Redmond, United States · Mountain View, United States

Principal Data Scientist

Location
Redmond, United States · Mountain View, United States
Job Number
200040667-en-1
City
Redmond, Mountain View
Team
Monetization
Country
United States
Discipline
Data Science
Overview

Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.

The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.

We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.

The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.

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.



Responsibilities
  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.


Qualifications

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.


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.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
  • Experience partnering with advertising, monetization, or marketplace organizations.
  • Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
  • Experience leading analytics for large-scale consumer products with millions of users.
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights.
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.


#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization



Data Science IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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Member of Technical Staff, Engineering Manager – Copilot Applications

Location
Mountain View, United States
Job Number
200036442-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits. 

 

About the Team 

We build the cross-cutting capabilities that shape the future of human-AI interaction. Our work spans modalities—text, voice, vision, action—and pushes the boundaries of what intelligence can do in people’s lives. We partner deeply with design, product, and applied AI to ship extraordinary experiences that define what Copilot becomes. The problems we solve don’t fit neatly into one layer of the stack or one corner of the org—which is exactly what makes them interesting. Our mandate is to make Copilot the essential AI companion: ubiquitous, always capable, always there. We’re building for a future where AI doesn’t just respond—it acts, creates, and orchestrates. 

  

About the Role 

We are seeking an Engineering Manger to help build revolutionary experiences at the intersection of modality and intelligence. The pace is fast. The ambiguity is high. You’ll ship things that millions of people use—and you’ll ship things that don’t exist anywhere else yet. 

If you want to work on well-scoped problems with clear answers, this isn’t the team. If you want to define the future of how humans and AI live and work together, come build with us. 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. 

 

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.



Responsibilities
  • Build and lead a team of fullstack engineers, including driving project planning, prioritization of work, and designing features
  • Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform
  • Make hands-on contributions to the codebase and infrastructure
  • Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements
  • Ship AI powered experiences that will shape how millions of people will interact with AI in the future
  • Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination
  • Embody our culture and values


Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, or related technical discipline 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.
 
Preferred Qualifications
  • Master’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 Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 6+ years people management experience.


Software Engineering M5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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

Software Engineering M6 – The typical base pay range for this role across the U.S. is USD $165,600 – $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.

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Principal Privacy Product Manager, Health AI

Location
New York, United States · Redmond, United States
Job Number
200043802-en-4
City
New York, Redmond
Team
Health
Country
United States
Discipline
Product Management
Overview

Microsoft AI is building the next generation of AI products for health, where privacy decisions carry profound implications for trust, safety, and product quality. Operating at the intersection of healthcare innovation and privacy means handling sensitive health and personal data at scale while navigating a complex, multi-jurisdictional legal and policy landscape.  

As a Principle Privacy Product Manager for our Health vertical within Microsoft AI, you will be the privacy architect for our health AI products like Copilot Health and frontier AI model development. You will work across engineering, clinical, and product teams to drive privacy strategy, define product controls, and lead implementation execution specific to health contexts. You will bring deep health data acumen to inform how we design, build, and operate AI systems that handle sensitive information. You will combine strong privacy and policy expertise with engineering muscle to ensure our health AI products are both innovative and trustworthy. 

We are searching for a Privacy Product Manager with deep health data and privacy expertise to lead execution of our health privacy strategy and partner with engineering to define scalable product controls across our portfolio. The right person combines user-rights judgment, health domain fluency, and technical depth to enable frontier health AI responsibly. 



Responsibilities
  • Be the privacy partner to health engineering, product, and clinical stakeholders, guiding privacy decisions across the end-to-end product experience, including feature design, user flows, defaults, and sensitive data use. 

  • Set and prioritize privacy controls for health AI scenarios, translate them into clear engineering requirements, and drive implementation and adoption across the lifecycle. 

  • Lead privacy design reviews for health AI features, including data handling, model behavior, and user-facing transparency and choice experiences. 

  • Own data governance expectations across the health product lifecycle, including collection, use, sharing, retention, and deletion. 

  • Monitor emerging health and data policy developments, assess product impact, and drive prioritized control or experience changes with product and engineering partners. 

  • Drive privacy program improvements through repeatable patterns, tooling recommendations, governance and effectiveness metrics, and engineering enablement. 



Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience 
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
  • 4+ years of practical experience creating and maintaining compliance programs and conducting privacy reviews. 

Preferred:

  • Bachelor’s degree in Computer Science or a closely related discipline
  • Experience translating policy and privacy requirements into shipped product controls in partnership with engineering. 

  • Experience leading privacy/compliance engineering programs for AI/ML products or other data-intensive platforms at scale. 

  • Hands-on familiarity with regulations related to health verticals, such as HIPAA, GDPR, and similar. 

  • Practical experience in health privacy, health policy, and/or health data governance. 

  • Working knowledge of health regulations and industry frameworks, including data sensitivity, governance expectations, and common privacy risk patterns. 

  • Hands-on experience with privacy engineering practices such as data flow mapping, data classification, consent infrastructure, threat modeling, DSR tooling, retention enforcement, and telemetry governance. 

  • Proven ability to lead ambiguous cross-functional work and influence senior leaders without authority, while communicating clearly to engineering and executive audiences. 

  • IAPP Certified Information Privacy Professional (CIPP) or Certified Information Privacy Manager (CIPM). 

  • Demonstrated team and project management excellence on medium-to-large scale projects, including managing scope, schedule, and budget.  






Product Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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Principal Privacy Product Manager, Health AI

Location
Redmond, United States · New York, United States
Job Number
200043802-en-3
City
Redmond, New York
Team
Health
Country
United States
Discipline
Product Management
Overview

Microsoft AI is building the next generation of AI products for health, where privacy decisions carry profound implications for trust, safety, and product quality. Operating at the intersection of healthcare innovation and privacy means handling sensitive health and personal data at scale while navigating a complex, multi-jurisdictional legal and policy landscape.  

As a Principle Privacy Product Manager for our Health vertical within Microsoft AI, you will be the privacy architect for our health AI products like Copilot Health and frontier AI model development. You will work across engineering, clinical, and product teams to drive privacy strategy, define product controls, and lead implementation execution specific to health contexts. You will bring deep health data acumen to inform how we design, build, and operate AI systems that handle sensitive information. You will combine strong privacy and policy expertise with engineering muscle to ensure our health AI products are both innovative and trustworthy. 

We are searching for a Privacy Product Manager with deep health data and privacy expertise to lead execution of our health privacy strategy and partner with engineering to define scalable product controls across our portfolio. The right person combines user-rights judgment, health domain fluency, and technical depth to enable frontier health AI responsibly. 



Responsibilities
  • Be the privacy partner to health engineering, product, and clinical stakeholders, guiding privacy decisions across the end-to-end product experience, including feature design, user flows, defaults, and sensitive data use. 

  • Set and prioritize privacy controls for health AI scenarios, translate them into clear engineering requirements, and drive implementation and adoption across the lifecycle. 

  • Lead privacy design reviews for health AI features, including data handling, model behavior, and user-facing transparency and choice experiences. 

  • Own data governance expectations across the health product lifecycle, including collection, use, sharing, retention, and deletion. 

  • Monitor emerging health and data policy developments, assess product impact, and drive prioritized control or experience changes with product and engineering partners. 

  • Drive privacy program improvements through repeatable patterns, tooling recommendations, governance and effectiveness metrics, and engineering enablement. 



Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience 
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
  • 4+ years of practical experience creating and maintaining compliance programs and conducting privacy reviews. 

Preferred:

  • Bachelor’s degree in Computer Science or a closely related discipline
  • Experience translating policy and privacy requirements into shipped product controls in partnership with engineering. 

  • Experience leading privacy/compliance engineering programs for AI/ML products or other data-intensive platforms at scale. 

  • Hands-on familiarity with regulations related to health verticals, such as HIPAA, GDPR, and similar. 

  • Practical experience in health privacy, health policy, and/or health data governance. 

  • Working knowledge of health regulations and industry frameworks, including data sensitivity, governance expectations, and common privacy risk patterns. 

  • Hands-on experience with privacy engineering practices such as data flow mapping, data classification, consent infrastructure, threat modeling, DSR tooling, retention enforcement, and telemetry governance. 

  • Proven ability to lead ambiguous cross-functional work and influence senior leaders without authority, while communicating clearly to engineering and executive audiences. 

  • IAPP Certified Information Privacy Professional (CIPP) or Certified Information Privacy Manager (CIPM). 

  • Demonstrated team and project management excellence on medium-to-large scale projects, including managing scope, schedule, and budget.  






Product Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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Principal Privacy Product Manager, Health AI

Location
Redmond, United States · New York, United States
Job Number
200043802-en-1
City
Redmond, New York
Team
Health
Country
United States
Discipline
Product Management
Overview

Microsoft AI is building the next generation of AI products for health, where privacy decisions carry profound implications for trust, safety, and product quality. Operating at the intersection of healthcare innovation and privacy means handling sensitive health and personal data at scale while navigating a complex, multi-jurisdictional legal and policy landscape.  

As a Principle Privacy Product Manager for our Health vertical within Microsoft AI, you will be the privacy architect for our health AI products like Copilot Health and frontier AI model development. You will work across engineering, clinical, and product teams to drive privacy strategy, define product controls, and lead implementation execution specific to health contexts. You will bring deep health data acumen to inform how we design, build, and operate AI systems that handle sensitive information. You will combine strong privacy and policy expertise with engineering muscle to ensure our health AI products are both innovative and trustworthy. 

We are searching for a Privacy Product Manager with deep health data and privacy expertise to lead execution of our health privacy strategy and partner with engineering to define scalable product controls across our portfolio. The right person combines user-rights judgment, health domain fluency, and technical depth to enable frontier health AI responsibly. 



Responsibilities
  • Be the privacy partner to health engineering, product, and clinical stakeholders, guiding privacy decisions across the end-to-end product experience, including feature design, user flows, defaults, and sensitive data use. 

  • Set and prioritize privacy controls for health AI scenarios, translate them into clear engineering requirements, and drive implementation and adoption across the lifecycle. 

  • Lead privacy design reviews for health AI features, including data handling, model behavior, and user-facing transparency and choice experiences. 

  • Own data governance expectations across the health product lifecycle, including collection, use, sharing, retention, and deletion. 

  • Monitor emerging health and data policy developments, assess product impact, and drive prioritized control or experience changes with product and engineering partners. 

  • Drive privacy program improvements through repeatable patterns, tooling recommendations, governance and effectiveness metrics, and engineering enablement. 



Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience 
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
  • 4+ years of practical experience creating and maintaining compliance programs and conducting privacy reviews. 

Preferred:

  • Bachelor’s degree in Computer Science or a closely related discipline
  • Experience translating policy and privacy requirements into shipped product controls in partnership with engineering. 

  • Experience leading privacy/compliance engineering programs for AI/ML products or other data-intensive platforms at scale. 

  • Hands-on familiarity with regulations related to health verticals, such as HIPAA, GDPR, and similar. 

  • Practical experience in health privacy, health policy, and/or health data governance. 

  • Working knowledge of health regulations and industry frameworks, including data sensitivity, governance expectations, and common privacy risk patterns. 

  • Hands-on experience with privacy engineering practices such as data flow mapping, data classification, consent infrastructure, threat modeling, DSR tooling, retention enforcement, and telemetry governance. 

  • Proven ability to lead ambiguous cross-functional work and influence senior leaders without authority, while communicating clearly to engineering and executive audiences. 

  • IAPP Certified Information Privacy Professional (CIPP) or Certified Information Privacy Manager (CIPM). 

  • Demonstrated team and project management excellence on medium-to-large scale projects, including managing scope, schedule, and budget.  






Product Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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Principal Privacy Product Manager, Health AI

Location
New York, United States · Redmond, United States
Job Number
200043802-en-2
City
New York, Redmond
Team
Health
Country
United States
Discipline
Product Management
Overview

Microsoft AI is building the next generation of AI products for health, where privacy decisions carry profound implications for trust, safety, and product quality. Operating at the intersection of healthcare innovation and privacy means handling sensitive health and personal data at scale while navigating a complex, multi-jurisdictional legal and policy landscape.  

As a Principle Privacy Product Manager for our Health vertical within Microsoft AI, you will be the privacy architect for our health AI products like Copilot Health and frontier AI model development. You will work across engineering, clinical, and product teams to drive privacy strategy, define product controls, and lead implementation execution specific to health contexts. You will bring deep health data acumen to inform how we design, build, and operate AI systems that handle sensitive information. You will combine strong privacy and policy expertise with engineering muscle to ensure our health AI products are both innovative and trustworthy. 

We are searching for a Privacy Product Manager with deep health data and privacy expertise to lead execution of our health privacy strategy and partner with engineering to define scalable product controls across our portfolio. The right person combines user-rights judgment, health domain fluency, and technical depth to enable frontier health AI responsibly. 



Responsibilities
  • Be the privacy partner to health engineering, product, and clinical stakeholders, guiding privacy decisions across the end-to-end product experience, including feature design, user flows, defaults, and sensitive data use. 

  • Set and prioritize privacy controls for health AI scenarios, translate them into clear engineering requirements, and drive implementation and adoption across the lifecycle. 

  • Lead privacy design reviews for health AI features, including data handling, model behavior, and user-facing transparency and choice experiences. 

  • Own data governance expectations across the health product lifecycle, including collection, use, sharing, retention, and deletion. 

  • Monitor emerging health and data policy developments, assess product impact, and drive prioritized control or experience changes with product and engineering partners. 

  • Drive privacy program improvements through repeatable patterns, tooling recommendations, governance and effectiveness metrics, and engineering enablement. 



Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience 
  • 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product)
  • 4+ years of practical experience creating and maintaining compliance programs and conducting privacy reviews. 

Preferred:

  • Bachelor’s degree in Computer Science or a closely related discipline
  • Experience translating policy and privacy requirements into shipped product controls in partnership with engineering. 

  • Experience leading privacy/compliance engineering programs for AI/ML products or other data-intensive platforms at scale. 

  • Hands-on familiarity with regulations related to health verticals, such as HIPAA, GDPR, and similar. 

  • Practical experience in health privacy, health policy, and/or health data governance. 

  • Working knowledge of health regulations and industry frameworks, including data sensitivity, governance expectations, and common privacy risk patterns. 

  • Hands-on experience with privacy engineering practices such as data flow mapping, data classification, consent infrastructure, threat modeling, DSR tooling, retention enforcement, and telemetry governance. 

  • Proven ability to lead ambiguous cross-functional work and influence senior leaders without authority, while communicating clearly to engineering and executive audiences. 

  • IAPP Certified Information Privacy Professional (CIPP) or Certified Information Privacy Manager (CIPM). 

  • Demonstrated team and project management excellence on medium-to-large scale projects, including managing scope, schedule, and budget.  






Product Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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Principal Software Engineer Manager

Location
Redmond, United States
Job Number
200033370-en-1
City
Redmond
Team
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Country
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Discipline
Software Engineering
Overview

Join our Web Data Platform Team as a Principal Software Engineering Manager to envision and build Web scale Platforms and SOTA models for semantic understanding of Multi Modal Documents.

In today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, harnessing additional richness to position it as the integral building block of AI solutions across the industry. If you’re passionate about building high-performance systems that are foundational in powering AI solutions, this is the place for you! In this role, you’ll play a key role in building large scale platforms that are at the core of Bing Search, AI Grounding and Microsoft AI training scenarios driving transformative scenarios powering 1B+ users.  Our platforms process tens of billions of documents per day.

We are looking for someone who is a proven technical leader and a seasoned people manager. You will be regularly expected to present technical/product strategy and Architectural choices to senior Leaders.

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.



Responsibilities
  • Manage a team of high-performing individuals to deliver product, features with agility and quality.
  • Provide hands-on technical leadership: architecture, design, code reviews, development, quality assurance. 
  • Lead by example to integrate AI first development in the team.
  • Partner with appropriate stakeholders to determine user requirements for a set of scenarios.
  • Drive identification of dependencies and the development of design documents for the platform.
  • Leads by example and mentor others to produce extensible and maintainable code used across products.
  • Leverages subject-matter expertise of cross-product features with appropriate stakeholders (e.g., program managers) to drive multiple group’s project plans, release plans, and work items.
  • Proactively seeks new knowledge and adapts to new trends, technical solutions and shares knowledge with other engineers.


Qualifications

Required Qualifications:

  • 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.


Preferred Qualifications:

  • Master’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 Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 6+ years people management experience.
  • Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis.
  • Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications.
  • Proficient analytical skills with systematic and structured approaches to software design.
  • Deeper understanding of AI Models.
  • Committed collaboration and communication around articulating technical details.


#MicrosoftAI



Software Engineering M6 – The typical base pay range for this role across the U.S. is USD $165,600 – $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.

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Principal Software Engineer

Location
Redmond, United States
Job Number
200040910-en-1
City
Redmond
Team
Search
Country
United States
Discipline
Software Engineering
Overview

Join the “Microsoft AI Web Data Platform Team” as a Principal Software Engineer, in a technical leadership capacity, to architect platforms and deliver Internet scale web documents, with full richness to Ground LLMs for 1st party Copilots and 3rd party AI solutions.

In this role, you’ll play a key role in building large scale platforms that are fundamental to Bing Search, AI Grounding and Microsoft AI training driving transformative scenarios powering massive scale of users while processing tens of billions of documents per day and managing hundreds of petabytes of data. A suitable candidate will bring a blend of expertise in large-scale data platforms & AI.

In today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, harnessing additional richness to position it as the integral building block of AI solutions across the industry. If you’re passionate about building high-performance systems that shape the future of data platforms that power AI solutions, this is the place for you!

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.



Responsibilities
  • Align team efforts with business and user requirements by collaborating with stakeholders to define priorities, resolve dependencies, and ensure delivery of well-documented design and implementation plans for products, applications, services, or platforms.
  • Guide system design and architectural decisions across multiple components, encouraging the use of data and telemetry to make informed decisions.
  • Drive engineering excellence by fostering a culture of building modular, secure, reliable, testable, maintainable, and reusable solutions, while promoting active monitoring practices.
  • Establish quality assurance strategies by setting standards for improving test coverage, streamlining integration testing, and addressing critical problem areas proactively.
  • Oversee and improve operational reliability, guiding efforts to troubleshoot and optimize automation, monitoring, and Live Site health. 


Qualifications

Required Qualifications:

  • 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.
Preferred Qualifications:
  • Master’s Degree in Computer Science or related technical field AND 10+ 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 large-scale distributed data platforms, such as: Apache Spark, Kafka, Columnar storage, data modeling and schema designs.
  • Experience as a technical lead/Architect.
  • Experience in large scale system architecture, design, development, testing, and release, including but not limited to web applications, microservices in layers, database design, API design, performance tuning, telemetry design and analysis.
  • Demonstrated programming skills and knowledge of architectural patterns for large, high-scale applications.
  • Experience in ML/AI.
  • Proficient analytical skills with systematic and structured approaches to software design.
  • Fluent communication skills to articulate technical details.
  • Ability to navigate cross-organization to influence stakeholders.

#MicrosoftAI #BING



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $165,600 – $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.

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Member of Technical Staff – Privacy Engineer, Health

Location
London, United Kingdom
Job Number
200042941-en-2
City
London
Team
Health
Country
United Kingdom
Discipline
Software Engineering
Overview

Microsoft AI (MAI) is building consumer health experiences – including Copilot Health – that bring trustworthy, AI-powered guidance to millions of people. Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code. 

We are looking to hire our engineering team’s anchor for all things privacy, compliance, and regulatory. This is a senior individual-contributor role for a hands-on engineer who can set technical direction, build privacy-preserving systems, and serve as the trusted point of contact who keeps our products on the right side of a fast-evolving regulatory landscape. You will work at the intersection of privacy engineering, health technology, and applied AI – partnering closely with product, security, legal, and compliance to make privacy-by-design the default rather than an afterthought. 

If you are energized by hard problems where protecting people and shipping great products are equally non-negotiable, this role offers outsized impact on how responsible AI in health is built. 



Responsibilities
  • Be the primary point of contact for privacy, compliance, and regulatory matters within the engineering team – the person product and engineering turn to for guidance, design review, and decisions. 

  • Ensure products such as Copilot Health are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design into architecture from the outset. 

  • Translate complex health and data-protection regulations – including UK and EU GDPR, HIPAA, and the EU AI Act – into concrete technical requirements, engineering guardrails, and automated, continuously verifiable controls. 

  • Lead privacy and security design reviews and threat modeling for new features and models, identifying risks early and architecting practical, scalable mitigations. 

  • Design and build foundational privacy infrastructure: data classification, policy-driven access controls, consent and preference management, audit logging, data lineage, and retention and lifecycle controls. 

  • Evaluate and apply privacy-enhancing technologies – such as differential privacy, de-identification, secure enclaves, and federated approaches – where they meaningfully reduce risk to users. 

  • Build reusable libraries, patterns, and tooling that let every engineer ship privacy-preserving features by default, and raise the team’s privacy and compliance fluency through mentorship and clear standards. 

  • Partner across legal, compliance, security, and product to balance strong user protections with product velocity, and to support audits, certifications, and regulator-facing evidence. 

  • Stay ahead of emerging health-privacy regulation and industry practice, bringing that perspective into roadmaps before requirements become blockers. 



Qualifications

Required qualifications 

  • Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection. 

  • Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems. 

  • Demonstrated ability to translate privacy and regulatory requirements (such as GDPR or HIPAA) into technical designs and enforceable controls. 

  • Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management. 

  • Experience conducting privacy and security reviews, threat modeling, and risk assessments. 

  • Excellent cross-functional communication – able to influence product, engineering, legal, and compliance stakeholders and explain trade-offs clearly. 

  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. 

Preferred qualifications 

  • Experience in health technology (strongly preferred), or in another highly regulated industry such as financial services, government, or insurance (acceptable). 

  • Familiarity with health-data standards and governance frameworks (e.g., HIPAA, HITRUST, ISO 27001/27701, NHS data governance, FHIR and clinical data handling). 

  • Practical experience applying privacy-enhancing technologies – differential privacy, anonymization/de-identification, secure enclaves, or federated learning. 

  • Experience with AI/ML systems and the privacy considerations of training and inference on sensitive data. 

  • Experience with cloud platforms (Azure preferred) and large-scale data systems. 

  • Relevant certifications such as CIPP/E or CIPT. 



Software Engineering IC5 – The typical base pay range for this role across United Kingdom is £ 93,500.00 – £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html


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.

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Location
Redmond, United States
Job Number
200002833-en-1
City
Redmond
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure.

 

This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.

 

We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams.

You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.

 

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.



Responsibilities
  • Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
  • Design data models and APIs that enable Copilot to reason about user context, preferences, and history
  • Build real-time and batch personalization engines that adapt Copilot’s behavior.
  • Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
  • Optimize for performance, reliability, and cost across diverse workloads and geographies.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Embody our Culture and Values.  


Qualifications

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.
  • 6+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.

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 large scale data systems.
  • Experience working with AI platforms, frameworks, and APIs.  
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.  
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.  
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. 
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

 

 #MicrosoftAI #Copilot



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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.

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