning, data science, or human-centered AI preferred.</li>\n<li>Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.</li>\n<li>Availability to work in PST time zone.</li>\n</ul>\n<p>Other Critical Skills:</p>\n<ul>\n<li>Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.</li>\n<li>Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.</li>\n<li>Strong understanding of AI ethics, governance, and responsible AI frameworks.</li>\n<li>Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.</li>\n<li>Possesses strong technical aptitude. 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Proficiency in Microsoft 365</li>\n<li>Power BI (Highly Preferred)</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_3e70468c-037","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/ugycqzH2JyNDUqLnMufswg/hybrid-fbs-operations-analyst-iii-in-pune-at-capgemini","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["CX Operations","Audit & Governance","Data Analysis","Insights & Predictive Analytics","Root Cause Analysis","Digital recommendations","Competitive Analysis","Personalization","Agile framework"],"x-skills-preferred":["GenAI tools","Conversational AI platforms","AI-assisted productivity solutions","Anomaly detection","Clustering","Predictive scoring","AI ethics","Governance","Responsible AI frameworks","Tableau","Microsoft Excel","Microsoft Office","Jira","Rally","Contact center","CMS tools","Power BI"],"datePosted":"2026-03-09T17:01:36.767Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pune, Maharashtra, India"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"CX Operations, Audit & Governance, Data Analysis, Insights & Predictive Analytics, Root Cause Analysis, Digital recommendations, Competitive Analysis, Personalization, Agile framework, GenAI tools, Conversational AI platforms, AI-assisted productivity solutions, Anomaly detection, Clustering, Predictive scoring, AI ethics, Governance, Responsible AI frameworks, Tableau, Microsoft Excel, Microsoft Office, Jira, Rally, Contact center, CMS tools, Power BI"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_666f5dc1-996"},"title":"HR Cloud Advisory Consultant - Principal","description":"<p>You want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients&#39; most important challenges? We are growing and are looking for people to join our team. You&#39;ll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organisation allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?</p>\n<p>We are seeking a highly skilled and experienced Oracle Recruitment Cloud professional to join a team driving large-scale Human Capital Management (HCM) cloud transformation initiatives.</p>\n<p>In this role, you will be part of a team focusing on HCM innovation and NextGen HR Hire to Retire in pursuit of enabling world-class workforce operations and experiences. You will guide our clients through HR Transformation, leveraging HR technology to create an impact on business outcomes.</p>\n<p>More specifically, the responsibilities of this role include the following areas of expertise:</p>\n<p>Deep understanding of Oracle Recruiting Cloud modules and workflows</p>\n<p>Familiarity with Oracle Fusion Cloud Human Capital Management (HCM) and its integration points\nUnderstanding of Talent Management and Global HR modules</p>\n<p>Experience with cloud-based HR systems and integration tools\nKnowledge of data migration and reporting tools like Oracle BI Publisher or OTBI</p>\n<p>Strong grasp of end-to-end recruitment processes, compliance, and best practices\nCollaboration with stakeholders across the business functions to define requirements and ensure alignment with strategic goals\nDriving continuous improvement and innovation in recruitment processes through technology\nContribute to practice development and pre-sales activities to further develop our service offerings, proposals and go-to-market initiatives.\nLead teams, fostering an environment of continuous learning and growth.</p>\n<p>About You</p>\n<p>We are looking for a professional with robust consulting background or business and/or corporate experience in Oracle Recruitment Cloud implementations, HR Cloud Advisory and Hire-to-Retire HXM Technologies. The ideal candidate should be able to demonstrate experience and knowledge in at least one of the following areas:</p>\n<p>Have a broad business skill set including stakeholder management, problem-solving, and resilience\nHave experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences\nHave excellent interpersonal skills and strong written and verbal communication skills in country’s official language(s) (C2 proficiency) and English (C2 proficiency), project-related mobility/willingness to travel\nIn-depth knowledge and ability to design and optimize HR Operating Models\nAbility for conducting HR &amp; HR IT workshops and subsequently creating recommendation reports, thought leadership and transformation roadmaps.\nStrong facilitation, communication, and problem-solving abilities.\nDemonstrable experience in developing proposals and offerings, either for internal or external clients.</p>\n<p>To qualify for the role, you must have:</p>\n<p>Proven track record in delivering HCM cloud transformation programmes (minimum 5 years).\nStrong understanding of digital transformation principles and best practices.\nIn-depth understanding of Oracle Recruitment Cloud\nUK Public Sector experience\nExcellent stakeholder management and communication skills.\nExperience in agile and waterfall delivery methodologies.\nRelevant certifications in HCM platforms (preferred)</p>\n<p>Given that this is just a short snapshot of the role we encourage you to apply even if you don&#39;t meet all the requirements listed above. We are looking for team members who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.</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_666f5dc1-996","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Infosys Consulting - Europe","sameAs":"https://jobs.workable.com","logo":"https://logos.yubhub.co/view.com.png"},"x-apply-url":"https://jobs.workable.com/view/jAkRU2gMe394Lsn5auWrE2/hybrid-hr-cloud-advisory-consultant---principal-in-london-at-infosys-consulting---europe","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Oracle Recruitment Cloud","Oracle Fusion Cloud Human Capital Management (HCM)","Talent Management","Global HR","Cloud-based HR systems","Integration tools","Data migration and reporting tools","End-to-end recruitment processes","Compliance and best practices","Stakeholder management","Problem-solving","Resilience","Interpersonal skills","Written and verbal communication skills","HR Operating Models","HR IT workshops","Recommendation reports","Thought leadership","Transformation roadmaps","Facilitation","Communication","Problem-solving abilities","Proposal development","Offerings development"],"x-skills-preferred":[],"datePosted":"2026-03-09T16:51:13.344Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"HR","industry":"Consulting","skills":"Oracle Recruitment Cloud, Oracle Fusion Cloud Human Capital Management (HCM), Talent Management, Global HR, Cloud-based HR systems, Integration tools, Data migration and reporting tools, End-to-end recruitment processes, Compliance and best practices, Stakeholder management, Problem-solving, Resilience, Interpersonal skills, Written and verbal communication skills, HR Operating Models, HR IT workshops, Recommendation reports, Thought leadership, Transformation roadmaps, Facilitation, Communication, Problem-solving abilities, Proposal development, Offerings development"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cb7cf703-011"},"title":"PPC Executive","description":"<p><strong>Job Description</strong></p>\n<p>We have an exciting opportunity to join Go.Compare&#39;s Performance Marketing team as a PPC Executive, working within our dedicated PPC team. This role is ideal for someone looking to grow their PPC career, supporting the delivery of impactful campaigns in a fast-paced environment while making a tangible impact on business performance.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Support the delivery of PPC Account strategies, assisting with execution and day-to-day performance management to help meet targets and business objectives.</li>\n<li>Contribute to bid strategy optimisation, ensuring campaigns are set up and adjusted to drive results.</li>\n<li>Assist with planning and running A/B tests, helping to optimise account performance and share learnings.</li>\n<li>Work closely with stakeholders across the business, providing updates on account performance, competitor activity, and upcoming tests.</li>\n<li>Keep up to date with Paid Search developments, including new tools, trends, and AI innovations, and share relevant findings with the team.</li>\n<li>Help create and optimise PPC audience segments to improve targeting and campaign effectiveness.</li>\n<li>Support reporting by turning performance data into clear, useful insights that can be shared with commercial teams to aid decision-making.</li>\n</ul>\n<p><strong>Experience that will put you ahead of the curve:</strong></p>\n<ul>\n<li>Hands on experience in PPC, with experience managing and optimising multiple accounts.</li>\n<li>Proven ability to contribute to ROI targets while supporting revenue and profit growth.</li>\n<li>Experience working on PPC projects in fast-paced environments, collaborating with both internal and external stakeholders.</li>\n<li>Solid experience with Google Ads and Microsoft Ads, with strong platform knowledge.</li>\n<li>Familiarity with A/B testing and key PPC metrics such as auction insights, quality score, ROI, and optimisation score.</li>\n<li>Ability to analyse data, identify trends, and make recommendations to improve performance.</li>\n<li>Google Ads and Microsoft Ads accredited.</li>\n<li>Proficiency in Google Sheets or Excel; Looker Studio, GA4, and SA360 experience is a bonus.</li>\n</ul>\n<p><strong>What&#39;s in it for you</strong></p>\n<p>The expected salary range for this role is £24,000 - £31,000. This is a Hybrid role from our Cardiff Office, working three days from the office, two from home. You will also receive a range of great perks, including uncapped leave, a share of profits with a bonus, and wellbeing support with access to our Colleague Assistant Programmes.</p>\n<p><strong>Who are we</strong></p>\n<p>We&#39;re Go.Compare, part of Future PLC. We pride ourselves on being a fun but fair place to work, with flexible hours and plenty of perks, thanks to the Future community teams&#39; hard work making sure each team member is treated equally. We only collaborate with organisations we can rely on, so we&#39;ve built up a huge network of trusted partners. We&#39;re also authorised and regulated by the Financial Conduct Authority.</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_cb7cf703-011","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Go.Compare, part of Future PLC","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/61D5CE6E89","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"£24,000 - £31,000","x-skills-required":["PPC","Google Ads","Microsoft Ads","A/B testing","Google Sheets","Excel","Looker Studio","GA4","SA360"],"x-skills-preferred":["data analysis","trend identification","recommendation making"],"datePosted":"2026-03-09T16:20:53.251Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cardiff"}},"employmentType":"FULL_TIME","occupationalCategory":"Marketing","industry":"Finance","skills":"PPC, Google Ads, Microsoft Ads, A/B testing, Google Sheets, Excel, Looker Studio, GA4, SA360, data analysis, trend identification, recommendation making","baseSalary":{"@type":"MonetaryAmount","currency":"GBP","value":{"@type":"QuantitativeValue","minValue":24000,"maxValue":31000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_182e0122-26a"},"title":"Sr. Technology & Services Manager - KSA","description":"<p><strong>Why Valvoline Global Operations?</strong></p>\n<p>At Valvoline Global Operations, we&#39;re proud to be The Original Motor Oil, but we&#39;ve never rested on being first. Founded in 1866, we introduced the world&#39;s first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry.</p>\n<p><strong>Job Purpose</strong></p>\n<p>The Senior Technology Manager - Middle East &amp; Africa leads all technical services and customer technical support activities across the Middle East &amp; Africa region with a particular focus on KSA. Reporting directly to the Global Technical Services &amp; Field-Testing Director, this role is a key member of the MEA Management Team and serves as point of contact between the MEA region and Global R&amp;D.</p>\n<p><strong>How You Make an Impact (Job Accountabilities)</strong></p>\n<p><strong>Technical Leadership &amp; Coordination</strong></p>\n<ul>\n<li>Lead and oversee all technical service and support activities across MEA.</li>\n<li>Build and coach the regional technical services team.</li>\n<li>Act as the primary interface with Global R&amp;D. Provide leadership updates to Management Team.</li>\n</ul>\n<p><strong>Cross-Functional Collaboration</strong></p>\n<ul>\n<li>Partner with Sales, Marketing, Product Strategy, and R&amp;D to support product launches, business development, and go-to-market strategies.</li>\n<li>Deliver technical insights and ensure transparent reporting to regional and global leadership.</li>\n</ul>\n<p><strong>Key Customers &amp; OEM Support</strong></p>\n<ul>\n<li>Provide executive oversight on technical support to OEMs, distributors, fleets, and industrial clients.</li>\n<li>Personally manage strategic customers where required. Coach the team on technical proposals, oil analysis, training, and troubleshooting.</li>\n</ul>\n<p><strong>Field Testing &amp; Product Validation</strong></p>\n<ul>\n<li>Direct regional field trials, ensuring rigorous planning, monitoring, and execution.</li>\n<li>Oversee data acquisition and analysis with R&amp;D to support approvals and product improvement.</li>\n</ul>\n<p><strong>Complaints Handling</strong></p>\n<ul>\n<li>Lead resolution of high-impact customer complaints through structured root cause analysis.</li>\n<li>Collaborate with quality and supply chain to prevent recurrence.</li>\n</ul>\n<p><strong>Product recommendation / market insights</strong></p>\n<ul>\n<li>Provide market intelligence to Global R&amp;D and Marketing.</li>\n<li>Translate customer needs and competitor insights into product recommendations.</li>\n</ul>\n<p><strong>Manage technical CVPs / Services</strong></p>\n<ul>\n<li>Oversee development of technical customer value propositions and service offerings.</li>\n<li>Manage oil analysis programs and condition monitoring systems.</li>\n</ul>\n<p><strong>HSSE Leadership &amp; Coaching</strong></p>\n<ul>\n<li>Ensure a strong safety culture by coaching the technical services team on health, safety, security, and environmental compliance. Actively monitor adherence to regulations and corporate HSSE standards.</li>\n</ul>\n<p><strong>Training &amp; Knowledge Development</strong></p>\n<ul>\n<li>Design and oversee regional training plans for internal staff and external stakeholders. Lead execution of technical seminars, customer events, product launches, and internal enablement sessions. Ensure training programs align with commercial growth objectives.</li>\n</ul>\n<p><strong>What You Bring to the Role (Job Qualifications / Education / Skills / Requirements / Capabilities)</strong></p>\n<ul>\n<li>Bachelor’s degree in mechanical engineering or related field required, Master’s preferred.</li>\n<li>Proficiency in Arabic and English required.</li>\n<li>10+ years in technical services, lubricants, or related industries, with at least 5 years in a leadership role.</li>\n<li>Proven track record in field testing, complaint handling, and customer technical engagement across multiple countries.</li>\n<li>CLS (Certified Lubrication Specialist) or equivalent desirable.</li>\n</ul>\n<p><strong>Competencies Desired</strong></p>\n<p>Candidates with the following will be given preferential consideration:</p>\n<ul>\n<li>Strong leadership and team-building skills.</li>\n<li>Technical depth in lubricants and mechanical systems.</li>\n<li>Skilled in managing field trials and analyzing performance data.</li>\n<li>Strategic mindset with commercial acumen.</li>\n<li>Strong stakeholder management and communication skills.</li>\n<li>Commitment to safety and compliance.</li>\n</ul>\n<p><strong>Working Conditions / Physical Requirements / Travel Requirements</strong></p>\n<ul>\n<li>_Working Conditions / Physical Requirements_: Office setting</li>\n<li>_Travel Requirements_: up to 30% including international travel across MEA</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_182e0122-26a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Valvoline Global Operations","sameAs":"https://jobs.valvolineglobal.com","logo":"https://logos.yubhub.co/jobs.valvolineglobal.com.png"},"x-apply-url":"https://jobs.valvolineglobal.com/job/Sr_-Technology-&-Services-Manager-KSA-21577/1351830600/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Technical leadership","Cross-functional collaboration","Field testing","Complaints handling","Product recommendation","Manage technical CVPs","HSSE leadership","Training and knowledge development"],"x-skills-preferred":["Certified Lubrication Specialist","Arabic and English proficiency","Mechanical engineering or related field"],"datePosted":"2026-03-09T11:09:52.465Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"SA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"Technical leadership, Cross-functional collaboration, Field testing, Complaints handling, Product recommendation, Manage technical CVPs, HSSE leadership, Training and knowledge development, Certified Lubrication Specialist, Arabic and English proficiency, Mechanical engineering or related field"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_055866ad-94b"},"title":"Data Scientist III","description":"<p><strong>Data Scientist III</strong></p>\n<p>We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</p>\n<p><strong>We Are EA</strong></p>\n<p>Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.</p>\n<p><strong>Opportunity Ahead</strong></p>\n<p>Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</li>\n<li>Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.</li>\n<li>Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.</li>\n<li>Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.</li>\n<li>Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs</li>\n<li>Partner with product, business, and engineering to identify new data acquisition opportunities.</li>\n<li>Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.</li>\n<li>Collaborate with data engineers and software engineer across teams to serve their data needs.</li>\n<li>Evangelise data as a first-class citizen through documentation, standards, and reviews.</li>\n</ul>\n<p><strong>Must Have Skills</strong></p>\n<ul>\n<li>Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)</li>\n<li>5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.</li>\n<li>Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.</li>\n<li>Strong understanding of experimentation design and A/B testing frameworks</li>\n<li>Expert proficiency in Python frameworks (PyTorch, Scikit-learn).</li>\n<li>Experience with model monitoring and drift detection</li>\n<li>Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).</li>\n<li>Strong communication skills with the ability to translate complex models into business impact.</li>\n</ul>\n<p><strong>Desirable Skills</strong></p>\n<ul>\n<li>Experience in gaming analytics or player behaviour modelling</li>\n<li>Experience building recommendation or ranking systems</li>\n<li>Experience with cloud platforms (AWS/GCP/Azure)</li>\n</ul>\n<p><strong>What’s in it for you? Glad you asked!</strong></p>\n<p>We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance &amp; Medical, Accident &amp; life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.</p>\n<p><strong>_About Electronic Arts_</strong></p>\n<p>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.</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_055866ad-94b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Data-Scientist-III/212228","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)","5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions","Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing","Strong understanding of experimentation design and A/B testing frameworks","Expert proficiency in Python frameworks (PyTorch, Scikit-learn)"],"x-skills-preferred":["Experience in gaming analytics or player behaviour modelling","Experience building recommendation or ranking systems","Experience with cloud platforms (AWS/GCP/Azure)"],"datePosted":"2026-03-09T10:59:22.657Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad, Telangana, India"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience), 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions, Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing, Strong understanding of experimentation design and A/B testing frameworks, Expert proficiency in Python frameworks (PyTorch, Scikit-learn), Experience in gaming analytics or player behaviour modelling, Experience building recommendation or ranking systems, Experience with cloud platforms (AWS/GCP/Azure)"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_703876d0-bf6"},"title":"Senior Machine Learning Engineer: Ranking","description":"<p><strong>About Us</strong></p>\n<p>Constructor is a U.S. based company that develops a next-generation platform for search and discovery in ecommerce, built to optimize for metrics like revenue, conversion rate, and profit. 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You will work on building state-of-the-art ranking algorithms that improve user experience and drive critical business metrics such as conversion, user engagement, and revenue growth.</p>\n<p><strong>Improve Ranking Quality</strong></p>\n<p>You will analyze ranking performance and identify gaps in search, browse, and autocomplete experiences, focusing on relevance, personalization, attractiveness, diversification, and other quality signals.</p>\n<p><strong>Innovate and Optimize Ranking Algorithms</strong></p>\n<p>You will proactively propose new machine learning models, algorithms, and features to advance the ranking pipeline, improve ranking quality, and meet evolving business needs.</p>\n<p><strong>Collaboration with Cross-Functional Teams</strong></p>\n<p>You will collaborate with technical and non-technical business partners to develop / update ranking functionalities (both within and outside the team)</p>\n<p><strong>Requirements</strong></p>\n<p><strong>Hard Skills</strong></p>\n<ul>\n<li>At least 4 years of experience with Python for machine learning and backend development</li>\n<li>At least 4 years of experience developing, deploying, and maintaining machine learning models with a strong focus on ranking systems for search, recommendations, or similar applications</li>\n<li>Experience in large-scale ML model training, evaluation, and optimization, with a focus on real-time inference and serving</li>\n<li>Experience with big data frameworks such as Spark for processing large datasets and integrating them into ML pipelines</li>\n<li>Proficiency in using tools like SQL, PySpark, Pandas, and other frameworks to extract, manipulate, and analyze data</li>\n<li>Experience with data pipeline orchestration tools like Airflow or Luigi to manage and automate workflows for ML training and signal delivery</li>\n<li>Experience working on ranking algorithms that optimize metrics such as relevance, conversion rates, personalization, user engagement, RPV is a plus</li>\n</ul>\n<p><strong>Soft Skills</strong></p>\n<ul>\n<li>Experience collaborating in cross-functional teams</li>\n<li>Experience leading projects to success</li>\n<li>Excellent English communication skills</li>\n<li>Enjoy helping others around you grow as developers and be successful</li>\n<li>Pick up new ideas and technologies quickly, love learning and talking to others about them</li>\n<li>Love to experiment and use data and customer feedback to drive decision making</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time</li>\n<li>Fully remote team</li>\n<li>Work from home stipend</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</li>\n<li>Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results</li>\n<li>Stock options</li>\n<li>Regular team offsites to connect and collaborate</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_703876d0-bf6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/C130DBB1DC","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$80k–$120k USD","x-skills-required":["Python","Machine learning","Backend development","Ranking systems","Search","Recommendations","Big data frameworks","Spark","SQL","PySpark","Pandas","Airflow","Luigi"],"x-skills-preferred":["Transformers","Generative LLMs","Personalization","User experience","Conversion","User engagement","Revenue growth"],"datePosted":"2026-03-09T10:59:16.198Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Machine learning, Backend development, Ranking systems, Search, Recommendations, Big data frameworks, Spark, SQL, PySpark, Pandas, Airflow, Luigi, Transformers, Generative LLMs, Personalization, User experience, Conversion, User engagement, Revenue growth","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1bd0d1e7-4f8"},"title":"Offsite Recommendations GTM Specialist","description":"<p><strong>About the Role</strong></p>\n<p>As we expand our personalization and messaging capabilities, we are looking for a foundational member of our growing team. The Offsite Recommendations Strategist owns the activation, performance, and revenue growth of our AI-powered email recommendations offering. This is a revenue-generating, client-facing role with incentive-based compensation.</p>\n<p>You will serve as a strategic partner to retail and e-commerce clients, helping them design, launch, and scale high-performing recommendation-driven email programs across promotional, triggered, and lifecycle messaging. From first deployment through long-term expansion, you will guide customers in using intelligent recommendations to drive measurable gains in engagement, conversion, and lifetime value.</p>\n<p><strong>What You’ll Do</strong></p>\n<ul>\n<li>Own onboarding and activation for offsite recommendations, partnering with Sales, Account Management, Customer Success, Solutions, and Marketing teams.</li>\n<li>Guide clients through ESP integrations, feed setup, and recommendation placement in email templates.</li>\n<li>Advise on high-impact email use cases including:</li>\n<li>Promotional campaigns</li>\n<li>Browse &amp; cart abandonment</li>\n<li>Post-purchase and replenishment</li>\n<li>Lifecycle and retention programs</li>\n<li>Serve as the subject-matter expert on email personalization and recommendations.</li>\n<li>Analyze performance and provide data-driven recommendations to improve CTR, conversion, AOV, revenue per send, and LTV.</li>\n<li>Own revenue growth across a portfolio of customers through upsell, expansion, and new use cases.</li>\n<li>Act as the voice of the customer, influencing product roadmap and go-to-market strategy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>1-3 years of hands-on email or lifecycle marketing experience, ideally in e-commerce or retail.</li>\n<li>3-5+ years of client-facing experience in sales, account management, customer success, or account strategy</li>\n<li>Strong understanding of:</li>\n<li>ESPs and email ecosystems</li>\n<li>Segmentation, personalization, and lifecycle strategy</li>\n<li>Campaign vs. triggered messaging</li>\n<li>Testing and performance measurement</li>\n<li>Experience working with AI-driven personalization or recommendation systems.</li>\n<li>Proven ability to translate data into insights and business impact.</li>\n<li>Client-facing experience with a consultative, growth-oriented mindset.</li>\n<li>Track record of driving or influencing revenue growth from existing customers.</li>\n<li>Excellent communication skills and comfort working with both operators and executives.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time</li>\n<li>A competitive compensation package including stock options</li>\n<li>Fully remote team</li>\n<li>Work from home stipend</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Parental leave for qualified employees</li>\n<li>Work with smart people who will help you grow and make a meaningful impact</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_1bd0d1e7-4f8","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/9FAFA1AA30","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["email or lifecycle marketing experience","client-facing experience in sales, account management, customer success, or account strategy","ESPs and email ecosystems","segmentation, personalization, and lifecycle strategy","campaign vs. triggered messaging","testing and performance measurement","AI-driven personalization or recommendation systems"],"x-skills-preferred":["data analysis","communication skills"],"datePosted":"2026-03-09T10:58:46.024Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"email or lifecycle marketing experience, client-facing experience in sales, account management, customer success, or account strategy, ESPs and email ecosystems, segmentation, personalization, and lifecycle strategy, campaign vs. triggered messaging, testing and performance measurement, AI-driven personalization or recommendation systems, data analysis, communication skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8eee058-0f9"},"title":"Data Analyst: Personalization","description":"<p><strong>Role Overview</strong></p>\n<p>The Personalization team, within the Machine Learning Chapter and Engineering Department, plays a central role in implementing algorithms that utilize personalization signals to optimize for business KPIs like revenue &amp; conversions.</p>\n<p>You will work closely with engineers and product managers to define success, uncover insights, and influence roadmap decisions through data. Your work will help shape innovative user experiences that drive business KPIs, interpret user behavior, and drive product and algorithm improvements.</p>\n<p><strong>Challenges you will tackle</strong></p>\n<ul>\n<li>Understand Shopper Behavior: Investigate how product changes affect user behavior and conversion metrics. Use SQL, Python, and Spark to uncover usage patterns, anomalies, and opportunities for optimization.</li>\n<li>Design &amp; Validate Metrics: Define new metrics to measure personalization, and model performance. Ensure metrics align with user experience and business goals through rigorous validation.</li>\n<li>Build Analytics Infrastructure: Create scalable dashboards and reporting tools for product, engineering, and leadership teams. Develop debugging tools to explain ranking decisions and identify performance issues.</li>\n<li>Drive Data-Informed Decisions: Partner cross-functionally to design experiments, validate hypotheses, and communicate insights that directly influence product roadmap and ML strategy.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>3+ years analyzing complex experiments and extracting actionable insights from large, noisy datasets. Experience with statistical testing and practical experiment design.</li>\n<li>Write optimized SQL queries for terabyte-scale data extraction and transformation. Proficiency with distributed systems like Spark for large-scale data processing.</li>\n<li>Strong skills in exploratory analysis and building internal tools. Experience with data science libraries and automation.</li>\n<li>Understanding of ML pipelines, training data quality, and ranking/recommendation metrics. Familiarity with search relevance and personalization concepts.</li>\n<li>Design metrics that accurately reflect model and product performance. Ensure alignment between technical metrics and business outcomes.</li>\n<li>Create compelling dashboards using Tableau, Looker, or custom dashboards in Python. Present complex findings clearly to both technical and executive audiences.</li>\n<li>Influence product and engineering decisions through data storytelling. Collaborate effectively across teams to drive ML and product improvements.</li>\n<li>Deep curiosity about user behavior and business impact. Connect algorithm changes to real-world customer outcomes.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year</li>\n<li>Fully remote team - choose where you live</li>\n<li>Work from home stipend! We want you to have the resources you need to set up your home office</li>\n<li>Apple laptops provided for new employees</li>\n<li>Training and development budget for every employee, refreshed each year</li>\n<li>Maternity &amp; Paternity leave for qualified employees</li>\n<li>Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results</li>\n<li>Stock options - offered in addition to the base salary</li>\n<li>Regular team offsites to connect and collaborate</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_c8eee058-0f9","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Constructor","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/DA5744F6E7","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80k–$120k USD","x-skills-required":["SQL","Python","Spark","statistical testing","practical experiment design","data science libraries","automation","ML pipelines","training data quality","ranking/recommendation metrics","search relevance","personalization concepts"],"x-skills-preferred":["Tableau","Looker","custom dashboards in Python"],"datePosted":"2026-03-09T10:58:06.276Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, Spark, statistical testing, practical experiment design, data science libraries, automation, ML pipelines, training data quality, ranking/recommendation metrics, search relevance, personalization concepts, Tableau, Looker, custom dashboards in Python","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":120000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_619da0e0-84b"},"title":"Support Bar Analyst (IT Help Desk)","description":"<p>At Keywords, we are seeking a Support Bar Analyst (IT Help Desk) to provide local and frontline support at our Cinisello Balsamo location. The successful candidate will serve as a main point of contact for studio issues, providing high-level technical knowledge and customer service across instant messaging, email, telephone, and face-to-face interactions.</p>\n<p>This is an excellent opportunity for a Support Bar Analyst (IT Help Desk) with excellent communication and leadership skills, looking to make an impact within a fast-paced and dynamic environment. The role reports to the Head of Local Support and involves working closely with colleagues in other offices to deliver a seamless service to our users.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Act as front-line support for local and/or time zone-based employees</li>\n<li>Serve as the main point of contact for our customers via email, walk-ups, and chat support</li>\n<li>Respond promptly and professionally to customer inquiries and troubleshoot issues related to our products and services</li>\n<li>Utilize relevant software and databases to effectively diagnose, track, and resolve customer issues and address complaints</li>\n<li>Maintain accurate records, including call logs and ticketing systems, to track customer interactions and issue resolution</li>\n<li>Collaborate with other teams to identify and resolve technical issues</li>\n<li>Stay up-to-date with industry trends and provide input on continuous improvement to the Helpdesk and customer service workflows</li>\n<li>Identify and escalate issues requiring urgent attention to the appropriate parties</li>\n<li>Ensure SLAs are met and that our internal users are provided with an exceptional user experience</li>\n<li>Ensure that all IT assets in the local office are managed and maintained to a high standard</li>\n<li>Ensure compliance with all relevant regulations and legislation related to workplace services, health and safety, and environmental management</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Global experience within a business services environment and ideally video games development and/or working in a highly technical development environment</li>\n<li>Strong knowledge of first and second-line support operations</li>\n<li>Desirable knowledge of ServiceNow and industry trends</li>\n<li>Excellent relationship-building skills</li>\n<li>Ability to work in a matrix management environment</li>\n<li>Proven work experience in a customer service or Helpdesk role</li>\n<li>Excellent communication and active listening skills with a customer-first mindset</li>\n<li>Ability to operate effectively in a dynamic, fast-paced environment and multitask effectively</li>\n<li>Ability to learn quickly and adapt to new software applications and technologies</li>\n<li>Excellent problem-solving skills</li>\n<li>Strong customer service orientation, with a focus on delivering high-quality services to employees and stakeholders</li>\n</ul>\n<p>Skills and experience desired:</p>\n<ul>\n<li>Manage the deployment, configuration, and maintenance of mobile devices, including tablets, smartphones, consoles, Meeting Room solutions (Intune, Autopilot, EMS, MDM, VDI)</li>\n<li>Manage the deployment, configuration, and maintenance of user peripherals</li>\n<li>Provide 3rd-line support for mobility applications to team members, customers</li>\n<li>Helping Keywords gain compliance in Local and global standards (ISO 27001, Cyber Essentials Plus)</li>\n<li>Collaborate with other stakeholders to ensure application security and data privacy are maintained</li>\n<li>Evaluate emerging technologies and provide recommendations for improving mobility services by closely working with OEMs and Vendors</li>\n<li>Develop and maintain technical documentation related to mobility solutions, providing training where needed to other departments on mobility solutions</li>\n<li>Basic knowledge of ITIL process</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_619da0e0-84b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Keywords","sameAs":"https://apply.workable.com","logo":"https://logos.yubhub.co/j.com.png"},"x-apply-url":"https://apply.workable.com/j/41B06F3A90","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Global experience within a business services environment","Strong knowledge of first and second-line support operations","Desirable knowledge of ServiceNow and industry trends","Excellent relationship-building skills","Ability to work in a matrix management environment","Proven work experience in a customer service or Helpdesk role","Excellent communication and active listening skills with a customer-first mindset","Ability to operate effectively in a dynamic, fast-paced environment and multitask effectively","Ability to learn quickly and adapt to new software applications and technologies","Excellent problem-solving skills","Strong customer service orientation, with a focus on delivering high-quality services to employees and stakeholders"],"x-skills-preferred":["Manage the deployment, configuration, and maintenance of mobile devices","Manage the deployment, configuration, and maintenance of user peripherals","Provide 3rd-line support for mobility applications to team members, customers","Helping Keywords gain compliance in Local and global standards (ISO 27001, Cyber Essentials Plus)","Collaborate with other stakeholders to ensure application security and data privacy are maintained","Evaluate emerging technologies and provide recommendations for improving mobility services by closely working with OEMs and Vendors","Develop and maintain technical documentation related to mobility solutions, providing training where needed to other departments on mobility solutions","Basic knowledge of ITIL process"],"datePosted":"2026-03-09T10:56:31.319Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cinisello Balsamo"}},"employmentType":"FULL_TIME","occupationalCategory":"IT","industry":"Technology","skills":"Global experience within a business services environment, Strong knowledge of first and second-line support operations, Desirable knowledge of ServiceNow and industry trends, Excellent relationship-building skills, Ability to work in a matrix management environment, Proven work experience in a customer service or Helpdesk role, Excellent communication and active listening skills with a customer-first mindset, Ability to operate effectively in a dynamic, fast-paced environment and multitask effectively, Ability to learn quickly and adapt to new software applications and technologies, Excellent problem-solving skills, Strong customer service orientation, with a focus on delivering high-quality services to employees and stakeholders, Manage the deployment, configuration, and maintenance of mobile devices, Manage the deployment, configuration, and maintenance of user peripherals, Provide 3rd-line support for mobility applications to team members, customers, Helping Keywords gain compliance in Local and global standards (ISO 27001, Cyber Essentials Plus), Collaborate with other stakeholders to ensure application security and data privacy are maintained, Evaluate emerging technologies and provide recommendations for improving mobility services by closely working with OEMs and Vendors, Develop and maintain technical documentation related to mobility solutions, providing training where needed to other departments on mobility solutions, Basic knowledge of ITIL process"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a51375e8-30e"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost. Our work spans today&#39;s frontier AI workloads and directly shapes the next generation of accelerators, system architectures, and large-scale AI platforms. We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures. This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale. In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>About the Team</p>\n<p>We build foundational AI infrastructure that enables large-scale training and inference across diverse workloads and rapidly evolving hardware generations. Our work directly shapes how AI systems are designed, deployed, and scaled today and into the future. Engineers on this team operate with end-to-end ownership, deep technical rigor, and a strong bias toward real-world impact.</p>\n<p>Microsoft Superintelligence Team</p>\n<p>Microsoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!</p>\n<p>Responsibilities</p>\n<p>Lead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks. Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements. Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems. Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps. Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations. Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs. Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams. Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</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_a51375e8-30e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/member-of-technical-staff-software-co-design-ai-hpc-systems-mai-superintelligence-team-3/","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["AI accelerator or GPU architectures","Distributed systems and large-scale AI training/inference","High-performance computing (HPC) and collective communications","ML systems, runtimes, or compilers","Performance modeling, benchmarking, and systems analysis","Hardware–software co-design for AI workloads","Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development"],"x-skills-preferred":["Experience designing or operating large-scale AI clusters for training or inference","Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications","Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand)","Background in performance modeling and capacity planning for future hardware generations","Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews","Publications, patents, or open-source contributions in systems, architecture, or ML systems"],"datePosted":"2026-03-08T22:18:41.443Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI accelerator or GPU architectures, Distributed systems and large-scale AI training/inference, High-performance computing (HPC) and collective communications, ML systems, runtimes, or compilers, Performance modeling, benchmarking, and systems analysis, Hardware–software co-design for AI workloads, Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development, Experience designing or operating large-scale AI clusters for training or inference, Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications, Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand), Background in performance modeling and capacity planning for future hardware generations, Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews, Publications, patents, or open-source contributions in systems, architecture, or ML systems"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cd1a0d16-311"},"title":"Member of Technical Staff, Software Co-Design AI HPC Systems","description":"<p>Our team&#39;s mission is to architect, co-design, and productionize next-generation AI systems at datacenter scale. We operate at the intersection of models, systems software, networking, storage, and AI hardware, optimizing end-to-end performance, efficiency, reliability, and cost.</p>\n<p>We pursue this mission through deep hardware–software co-design, combining rigorous systems thinking with hands-on engineering. The team invests heavily in understanding real production workloads large-scale training, inference, and emerging multimodal models and translating those insights into concrete improvements across the stack: from kernels, runtimes, and distributed systems, all the way down to silicon-level trade-offs and datacenter-scale architectures.</p>\n<p>This role sits at the boundary between exploration and production. You will work closely with internal infrastructure, hardware, compiler, and product teams, as well as external partners across the hardware and systems ecosystem. Our operating model emphasizes rapid ideation and prototyping, followed by disciplined execution to drive high-leverage ideas into production systems that operate at massive scale.</p>\n<p>In addition to delivering real-world impact on large-scale AI platforms, the team actively contributes to the broader research and engineering community. Our work aligns closely with leading communities in ML systems, distributed systems, computer architecture, and high-performance computing, and we regularly publish, prototype, and open-source impactful technologies where appropriate.</p>\n<p>Microsoft Superintelligence Team\nMicrosoft Superintelligence team’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p>\n<p>This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact.</p>\n<p>Responsibilities\nLead the co-design of AI systems across hardware and software boundaries, spanning accelerators, interconnects, memory systems, storage, runtimes, and distributed training/inference frameworks.</p>\n<p>Drive architectural decisions by analyzing real workloads, identifying bottlenecks across compute, communication, and data movement, and translating findings into actionable system and hardware requirements.</p>\n<p>Co-design and optimize parallelism strategies, execution models, and distributed algorithms to improve scalability, utilization, reliability, and cost efficiency of large-scale AI systems.</p>\n<p>Develop and evaluate what-if performance models to project system behavior under future workloads, model architectures, and hardware generations, providing early guidance to hardware and platform roadmaps.</p>\n<p>Partner with compiler, kernel, and runtime teams to unlock the full performance of current and next-generation accelerators, including custom kernels, scheduling strategies, and memory optimizations.</p>\n<p>Influence and guide AI hardware design at system and silicon levels, including accelerator microarchitecture, interconnect topology, memory hierarchy, and system integration trade-offs.</p>\n<p>Lead cross-functional efforts to prototype, validate, and productionize high-impact co-design ideas, working across infrastructure, hardware, and product teams.</p>\n<p>Mentor senior engineers and researchers, set technical direction, and raise the overall bar for systems rigor, performance engineering, and co-design thinking across the organization.</p>\n<p>Qualifications\nBachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Additional or Preferred Qualifications\nMaster’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</p>\n<p>Strong background in one or more of the following areas: AI accelerator or GPU architectures Distributed systems and large-scale AI training/inference High-performance computing (HPC) and collective communications ML systems, runtimes, or compilers Performance modeling, benchmarking, and systems analysis Hardware–software co-design for AI workloads Proficiency in systems-level programming (e.g., C/C++, CUDA, Python) and performance-critical software development.</p>\n<p>Proven ability to work across organizational boundaries and influence technical decisions involving multiple stakeholders. Experience designing or operating large-scale AI clusters for training or inference. Deep familiarity with LLMs, multimodal models, or recommendation systems, and their systems-level implications. Experience with accelerator interconnects and communication stacks (e.g., NCCL, MPI, RDMA, high-speed Ethernet or InfiniBand). Background in performance modeling and capacity planning for future hardware generations. Prior experience contributing to or leading hardware roadmaps, silicon bring-up, or platform architecture reviews. 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You will work closely with Development, Design, and Data Science teams to ship features and optimize systems that connect players with the right content at the right time.  ### Responsibilities  - Own product strategy and execution for defined areas of the Discover surface, developing roadmaps that improve player discovery and drive growth - Write detailed business and product requirements that guide design and technical specifications, partnering directly with Development and Data Science to ship high-quality systems and features - Develop and refine &quot;playbooks&quot; and operational strategies that leverage Discover features to achieve initiative goals, using data to measure effectiveness and iterate - Build and present product and feature concepts to leadership and cross-functional stakeholders, clearly articulating impact, rationale, and expected outcomes - Drive live operations execution for Discover initiatives, ensuring consistent quality and identifying opportunities for improvement through data analysis  ### Requirements  - 5+ years of Product Management experience, with meaningful exposure to discovery systems, content platforms, recommendation engines, or large-scale consumer products - Strong analytical skills with the ability to use data to inform product decisions, define success metrics, and evaluate feature performance - Passion for games and a solid understanding of growth, retention, and monetization mechanics that deliver value for players - Interest in creator ecosystems, with the ability to understand and advocate for developers building on a platform - Track record of shipping products in fast-paced, highly collaborative environments with multiple stakeholders - Strong written and verbal communication skills, including experience writing product requirement documents and presenting to senior leadership - Experience managing or mentoring other PMs is a plus  ## Benefits  Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance &amp; a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees &amp; dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.</strong></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_1d490c1c-f29","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5799376004","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Product Management","Discovery Systems","Content Platforms","Recommendation Engines","Data Analysis","Game Development","Creator Ecosystems"],"x-skills-preferred":["Data Science","Design","Marketing","Business Analysis"],"datePosted":"2026-03-08T22:12:00.294Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cary"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Discovery Systems, Content Platforms, Recommendation Engines, Data Analysis, Game Development, Creator Ecosystems, Data Science, Design, Marketing, Business Analysis"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_f019ba57-574"},"title":"Product Management Director (Discovery & Personalization)","description":"<p><strong>Product Management Director (Discovery &amp; Personalization)  As a key leader within the Discovery product org, you will help define the strategy and flywheel of the Discovery system. You will work closely with Development, Design, and Data Science teams to ship features and optimize systems that connect players with the right content at the right time.  ### Responsibilities  - Own product strategy and execution for defined areas of the Discover surface, developing roadmaps that improve player discovery and drive growth - Write detailed business and product requirements that guide design and technical specifications, partnering directly with Development and Data Science to ship high-quality systems and features - Develop and refine &quot;playbooks&quot; and operational strategies that leverage Discover features to achieve initiative goals, using data to measure effectiveness and iterate - Build and present product and feature concepts to leadership and cross-functional stakeholders, clearly articulating impact, rationale, and expected outcomes - Drive live operations execution for Discover initiatives, ensuring consistent quality and identifying opportunities for improvement through data analysis  ### Requirements  - 5+ years of Product Management experience, with meaningful exposure to discovery systems, content platforms, recommendation engines, or large-scale consumer products - Strong analytical skills with the ability to use data to inform product decisions, define success metrics, and evaluate feature performance - Passion for games and a solid understanding of growth, retention, and monetization mechanics that deliver value for players - Interest in creator ecosystems, with the ability to understand and advocate for developers building on a platform - Track record of shipping products in fast-paced, highly collaborative environments with multiple stakeholders - Strong written and verbal communication skills, including experience writing product requirement documents and presenting to senior leadership - Experience managing or mentoring other PMs is a plus  ## Pay Transparency Information  The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience.  New York City Base Pay Range  $209,534—$307,316 USD  California Base Pay Range  $230,487—$338,048 USD  Washington Base Pay Range</strong></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_f019ba57-574","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Epic Games","sameAs":"https://www.epicgames.com","logo":"https://logos.yubhub.co/epicgames.com.png"},"x-apply-url":"https://www.epicgames.com/en-US/careers/jobs/5808313004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$209,534—$307,316 USD (New York City) or $230,487—$338,048 USD (California)","x-skills-required":["Product Management","Discovery systems","Content platforms","Recommendation engines","Large-scale consumer products","Data analysis","Game development","Creator ecosystems"],"x-skills-preferred":["Product requirement documents","Presenting to senior leadership","Managing or mentoring other PMs"],"datePosted":"2026-03-08T22:11:30.958Z","jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product Management, Discovery systems, Content platforms, Recommendation engines, Large-scale consumer products, Data analysis, Game development, Creator ecosystems, Product requirement documents, Presenting to senior leadership, Managing or mentoring other PMs","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":209534,"maxValue":338048,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b220ac50-0a0"},"title":"Technical Abuse Investigator","description":"<p><strong>Location</strong></p>\n<p>San Francisco; New York City; Remote - US</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>Intelligence &amp; Investigations</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$198K – $220K • 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 the Team</strong></p>\n<p>OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.</p>\n<p>The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. 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Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.</p>\n<p>You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.</p>\n<p>This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work <strong>PST</strong> and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.</li>\n</ul>\n<ul>\n<li>Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.</li>\n</ul>\n<ul>\n<li>Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.</li>\n</ul>\n<ul>\n<li>Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.</li>\n</ul>\n<ul>\n<li>Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries</li>\n</ul>\n<ul>\n<li>Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.</li>\n</ul>\n<ul>\n<li>Be someone people enjoy working with.</li>\n</ul>\n<ul>\n<li>Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have a strong background in computer science, software engineering, or a related field.</li>\n<li>Have experience with data analysis, machine learning, or other technical skills relevant to the role.</li>\n<li>Are able to work effectively in a fast-paced, dynamic environment.</li>\n<li>Are able to communicate complex technical information to non-technical stakeholders.</li>\n<li>Are able to work independently and as part of a team.</li>\n<li>Are able to adapt to changing priorities and deadlines.</li>\n<li>Are able to maintain confidentiality and handle sensitive information.</li>\n<li>Are able to work in a remote environment.</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_b220ac50-0a0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/492ffc24-6b6e-4aa0-b31c-2a29a550b086","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$198K – $220K","x-skills-required":["computer science","software engineering","data analysis","machine learning","technical skills","investigative judgment","complex datasets","abuse signals","investigative methods","lightweight technical solutions","SQL","Python","data pipelines","investigation templates","dashboards","internal utilities","data systems","enforcement mechanisms","engineering","data teams","investigative tooling","data quality","workflows","written briefs","data-backed recommendations","escalation summaries","incident response","rapid threat triaging","investigation","mitigation","sound judgement","concise briefing","senior leadership","team dynamics","high-pressure environments"],"x-skills-preferred":["artificial intelligence","natural language processing","computer vision","deep learning","neural networks","data science","statistics","probability","mathematics","algorithm design","software development","testing","debugging","version control","agile development","scrum","kanban","project management","team leadership","communication","public speaking","writing","editing","proofreading"],"datePosted":"2026-03-06T18:40:49.522Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco; 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We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for a <strong>Machine Learning Engineer</strong> to join our <strong>Notifications team</strong>, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users—surfacing the right content, at the right time, through the right channel.</p>\n<p>You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Design and build end-to-end <strong>ranking and recommendation systems</strong> for notifications, from modeling to evaluation and deployment.</li>\n</ul>\n<ul>\n<li>Apply and adapt <strong>LLMs to ranking problems</strong>, including prompt-based approaches and fine-tuning.</li>\n</ul>\n<ul>\n<li>Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams.</li>\n</ul>\n<ul>\n<li>Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems.</li>\n</ul>\n<ul>\n<li>Build robust offline and online evaluations to measure system improvements and user outcomes.</li>\n</ul>\n<ul>\n<li>Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have hands-on experience building and deploying <strong>ranking, recommendation, or personalization systems</strong> at scale.</li>\n</ul>\n<ul>\n<li>Have a deep understanding of machine learning and its applications, with exposure to <strong>LLMs</strong> and their integration into product experiences.</li>\n</ul>\n<ul>\n<li>Are experienced in <strong>experimentation</strong>, A/B testing, and analyzing impact on user behavior and business metrics.</li>\n</ul>\n<ul>\n<li>Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues.</li>\n</ul>\n<ul>\n<li>Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions.</li>\n</ul>\n<ul>\n<li>Have strong <strong>product intuition</strong> and can balance modeling sophistication with product impact.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. 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execution support</li>\n<li>Surface &amp; scope opportunities — investigate market pain points, partner with leadership on shaping strategy, then translate direction into scopes, specs, and cross-team execution.</li>\n<li>Write scopes/specs, manage JIRA, and keep initiatives moving smoothly across Design/Eng/Marketing</li>\n<li>Support launch plans, onboarding flows, rollout processes, and usage monitoring.</li>\n<li>Connect product metrics to conversion, activation, retention, and revenue</li>\n</ul>\n<p>Skills You’ll Bring</p>\n<ul>\n<li>Product &amp; business foundation</li>\n<li>2+ years of PM experience at a product-driven tech company, owning meaningful product surface area (B2C a plus)</li>\n<li>1+ years experience in a fast-paced, analytical role (e.g., chief of staff, bizops, VC/PE, banking, consulting, or growth-focused roles at a high-growth tech company)</li>\n</ul>\n<ul>\n<li>Analytical &amp; strategic</li>\n<li>Strong ability to structure ambiguous problems, form hypotheses, design/interpret experiments, and make data-driven decisions</li>\n<li>GM-like mindset with awareness of how product connects to revenue, growth models, pricing, and go-to-market</li>\n</ul>\n<ul>\n<li>Execution &amp; product sense</li>\n<li>Nice to have - Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)</li>\n<li>Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives</li>\n</ul>\n<ul>\n<li>Mindset &amp; communication</li>\n<li>Ownership-first, bias-to-action, thrives in early-stage/high-urgency environments</li>\n<li>Deep user empathy, first-principles thinker, obsessed with simple, elegant solutions</li>\n<li>Excellent communicator who can turn chaos into clarity and align stakeholders</li>\n</ul>\n<p>You WILL NOT enjoy this role if</p>\n<ul>\n<li>You need a rigid playbook or lots of hand-holding — this is a fast-moving startup with shifting priorities.</li>\n<li>You avoid digging into data or SQL, being data informed is core to this role.</li>\n<li>You prefer long research cycles over shipping quickly and iterating.</li>\n<li>You’re uncomfortable making decisions with incomplete information.</li>\n<li>You aren’t naturally hyper-organized you’ll be expected to keep metrics, JIRA, specs, and experiments tidy and up-to-date so the team can move fast.</li>\n<li>You don’t play video games</li>\n</ul>\n<ul>\n<li><em> </em></li>\n</ul>\n<p>Link to This Job</p>\n<p>Location</p>\n<p>Toronto, Ontario (Hybrid)</p>\n<ul>\n<li><em> </em></li>\n</ul>\n<p>Department</p>\n<p>R&amp;D</p>\n<ul>\n<li><em> </em></li>\n</ul>\n<p>Employment Type</p>\n<p>Full-Time</p>\n<ul>\n<li><em> </em></li>\n</ul>\n<p>Minimum Experience</p>\n<p>Entry-level</p>\n<ul>\n<li><em> </em></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_eb09e900-aef","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Trophiai","sameAs":"https://trophiai.bamboohr.com","logo":"https://logos.yubhub.co/trophiai.bamboohr.com.png"},"x-apply-url":"https://trophiai.bamboohr.com/careers/53","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"Not stated","x-skills-required":["Product & business foundation","Analytical & strategic","Execution & product sense","Mindset & communication"],"x-skills-preferred":["Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation)","Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives"],"datePosted":"2026-03-06T14:18:37.798Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Toronto, Ontario"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Product & business foundation, Analytical & strategic, Execution & product sense, Mindset & communication, Shipped AI-powered products or features (LLMs, recommendation engines, intelligent automation), Ability to deconstruct visions into clear, actionable roadmaps that align with company objectives"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5970d42d-119"},"title":"Product Manager","description":"<p><strong>Product Manager</strong></p>\n<p>R&amp;D - St. John&#39;s, Newfoundland and Labrador (Hybrid)</p>\n<ul>\n<li><em> </em></li>\n</ul>\n<p>What we’re doing</p>\n<p>We’re building the AI-powered coaching platform that transforms how gamers learn, compete, and win. Backed by a16z and $12M in funding, we’re live in 5 titles with 100K+ users, expanding rapidly into new games, hardware partnerships, and SDK integrations.</p>\n<p>You’ll Thrive Here If…</p>\n<ul>\n<li>You’re energized by ambiguity and move fast to bring clarity where others stall.</li>\n<li>You get a rush from finding the simple, elegant solution to a messy, complex problem.</li>\n<li>You think like a GM//always asking how a product choice impacts revenue, growth, and user success.</li>\n<li>You’re creative at problem solving — able to structure messy problems, build frameworks, and beat ambiguity with clear, actionable paths forward.</li>\n</ul>\n<p>Some things you’ll do</p>\n<ul>\n<li>User discovery &amp; insights</li>\n<li>Embed yourself into gamer communities (Reddit, Discord, conferences) to surface real user needs and trends.</li>\n<li>Talk to users, run surveys, and synthesize feedback into actionable insights.</li>\n<li>Translate customer problems &amp; business goals into clear, prioritized product requirements.</li>\n<li>Analyze product usage patterns (SQL, Mixpanel) and connect insights directly to business outcomes.</li>\n</ul>\n<ul>\n<li>Data-driven decision-making</li>\n<li>Define success metrics, own dashboards/funnels/experiment readouts, and deliver decision-ready insights.</li>\n<li>Size and scope opportunities using product data, market sizing, and an 80/20 lens to de-risk decisions quickly.</li>\n<li>Identify opportunities to double down, design/run experiments (A/B tests, pilots), and present clear recommendations.</li>\n</ul>\n<ul>\n<li>Product strategy &amp; 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This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI technology. You&#39;ll work directly with leadership to shape the company&#39;s direction in the AI market.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Senior Applied Scientist, you&#39;ll lead the science behind Discover&#39;s ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Lead content-quality understanding at scale.</li>\n<li>Advance the recommendation &amp; ranking stack.</li>\n<li>Own evaluation and experimentation.</li>\n<li>Champion safety &amp; trust.</li>\n<li>Scale E2E ML systems.</li>\n<li>Mentor &amp; influence.</li>\n<li>Stay close to users.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>4+ years related experience (e.g., statistics predictive analytics, research).</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise with LLMs (prompting, RAG, Parameter-Efficient Fine-Tuning), multimodal modeling, and retrieval-augmented recommendation.</li>\n<li>Familiarity with counterfactual learning and multi-objective optimization.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Strong communication and collaboration skills.</li>\n<li>Ability to work in a fast-paced environment.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary.</li>\n<li>Comprehensive benefits package.</li>\n<li>Opportunities for professional growth and development.</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_9e63acec-fe1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/senior-applied-scientist-7/","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"CAD $114,400 – CAD $203,900 per year","x-skills-required":["LLMs","multimodal modeling","retrieval-augmented recommendation","counterfactual learning","multi-objective optimization"],"x-skills-preferred":["Python","PyTorch","TensorFlow"],"datePosted":"2026-03-06T07:25:39.633Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLMs, multimodal modeling, retrieval-augmented recommendation, counterfactual learning, multi-objective optimization, Python, PyTorch, TensorFlow","baseSalary":{"@type":"MonetaryAmount","currency":"CAD","value":{"@type":"QuantitativeValue","minValue":114400,"maxValue":203900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6b47ab3c-965"},"title":"Principal Applied Scientist","description":"<p><strong>Summary</strong></p>\n<p>Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that&#39;s revolutionising AI-powered quality understanding and recommendation systems.</p>\n<p><strong>About the Role</strong></p>\n<p>As a Principal Applied Scientist, you&#39;ll lead the science behind Discover&#39;s ranking and content-quality stack, combining LLMs, multimodal models, and large-scale recommender systems to drive measurable gains in engagement, satisfaction, and trust. You will set technical direction, mentor a high-caliber science cohort, and partner closely with engineering, PM, UXR, and policy to ship end-to-end outcomes.</p>\n<p><strong>Accountabilities</strong></p>\n<ul>\n<li>Lead content-quality understanding at scale.</li>\n<li>Advance the recommendation &amp; ranking stack.</li>\n<li>Own evaluation and experimentation.</li>\n<li>Champion safety &amp; trust.</li>\n<li>Scale E2E ML systems.</li>\n<li>Mentor &amp; influence.</li>\n<li>Stay close to users.</li>\n</ul>\n<p><strong>The Candidate we&#39;re looking for</strong></p>\n<p><strong>Experience:</strong></p>\n<ul>\n<li>Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.</li>\n</ul>\n<p><strong>Technical skills:</strong></p>\n<ul>\n<li>Expertise with LLMs (prompting, finetuning, RAG), multimodal modeling, and retrieval-augmented recommendation; familiarity with counterfactual learning and multi-objective optimization.</li>\n</ul>\n<p><strong>Personal attributes:</strong></p>\n<ul>\n<li>Demonstrated ability to lead cross-disciplinary efforts (PM, ENG, UXR, editorial/policy) from idea to shipped impact; mentoring scientists and setting technical vision.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Competitive salary and benefits package.</li>\n<li>Opportunities for professional growth and development.</li>\n<li>Collaborative and dynamic work environment.</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_6b47ab3c-965","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Microsoft AI","sameAs":"https://microsoft.ai","logo":"https://logos.yubhub.co/microsoft.ai.png"},"x-apply-url":"https://microsoft.ai/job/principal-applied-scientist-5/","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["LLMs","multimodal modeling","retrieval-augmented recommendation","counterfactual learning","multi-objective optimization"],"x-skills-preferred":["Python","Azure ML","Kusto","Synapse","Azure AI Foundry"],"datePosted":"2026-03-06T07:25:18.741Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redmond"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"LLMs, multimodal modeling, retrieval-augmented recommendation, counterfactual learning, multi-objective optimization, Python, Azure ML, Kusto, Synapse, Azure AI Foundry"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b325f4aa-4a5"},"title":"AI Engineer, Applied ML","description":"<p>Perplexity is looking for an Applied ML Engineer to design, build, and iterate on cutting-edge AI models powering our core experience. As an expert in machine learning and artificial intelligence, you will develop scalable and impactful solutions for user personalization, query understanding, and content discovery - fulfilling the curiosity of millions of users across the globe.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Apply state-of-the-art ML and LLM techniques to solve problems spanning:</li>\n<li>Personalization (LLM memory, context summarization, retrieval and ranking);</li>\n<li>Query Understanding (intent modeling, rewriting, agentic decomposition);</li>\n<li>Content Discovery (feed ranking and surfacing)</li>\n<li>Rigorously evaluate LLM/ML models with both offline and online techniques, designing experiments and metrics that provide deep insight into quality and impact.</li>\n<li>Own the entire model lifecycle from research to production: data analysis, modeling, evaluation, offline/online A/B testing, and iterative improvement.</li>\n<li>Collaborate cross-functionally with engineers, PMs, data scientists, and designers to ensure our AI drives meaningful product improvements.</li>\n<li>Stay at the forefront of ML/AI innovation by evaluating and incorporating emerging research and algorithms into the product lifecycle.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>5+ years experience building and shipping robust ML/AI models for large-scale, user-facing or data-driven products.</li>\n<li>Deep expertise in deep learning (PyTorch, TensorFlow, JAX), LLMs, information retrieval, content summarization, recommendation systems, NLP, and/or ranking.</li>\n<li>Strong software engineering skills (Python, production-quality codebases, collaborative development).</li>\n<li>In-depth experience with the full ML lifecycle: data analysis, feature engineering, iterative model development, rigorous evaluation, and ongoing monitoring/improvement.</li>\n<li>Proven collaborator and communicator; excels in high-velocity, cross-functional teams.</li>\n<li>Curious, driven by end-user/product impact, and passionate about advancing the state of applied ML and AI.</li>\n<li>BS, MS, or PhD in Computer Science, Engineering, or related field (or equivalent experience).</li>\n</ul>\n<p><strong>Bonus Points For</strong></p>\n<ul>\n<li>Experience with LLM prompt engineering, Retrieval-augmented generation (RAG) based systems.</li>\n<li>Experience in large scale user-centric and content-centric personalization challenges (user modeling, retrieval, content ranking, etc).</li>\n<li>Open-source or published contributions in ML, NLP, IR, or relevant research fields.</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_b325f4aa-4a5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Perplexity","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/perplexity.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/perplexity/3c656963-876a-458d-bca6-916a42a24c1a","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220K - $405K","x-skills-required":["deep learning","LLMs","information retrieval","content summarization","recommendation systems","NLP","ranking"],"x-skills-preferred":["LLM prompt engineering","Retrieval-augmented generation (RAG) based systems","large scale user-centric and content-centric personalization challenges"],"datePosted":"2026-03-04T12:24:05.980Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, New York City, Palo Alto"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"deep learning, LLMs, information retrieval, content summarization, recommendation systems, NLP, ranking, LLM prompt engineering, Retrieval-augmented generation (RAG) based systems, large scale user-centric and content-centric personalization challenges","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0d2fd881-aa1"},"title":"Lead Data Scientist - Search, Data & Insights (D&I)","description":"<p>We&#39;re looking for a thoughtful and disciplined Lead Data Scientist with deep statistical modeling experience, strong data engineering experience and a passion for games and digital technologies. You will report to a Director of Data Science within EA&#39;s central Data and Insights (D&amp;I) organization. You will work with top data science talent to build and improve search and personalization capabilities for most of EA&#39;s top games.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<ul>\n<li>Work directly with the search team to understand their offerings/domain and create data science products and solutions to solve for their use cases.</li>\n<li>Partner with our team lead for Recommendations and Personalization to help surface uniquely personalized content to each player.</li>\n<li>Collaborate closely with Machine Learning Engineers and Machine Learning Operations to deploy and monitor models.</li>\n<li>Coach and mentor other Data Scientists and Senior Data Scientists on the team, ensuring technical best practices and guiding stakeholder communication.</li>\n<li>Ensure sound methodology and experimental design, and guide the direction of each project from start to finish.</li>\n<li>Effectively communicate data science projects and products to stakeholders, including those with non-data science backgrounds.</li>\n</ul>\n<p><strong>What you need</strong></p>\n<ul>\n<li>6+ years of professional experience manipulating data sets, building statistical models and productizing models along with experience applying Data Science methodologies to real-world problems.</li>\n<li>Strong expertise in building, deploying, and testing search algorithms.</li>\n<li>Experience with deep learning.</li>\n<li>Experienced in analyzing extremely complex, multi-dimensional data sets with a variety of tools.</li>\n<li>Superior verbal, visual, and written communication skills to educate and work with cross-functional teams.</li>\n<li>Experience using Python, SQL, Hive, PyTorch/TensorFlow, and AWS/GCP.</li>\n<li>Experience guiding and mentoring more junior Data Scientists.</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_0d2fd881-aa1","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Lead-Data-Scientist-Search-Data-Insights-D-I/212463","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$138,700 - $199,900 CAD","x-skills-required":["data science","statistical modeling","data engineering","machine learning","deep learning","python","sql","hive","pytorch","tensorflow","aws","gcp"],"x-skills-preferred":["video games","game development","recommendations models"],"datePosted":"2026-02-19T19:04:00.842Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"data science, statistical modeling, data engineering, machine learning, deep learning, python, sql, hive, pytorch, tensorflow, aws, gcp, video games, game development, recommendations models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":138700,"maxValue":199900,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a4a28727-7ac"},"title":"Product Manager - Middle East Africa, Kingdom of Saudi Arabia","description":"<p>Opening.</p>\n<p><strong>What you&#39;ll do</strong></p>\n<p>As a Product Manager, you will be responsible for Valvoline Global Operations product portfolio in Middle East Africa, including Saudi Arabia. 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