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.

This 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.

We 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.

Microsoft’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.  

Starting 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.

• Own 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.
• Set 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.
• Lead 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.
• Serve 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.
• Partner 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.
• Define 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.
• Identify 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.
• Leverage 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.
• Drive 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.

Required Qualifications:

• Bachelor’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.
• 4+ years of customer-facing experience. 
  
  Preferred Qualifications:
• Bachelor’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.
• 4+ years of customer-facing experience.
• 5+ year(s) experience managing cross-functional and/or cross-team projects. 
• 5+ years working in web analytics, big data, data science, preferably with ads platform and experimentation technologies. 
• 3+ years experience in programming languages such as C, C#, C++, ASP.NET, Javascript.  
• 5+ years experience in database querying using SQL.  
• 5+ years experience with data analytics tools like R, Python, Excel, Tableau, SAS, or similar applications.  
• 5+ years working in Ad Tech
  • OR equivalent experience. 
• Data driven and problem solving skills. 
• Ad Tech fundamentals. 
• Core Competencies and problem solving qualities. 
• Technical publisher set-up and priorities. 
• Real world discussion re: performance challenges. 

#MicrosoftAI 

Customer Solutions Architecture IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Collaborate with cross functional teams to understand data requirements and deliver high quality data solutions. 
• Develop and optimize data models to support data analytics. 
• Utilize advanced analytics techniques to extract insights from large datasets and drive data driven decision making. 
• Implement data validation frameworks and monitoring systems to detect and resolve data quality issues. 
• Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery 
• Work with a security-first mindset, focusing on system scalability and maintainability. 
• Coach and mentor peers and emerging team members while advocating for best practices.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master’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 Bachelor’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 equivalent experience.
• 3+ years experience in business analytics, data science, software development, data modeling or data engineering work
• Solid experience with data processing frameworks such as Apache Spark, Hadoop. 
• Expertise in SQL and experience with RDBMS, Key Value stores. 
• Familiarity with cloud platforms and data services. 
• Excellent problem solving skills and the ability to work independently and as part of a team. 
• Solid communication skills.
• Familiarity with Azure. 
• Experience with machine learning and data science tools and frameworks. 
• Knowledge of data visualization tools (e.g., Tableau, Power BI). 
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

#MicrosoftAI 

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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. In 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.

We 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.

Microsoft’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.  

Starting 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.

• Designing, implementing, and analyzing bidding strategies using techniques from optimization, control theory.
• Designing, prototyping, and analyzing different auction mechanisms given specific product area.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.
• Designing automation algorithms for advertisers using techniques from AI and ML to improve advertisers’ return on investment.
• Implementing methods for optimizing the marketplace at the large scale.
• Developing models for causal reasoning using techniques from AI, ML, and statistics.

Required Qualifications:

• 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.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 8+ years of experience developing and deploying live production systems, as part of a product team.
• 3 Years of experience in Auto-Bidding or Auction Design.

#MicrosoftAI 

Applied Sciences IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft AI (MAI) builds an integrated consumer AI ecosystem across search, browsing, and content, focused on delivering trustworthy, scalable experiences with durable user and business value. The MAI Growth and Analytics Team owns MAI wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high confidence decisions and optimize MAI level outcomes. 

We are seeking a Principal Data Scientist to drive Microsoft Content measurement strategy and partner across product and business. Given the efficiency improvement brought from AI, the candidate must drive the AI into Analytics System to improve efficiency and automate deep analysis for non-data scientist roles.

Microsoft’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.  

Starting 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.

• Leadership: Mentor data scientists to drive Microsoft Content product analysis and provide insights. At the same time, drive the AI Agents into Data Analysis to improve efficiency and enable data analysis for people with limited data knowledge.
• Collaboration: Partner closely with Microsoft Content Dev/PM Team and data scientists from other Product (Edge, Copilot, Ads and Search.)
• Data Strategy & Execution: Develop Agent for data analysis across Microsoft Content Org. Provide daily analysis, including standardized data collection, analysis, reporting, and interpretation; validate analytical approaches and results.
• Advanced Analytics & Measurement: Apply LLM based AI skills, statistical modeling, data mining, and experimentation to large datasets; define and deliver metrics that accurately measure user and business.  
• Experimental Design & Implementation: Design and execute experiments across user and demand dimensions; translate strategy into clear, actionable, and measurable plans, sharing progress and results with stakeholders.  
• Influence & Decision-Making: Engage stakeholders with clear, compelling, and actionable insights; make independent decisions for the team and handle complex tradeoffs to drive product and service improvements.  
• Technical & Operational Leadership: Develop and standardize AI Agents for data analysis across the whole Microsoft Content and expand to other Product Org.  
• Standards & Trusted Advisory: Establish and uphold standards, policies, and best practices for high-quality, efficient, and extensible code; influence business, customer, and solution strategy with a solid customer focus; act as a trusted advisor.

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
• 6+ years of experience in at least one of programming languages like Python/C#/Java. 
• Great organizational, analytical, data science skills and intuition.   
• Fantastic problem solver: ability to solve problems that the world has not solved before.   
• Interpersonal skills: cross-group and cross-culture collaboration.   
• Experience with real world system building and data collection, including design, coding and evaluation.   
• Excellent communication to be able to communicate insights to senior leaders. 
• Experience with driving large collaboration across multiple teams.  
• Experience with communicating with different audiences to provide insights.
• Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.  

#MicrosoftAI 

Data Science IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Ads Data Management Platform team is seeking Applied Scientists to elevate the quality of User Identity graph as it scales across all MAI surfaces including copilot driving measurable impact in ads personalization, audience targeting, and measurement, and unlocking richer user insights across Microsoft Advertising. 

Microsoft Advertising empowers the world’s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking a highly skilled and experienced Applied Data Scientist to join our dynamic team. The ideal candidate will have a solid background in data science, machine learning and advanced analytics with a proven track record of developing predictive models, conducting rigorous data analysis and translating complex data into actionable insights that drive business impact. As an Applied Data Scientist, you will play a key role in driving our data strategy by designing and implementing statistical models and data driven experiments. You will ensure the integrity, reliability and quality of large scale datasets while building predictive models and analytical frameworks that inform product development and unlock new business opportunities. 

Microsoft’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.  

Starting 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.

• Gain expertise in a building identity graphs including applicable research techniques. Build deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.
• Review business requirements and incorporate research to meet business goals.
• Provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

Required Qualifications:

• Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master’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 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.
• 3+ years experience conducting research as part of a research program (in academic or industry settings).
• 1+ year(s) experience developing and deploying live production systems, as part of a product team.
• 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• Experience with developing graph based identity models to perform cross device user stitching, applying deterministic and probabilistic matching algorithms to construct large-scale identity graphs.

#MicrosoftAI

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Our team—affectionately known as the Deviation Detectives—plays a critical role in protecting the health and integrity of the Microsoft Ads marketplace. This role is designed for a senior individual contributor (Principal Technical Program Manager) who thrives in highly ambiguous, data‑rich environments and is motivated by solving complex, high‑impact problems at scale.

This opportunity offers a unique blend of hands‑on data work and strategic technical leadership. You will lead deep‑dive investigations, shape how the organization monitors and responds to marketplace anomalies, and influence partner teams across Ads, Bing, Edge, and Windows. Success in this role requires solid technical judgment, operational excellence, and the ability to drive outcomes across organizational boundaries.

The Mission: Make tomorrow better.

That is the essence of roles within our Microsoft Ads team. Every day, we bring deep curiosity and technical rigor to reimagine what is possible. Microsoft Ads is a sustainable, multi‑billion‑dollar business, and the Microsoft Ads platform is its economic engine. This team helps ensure that engine runs safely, efficiently, and resiliently—at global scale.

About the Team

The Microsoft Ads Live Marketplace & Forensics team is a group of experienced program managers and applied data scientists with a solid Live Site First mindset. We are responsible for monitoring, diagnosing, and resolving marketplace anomalies that impact advertisers, publishers, users, and Microsoft revenue.

We:

• Monitor hundreds of business and system metrics globally, 24×7
• Investigate deviations and anomalies across advertisers, publishers, users, and core system components
• Connect signals across seemingly unrelated data sources to uncover root causes
• Drive coordinated, cross‑organization resolution efforts across time zones
• Lead post‑incident learnings to prevent recurrence and improve system resilience

Our culture of continuous learning, customer obsession, and operational excellence is recognized at the highest levels of Microsoft leadership. We are proud pioneers of this mindset.

Microsoft’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.  

Starting 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.

• Lead complex, ambiguous investigations into marketplace deviations by analyzing business performance, advertiser behavior, user signals, and system health metrics across the Microsoft Ads ecosystem.
• Perform advanced data analysis across multiple large‑scale data sources to connect disparate signals and generate actionable insights.
• Serve as the technical and operational lead for high‑severity marketplace issues, driving structure, clarity, and accountability during live‑site events.
• Coordinate end‑to‑end mitigation of issues by partnering with engineering, product, data science, finance, and business teams globally.
• Drive continuous improvement of marketplace monitoring, anomaly detection, and investigation frameworks, including identifying gaps in tooling, data coverage, or automation.
• Lead deep root‑cause analyses and post‑incident reviews, ensuring learnings translate into durable fixes and long‑term prevention strategies.
• Influence best practices for incident response, operational rigor, and marketplace health management across teams.
• Participate in an on‑call rotation (approximately once every 8–10 weeks), acting as the primary point of contact during critical marketplace incidents.
• Mentor and guide other individual contributors by sharing investigation approaches, technical insights, and operational best practices.

Required Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.
• 7+ years of experience in technical program management, engineering, data analysis, data science, or product development.
• 5+ years of experience leading cross‑functional and/or cross‑team initiatives involving complex systems and multiple stakeholders.
• 5+ years working in web analytics, big data, or data science, preferably within advertising platforms or experimentation‑driven environments.
• 3+ years of experience with programming languages such as C, C#, C++, ASP.NET, or JavaScript, sufficient to reason about system behavior and data flows.
• 5+ years of experience querying large datasets using SQL.
• 5+ years of experience using analytics tools such as Python, R, Excel, Tableau, SAS, or similar technologies.
• Solid understanding of distributed systems and complex platforms, with a demonstrated service and business operations mindset.
• Excellent written and verbal communication skills, with the ability to drive alignment and action across technical and non‑technical audiences.
• Experience working in Advertising Technology (Ad Tech) or other large‑scale online marketplace platforms.
• Experience designing or evolving monitoring systems, anomaly detection frameworks, or live‑site operational processes.
• Proven ability to communicate complex technical findings and recommendations to senior and executive stakeholders.

#MicrosoftAI 

Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

The Microsoft Content Product team is seeking a Manager-Applied Sciences/Machine Learning (ML) to lead our Core Recommendation and Content Generation team. This is an exciting opportunity to shape the future of content services at Microsoft. Our vision is to enable billions of users worldwide to discover meaningful content and engage in conversations with friends, family, and colleagues.

With nearly 1 billion monthly active users on Windows, and hundreds of millions more across Outlook, Teams, Edge, and Bing—as well as solid third-party partnerships—this role offers a unique opportunity to drive impactful, large-scale user engagement globally.

We are looking for a leader who can combine deep expertise in LLMs and NLP with proven experience in people leadership. This role is ideal for someone who wants to guide teams building state-of-the-art AI systems, influence product direction, and deliver scalable solutions that improve how users discover and interact with content across Microsoft platforms.

Microsoft’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.  

Starting 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.

• Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering.
• Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation.
• Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration.
• Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production.
• Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact.
• Champion innovation in AIGC applications, ranking, and recommendation algorithms.
• Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning.
• Communicate progress, insights, and strategy to senior leadership and stakeholders.

Required Qualifications:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ 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 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years of people management experience.

Preferred Qualifications:

• Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles.
• Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems.
• Proven track record of delivering large-scale, production-grade ML systems.
• Experience leading or owning critical projects in recommendation systems or AIGC scenarios.
• Proficiency in programming languages such as C/C++, C#, Java, and/or Python.
• Demonstrated experience managing and growing ML teams, including performance management and career development.
• Solid expertise in deep learning frameworks such as TensorFlow or PyTorch.
• Experience with LLM fine-tuning, evaluation, and real-world product deployment.
• Experience leading projects through full product lifecycle, from concept to launch and iteration.
• Background in distributed systems and large-scale data processing.
• Solid foundation in data structures, algorithms, and system design.
• Experience with large-scale data analytics tools such as Spark.

#MicrosoftAI #machinelearning #ai #llm #aiagent

Applied Sciences M6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Microsoft Ads 3rd Party Ads Solutions and Data Management Platforms is building the next innovative platform for AI-driven advertising. Our team empowers internal engineering teams through secure, scalable, and cost-effective on-prem and cloud infrastructure solutions. We are looking for a Senior Software Engineer who will help us maintain and evolve foundational Kubernetes and Azure platform capabilities that enable the Xandr on-prem to Azure migration to complete on time and ensure the resulting platform is stable, secure, and maintainable over the long term. 

As part of the Platform Engineering team, you will partner with engineering teams, architects, and product groups to design, implement, and evangelize cloud and Kubernetes platform best practices, all while staying curious and open to trying new ideas. 

Microsoft’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.  

Starting 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.

• Leads Infrastructure Design and Architecture: Analyze and understand challenges in on-prem and Azure platform and infrastructure solutions. Develop and build durable solutions for present and future states. Own the technical approach to create and improve architecture. Deeply understand evolving security risk, security research, and security tradeoffs associated with engineering patterns and approaches. 
• Guide cross-functional teams through architectural discussions and decision-making for solution components, including design, compliance, scaling, and cost considerations. 
• Develop and present architecture and design proposals: lead the testing and validation of hypotheses and proposed solutions. 
• Drive AKS enablement and workload onboarding: Support engineering teams transitioning to AKS by driving standardized onboarding tools, pipelines, Terraform modules, runbooks, and migration guides, and providing hands-on guidance. 
• Drive cross-cutting platform initiatives: Partner across teams to enable testing, workload certification, and migration programs and unblock adoption at scale. 
• Author Well-Designed, Scalable, Reliable Code: Author thoughtful, well-designed infrastructure code, including libraries for essential platform functions, proof-of-concept code, and bugs or foundational changes. Effectively share findings from technical investigations. 
• Collaborate with Partner Teams: Collaborate with the broader product engineering and product teams to understand product and platform architecture and develop thoughtful infrastructure improvements. 
• Lead the creation of design documentation: determine appropriate technologies and their interactions. Facilitate and contribute to design discussions, ensuring alignment across teams and incorporating learnings from prior work. 
• Nurture Talent: Mentor other engineers throughout the design and testing process. 
• Embody our culture and values. 

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

Preferred Qualifications:

• Master’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 Bachelor’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 equivalent experience.
• 4+ years of experience designing, building, and operating developer productivity, CI/CD, or release engineering systems, including significant experience with Microsoft Azure (or AWS/GCP with strong Azure proficiency) and Infrastructure as Code such as Terraform or Bicep.
• Strong proficiency in modern CI/CD and release engineering practices, including building, operating, and evolving pipelines using tools such as Azure DevOps Pipelines (strongly preferred), Jenkins, Concourse, GitHub Actions, CircleCI, Spinnaker, or ArgoCD. Experience owning and supporting CI/CD pipelines used by multiple engineering teams, providing shared templates, guardrails, security, and reliability at scale.
• Experience operating large-scale, globally distributed, highly available, 24/7 systems, with a focus on release reliability, security, and operational excellence.
• Proficiency in modern software development practices, including code review, testing, release validation, and operational readiness, using languages such as Go, Python, or TypeScript.
• Demonstrated ability to drive architectural direction across teams, influence technical decisions around build and release systems, and translate ambiguous requirements into scalable, durable release platforms.
• Excellent written and verbal communication skills, including the ability to explain complex release, reliability, and automation concepts to diverse audiences.
• Hands-on experience designing and maintaining shared infrastructure and tooling ecosystems, such as reusable Terraform modules, pipeline templates, and onboarding toolchains that improve developer velocity, experience, consistency, and security across teams.

#MicrosoftAI

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
  • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

• Collaborate with stakeholders to determine user requirements for Advertiser Copilot features.
• Drive the design and development of scalable and secure platforms, ensuring high performance and maintainability.
• Implement and optimize AI-driven workflows, ensuring efficiency and effectiveness.
• Lead technical discussions, identify dependencies, and develop design documents.
• Act as a Designated Responsible Individual (DRI), monitoring system reliability and resolving complex issues in real-time.
• Mentor engineers in the team. 
• Continuously learn and adapt to emerging technologies, improving system availability, reliability, and performance.

Required Qualifications:

• Bachelor’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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Preferred Qualifications:

• Master’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.
• Experience with Azure/AWS and Kubernetes for container orchestration and deployment.
• Proficiency in REST API development, ensuring secure and scalable communication between systems.
• Experience with Semantic Kernel or other AI integration frameworks.
• Proven ability to build and maintain large-scale, high-availability systems in Kubernetes.
• Solid collaboration skills, working effectively with cross-functional teams including AI researchers and UX designers.
• Passion for staying updated with the latest advancements in Generative AI and cloud technologies.
   

#MicrosoftAI #MAI #MicrosoftAds #Generative-AI #AIAgents #MultiAgent #LLMs

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.