We are hiring for a Principal Product Manager with a proven track record of building AI-driven, scalable advertising products that deliver measurable ROI for advertisers while ensuring the right level of targeting and controls to meet advertiser needs.
\nIn this role, you will own the vision, strategy, and roadmap for Microsoft Advertising's Smart Bidding products. You will partner closely with Data Science, Engineering, UX, Product Marketing, Legal, and Finance to design solutions that aim to maximize advertiser value.
\nMicrosoft'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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Deep AI/ML expertise with a proven ability to integrate AI-first thinking into strategy. Solid technical background (APIs, infrastructure, AI modeling). Track record of defining product vision that drives significant business impact. Expert stakeholder management and ability to influence senior leadership. Solid analytical skills with OKR/KPI definition and tracking experience. Go-to-market planning and product launch experience.
\nQualifications: Required Qualifications: Bachelor's Degree and 8+ years experience in product/service/program management or software development OR equivalent experience. Preferred Qualifications: Bachelor's Degree and 12+ years experience in product/service/program management or software development OR equivalent experience.
","enriched_at":1777993704300},{"id":"job_848dbb3f-7e7","title":"Principal Product Manager","source_url":"https://microsoft.ai/job/principal-product-manager-41/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We are hiring for a Principal Product Manager with a proven track record of building AI-driven, scalable advertising products that deliver measurable ROI for advertisers while ensuring the right level of targeting and controls to meet advertiser needs.
\nIn this role, you will own the vision, strategy, and roadmap for Microsoft Advertising's Smart Bidding products. You will partner closely with Data Science, Engineering, UX, Product Marketing, Legal, and Finance to design solutions that aim to maximize advertiser value.
\nMicrosoft'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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Deep AI/ML expertise with a proven ability to integrate AI-first thinking into strategy. Solid technical background (APIs, infrastructure, AI modeling). Track record of defining product vision that drives significant business impact. Expert stakeholder management and ability to influence senior leadership. Solid analytical skills with OKR/KPI definition and tracking experience. Go-to-market planning and product launch experience.
\nQualifications: Required Qualifications: Bachelor's Degree and 8+ years experience in product/service/program management or software development or equivalent experience. Preferred Qualifications: Bachelor's Degree and 12+ years experience in product/service/program management or software development or equivalent experience.
","enriched_at":1777993676319},{"id":"job_add78db1-e45","title":"Principal Product Manager","source_url":"https://microsoft.ai/job/principal-product-manager-40/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We are hiring for a Principal Product Manager with a proven track record of building AI-driven, scalable advertising products that deliver measurable ROI for advertisers while ensuring the right level of targeting and controls to meet advertiser needs.
\nIn this role, you will own the vision, strategy, and roadmap for Microsoft Advertising's Smart Bidding products. You will partner closely with Data Science, Engineering, UX, Product Marketing, Legal, and Finance to design solutions that aim to maximize advertiser value.
\nMicrosoft'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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Deep AI/ML expertise with a proven ability to integrate AI-first thinking into strategy. Solid technical background (APIs, infrastructure, AI modeling). Track record of defining product vision that drives significant business impact. Expert stakeholder management and ability to influence senior leadership. Solid analytical skills with OKR/KPI definition and tracking experience. Go-to-market planning and product launch experience.
\nQualifications: Required Qualifications: Bachelor's Degree and 8+ years experience in product/service/program management or software development or equivalent experience. Preferred Qualifications: Bachelor's Degree and 12+ years experience in product/service/program management or software development or equivalent experience.
","enriched_at":1777993634946},{"id":"job_19f32c7d-21a","title":"Principal Product Manager","source_url":"https://microsoft.ai/job/principal-product-manager-39/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"We are hiring for a Principal Product Manager with a proven track record of building AI-driven, scalable advertising products that deliver measurable ROI for advertisers while ensuring the right level of targeting and controls to meet advertiser needs.
\nIn this role, you will own the vision, strategy, and roadmap for Microsoft Advertising's Smart Bidding products. You will partner closely with Data Science, Engineering, UX, Product Marketing, Legal, and Finance to design solutions that aim to maximize advertiser value.
\nMicrosoft'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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities: Deep AI/ML expertise with a proven ability to integrate AI-first thinking into strategy. Solid technical background (APIs, infrastructure, AI modeling). Track record of defining product vision that drives significant business impact. Expert stakeholder management and ability to influence senior leadership. Solid analytical skills with OKR/KPI definition and tracking experience. Go-to-market planning and product launch experience.
\nQualifications: Required Qualifications: Bachelor's Degree and 8+ years experience in product/service/program management or software development or equivalent experience. Preferred Qualifications: Bachelor's Degree and 12+ years experience in product/service/program management or software development or equivalent experience.
","enriched_at":1777993625433},{"id":"job_cc032521-ca0","title":"Principal Applied Scientist - Auction & Bidding","source_url":"https://microsoft.ai/job/principal-applied-scientist-auction-bidding-3/","location":"Redmond","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms.
\nIn our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
\nWe are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.
","enriched_at":1777558175641},{"id":"job_e1298be1-53c","title":"Principal Applied Scientist - Auction & Bidding","source_url":"https://microsoft.ai/job/principal-applied-scientist-auction-bidding-4/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"The Ads Monetization Algo team at Microsoft Advertising focuses on optimizing ad performance for all advertisers in our ecosystem by bidding on their behalf in real-time auctions across our marketplaces. We are also responsible for designing and optimizing the auctions for the long term. All of these works are done through algorithm development, optimization, and experimental analysis of advertiser strategies and auction mechanisms.
\nIn our team, applied scientists work together and utilize all sorts of platforms, techniques, and approaches, including but not limited to mathematical modeling and optimization, machine learning, optimal control, game theory, and general economics and operations research. We build and develop both online stacks as well as offline workflows to support our algorithms. At its core, our team utilizes signals of user and advertiser intent as well as auction characteristics to determine in real-time or near-real-time which ads can enter the auctions. Our work directly impacts 10+ billion dollars in revenue annually.
\nWe are looking for a highly skilled applied scientist with development and management skills and a background in quantitative fields such as statistical machine learning, decision theory, operations research, optimization theory, mathematical modeling, data mining, causal inference, information retrieval, game theory, mechanism design, and optimal control. They will play a key role in driving algorithmic improvements to online and offline systems, developing and delivering robust and scalable solutions, making direct impacts on advertisers’ experience and the ad marketplace’s long-term health to collectively and continually increase the revenue for Microsoft Advertising.
","enriched_at":1777558171855},{"id":"job_197866e2-b7e","title":"Principal Customer Solutions Engineering","source_url":"https://microsoft.ai/job/principal-customer-solutions-engineering-2/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Make tomorrow better. That is the essence of roles within Microsoft Advertising. Our team partners directly with Microsoft owned and operated publishers to onboard, scale, and optimize first party advertising supply across some of the company's most visible properties, including MSN, Outlook, and Gaming experiences.
\nThis Principal Customer Solutions Engineering role sits at the intersection of Ad Tech, platform configuration, strategic operations, data analytics, experimentation, and partner advocacy. You will own the technical execution of our First-party supply along with First-Party and Third-Party demand integrations on our Microsoft Monetize and Advertising platforms,working hands on with inventory setup, OpenRTB specifications, troubleshooting delivery and reporting issues, and partnering closely with internal product, engineering, and business stakeholders to drive monetization outcomes.
\nWe are looking for a technically curious, highly strategic operations manager, passionate in data-driven decision-making, detail-oriented problem solver who enjoys working directly on ad platforms, untangling complex supply configurations, and helping partners succeed at scale.
\nMicrosoft'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.
\nResponsibilities:
\nOwn the end-to-end strategy, technical architecture, and operational health of first-party supply and demand integrations across the Microsoft Monetize platform, spanning display, native, and video, with accountability for scale, performance, and long-term marketplace sustainability.
\nSet the technical and operational strategy for supply configuration and policy enforcement, defining standards for publisher setup, inventory packaging, demand eligibility, and governance to ensure consistency, quality, and monetization efficiency at scale.
\nLead onboarding and lifecycle management for first- and third-party demand and supply partners, establishing integration requirements, certification criteria, and quality bars across OpenRTB, creative compliance, and auction behavior to protect marketplace integrity.
\nServe as the senior escalation point for complex monetization, delivery, and reporting issues, driving root-cause analysis across configuration, bid traffic, and marketplace dynamics, and influencing platform or policy changes where systemic gaps exist.
\nPartner deeply with senior stakeholders across Microsoft Advertising, Gaming, MSN, Outlook, and Sales to translate business priorities into platform strategy, ensuring technical execution aligns with revenue goals, publisher experience, and long-term monetization roadmaps.
\nDefine and drive scalable operating models for supply management, providing strategic guidance, documentation, and frameworks that enable teams and partners to execute consistently while reducing operational friction and dependency on bespoke support.
\nIdentify and lead cross-platform operational improvements, surfacing structural gaps, influencing product and engineering roadmaps, and establishing best practices for first-party monetization and supply optimization.
\nLeverage data, experimentation, and marketplace insights to shape strategy, analyzing supply performance, delivery trends, and monetization outcomes to inform configuration standards, prioritization decisions, and investment tradeoffs.
\nDrive program leadership across complex, cross-functional initiatives, setting vision and success metrics, aligning stakeholders, managing dependencies, and ensuring disciplined execution across 1P supply and monetization workstreams.
\nQualifications:
\nRequired Qualifications:
\nBachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 6+ years experience in technical program/product management, coding, software development/delivery work OR equivalent experience.
\n4+ years of customer-facing experience.
\nPreferred Qualifications:
\nBachelor's Degree in Computer Science, Engineering, Supply Chain, or related field AND 12+ years experience in technical program/product management, coding, software development/delivery work or internship experience OR equivalent experience.
\n4+ years of customer-facing experience.
\n5+ year(s) experience managing cross-functional and/or cross-team projects.
\n5+ years working in web analytics, big data, data science, preferably with ads platform and experimentation technologies.
\n3+ years experience in programming languages such as C, C#, C++, ASP.NET, Javascript.
\n5+ years experience in database querying using SQL.
\n5+ years experience with data analytics tools like R, Python, Excel, Tableau, SAS, or similar applications.
\n5+ years working in Ad Tech OR equivalent experience.
\nData driven and problem solving skills.
\nAd Tech fundamentals.
\nCore Competencies and problem solving qualities.
\nTechnical publisher set-up and priorities.
\nReal world discussion re: performance challenges.
","enriched_at":1777558146203},{"id":"job_16efbd52-dc7","title":"Senior Applied Scientist","source_url":"https://microsoft.ai/job/senior-applied-scientist-69/","location":"Bengaluru","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"The Crowd Intelligence Platform (CIP) team, part of the MAI platform organization, is building an AI-driven testing platform that ensures high quality for Microsoft AI products such as Bing, Copilot, MSN, and Edge,both pre-release and in production. The platform leverages Agentic AI to perform scalable, intelligent testing across diverse product surfaces.
\nWe are looking for a Senior Applied Scientist to help design, build, and scale AI-powered testing systems that can be applied generically across a wide range of cutting-edge MAI products. This role offers a unique opportunity to apply AI at scale to real-world product quality challenges and directly influence how MAI products are tested and improved.
\nResponsibilities: Build and scale AI-driven testing capabilities using LLMs, prompts, and agent-based workflows to validate MAI products across scenarios, geographies, and product surfaces. Design and optimize prompts, models, and agent behaviors to perform functional, quality, and experience-focused testing at scale. Collaborate closely with product and engineering teams across MAI and beyond to understand testing needs and translate them into efficient, AI-powered testing workflows. Develop metrics and evaluation frameworks to measure test quality, coverage, effectiveness, and signal accuracy across AI-driven testing pipelines. Create actionable outputs and insights (issues, summaries, trends, and recommendations) that product owners can directly consume to fix defects and improve product quality. Continuously evolve the platform toward more autonomous and agentic workflows, reducing manual effort while increasing depth and reliability of testing. Partner with engineers and platform teams to operationalize data science solutions in production, ensuring scalability, reliability, and performance.
\nQualifications: Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 7+ 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 5+ 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+ year(s) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. 4+ years of solid experience in Data Science, Applied AI, or Machine Learning, with a track record of building solutions that operate at scale. Hands-on experience with LLMs, prompt engineering, and/or agentic AI systems. Solid foundation in statistics, experimentation, and metrics design, especially for evaluating AI system quality. Experience working with data pipelines, model evaluation, and production systems. Ability to work across multiple product teams, influence without authority, and translate ambiguous testing needs into concrete AI solutions. Solid communication skills to explain complex AI outputs clearly to engineering and product stakeholders.
\nPreferred Qualifications: 3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers). 3+ year(s) experience developing and deploying live production systems, as part of a product team. 3+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
","enriched_at":1777558128648},{"id":"job_dd314b11-506","title":"Principal Product Manager - Privacy & Policy","source_url":"https://microsoft.ai/job/principal-product-manager-privacy-policy-3/","location":"Mountain View","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"Build the privacy products that make AI monetization trusted, durable, and scalable. On Microsoft’s AI Monetization Privacy & Policy Product Team, you’ll ship software that powers consent, transparency, controls, and privacy-preserving personalization across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK,so teams can move fast and meet the expectations of users, customers, and regulators.
\nYou’ll work where product craft meets real systems: identity, consent state, data flows, ranking/personalization, measurement, experimentation, and platform primitives. The output isn’t paperwork,it’s capabilities that teams adopt because they’re the fastest way to ship safely.
\nAs a Principal Product Manager – Privacy & Policy, you will own and drive major parts of our privacy product roadmap for AI monetization: building platform primitives and end-user experiences that enable compliant, high-performing personalization and measurement.
\nThis opportunity will allow you to (1) build deep ads/monetization and AI product intuition, (2) grow solid judgment on trust–revenue tradeoffs, and (3) learn how to scale product impact across multiple orgs through platforms and paved roads.
\nMicrosoft’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.
\nStarting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
\nResponsibilities:
\nOwn privacy product surfaces end-to-end (PRD → execution → launch → iteration): consent + sign-in pathways, transparency experiences, user controls, and per-surface data scopes across Microsoft AI monetization endpoints.
\nBuild and scale platform primitives (“paved roads”) for teams: APIs/SDKs for consent state, identity/data-scoping, enforcement hooks, logging/labeling, aggregation/truncation, and privacy-safe defaults that make compliant implementations the easiest path.
\nPartner deeply with engineering to ship runtime guardrails that are practical and measurable (e.g., sensitive-topic constraints, youth safety, AI disclosure/labeling signals, policy enforcement points), tuned for latency, reliability, and abuse resistance.
\nImprove personalization quality under privacy constraints: define product strategies that raise relevance/quality while respecting consent, purpose limits, and regional constraints; collaborate on ranking, retrieval, and measurement design.
\nInstrument what matters for trust + revenue: define metrics, telemetry, and experiments around consent rates, sign-in conversion, eligible addressable users, opt-out/retention, personalization lift, fill/yield impact, and revenue gaps vs. plan, with clear diagnostics and guardrail monitoring.
\nEnable privacy-safe partnerships through software capabilities: support clean-room / API / data-collaboration scenarios by building enforceable product controls (access, usage constraints, verification, auditing) rather than manual process.
\nDrive cross-org adoption and execution: align stakeholders across Ads, Bing, Copilot, Xbox, LinkedIn, and ABK; set crisp decision points; unblock tradeoffs; and deliver measurable outcomes on a multi-surface roadmap.
\nQualifications:
\nRequired Qualifications: Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.
\nPreferred Qualifications: Bachelor’s Degree AND 12+ years experience in product/service/program management or software development OR equivalent experience.
\nExperience shipping and iterating ads/monetization, personalization, measurement, identity, or large-scale consumer platform products.
\nDemonstrated ability to lead highly technical, cross-functional execution with engineering teams (APIs, telemetry, experimentation, reliability/SLOs).
\nSolid track record using data, experiments, and system-level reasoning to drive product decisions and measurable business impact.
\nExperience building privacy- or trust-related product capabilities (consent, transparency, controls, governance-by-platform, safety/guardrails).
\nFamiliarity with privacy and AI governance concepts (e.g., GDPR/UK GDPR, CPRA, DPIAs/TIAs) and how they translate into product and engineering requirements.
\nExperience with privacy-preserving approaches such as clean rooms, on-device processing, secure compute, differential privacy, aggregation/cohorting, or enforcement-as-code patterns.
\nProven ability to influence senior stakeholders across multiple orgs and drive platform adoption through solid UX/devex and clear value.
","enriched_at":1777558111797},{"id":"job_51e8e754-d9e","title":"Senior Applied Scientist","source_url":"https://microsoft.ai/job/senior-applied-scientist-68/","location":"Hyderabad","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"The Crowd Intelligence Platform (CIP) team, part of the MAI platform organization, is building an AI-driven testing platform that ensures high quality for Microsoft AI products such as Bing, Copilot, MSN, and Edge,both pre-release and in production.
\nWe are looking for a Senior Applied Scientist to help design, build, and scale AI-powered testing systems that can be applied generically across a wide range of cutting-edge MAI products. This role offers a unique opportunity to apply AI at scale to real-world product quality challenges and directly influence how MAI products are tested and improved.
\nResponsibilities:
\nQualifications:
\nPreferred Qualifications:
\n