Overview


Responsibilities


Qualifications

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

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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.

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.

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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.

Overview

We have an opportunity to fundamentally rethink the software that people use most: the browser. Every day, billions of people open a browser because they want something. They want to buy something, learn something, get something done, figure something out. The browser is where intent becomes action.

For decades, that journey has been mostly unchanged: you search, you click, you read, you navigate. AI changes the fundamental equation. The distance between what someone wants and what they actually accomplish can shrink dramatically — and the browser is where that happens for billions of people.

We’re looking for a Principal Product Manager who sees that opportunity clearly and has the conviction and the hands to go build it. Someone who invents on behalf of customers rather than waiting to be told what they want. Someone who thinks about AI not just as a set of features to add, but as the means by which we rethink the whole product on behalf of the people who use it every day. The role is yours to define. The surface area is massive. The moment is now.

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

• Own the AI-native product strategy for Microsoft Edge, defining how AI collapses the distance between what people want and what they can accomplish — across research, tasks, decisions, and everything else people bring to their browser.
• Invent on behalf of billions of users: form solid, well-reasoned convictions about what people need before they can articulate it themselves, and build toward that vision.
• Turn frontier AI capabilities into experiences customers actually want to use, not demos that impress in a conference room and disappear six months later.
• Run fast, hypothesis-driven experimentation cycles across new AI interaction patterns and UI flows; let real usage data sharpen your convictions.
• Partner with research teams to identify model advances with real customer value and move them from research to shipped product.
• Work with data science and growth teams to ensure AI-powered features reach and retain the users who need them most.
• Set clear direction in ambiguous spaces, make tradeoffs visible to leadership, and drive alignment across partner teams.
• Operate as a senior IC: coach PMs on adjacent workstreams, unblock critical path items, and hold a high bar for what “done” means.

Qualifications

Required Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 5+ years shipping consumer products at meaningful scale.
• 3+ years building products with large language models, agentic AI, or similar frontier AI technologies.
• You have built a product from 0 to launch with your own hands. Not contributed to someone else’s initiative — owned it, defined the scope, recruited the help, made the calls, and shipped it.
• A track record of turning complex, ambiguous technical capabilities into products customers love and return to.
• Ability to lead and align multiple teams through long, cross-functional delivery cycles.
• Solid product intuition and the conviction to act on it, even when the data is incomplete.
• Familiarity with prompting patterns, RAG, agentic frameworks, or eval-based quality measurement.
• Experience with browser technologies, web platform, or Chromium-based products.
• A genuine interest in emerging AI research and a habit of thinking beyond established playbooks.
• Experience working with geographically distributed engineering teams.

#MicrosoftAI 

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.

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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.

Overview

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,

• You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
• You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.
• You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents

 

Bing Location Understanding and Geocoding team – (Redmond, WA)

The Bing Location Understanding (BLU) and Bing Geocoding (BingGC) teams build the core intelligence that powers location interpretation, address understanding, and geospatial reasoning across Bing, Maps, and downstream Microsoft experiences. Our systems operate at global scale and combine machine learning, natural language understanding, ranking, and large‑scale data processing to deliver high‑quality results in real time.

Responsibilities

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
• Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
• Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
• Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
• Drive technical direction within your problem space and influence broader modeling and platform decisions
• Document and communicate results through technical design reviews, papers, and patent filings

Qualifications

Preferred Qualifications: 

• Master’s degree or PhD in a relevant technical field
• 4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning)
• Proven expertise in machine learning, statistical methods, and data‑driven problem solving
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
• Understanding of experimentation methodologies, including offline metrics and online A/B testing
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments
• Strong collaboration skills and experience working with engineering and product partners
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences

 

• Background in search, information retrieval, knowledge graphs, or local/entity understanding
• Track record of publications or granted/pending patents
• Familiarity with distributed training, model optimization, and production ML infrastructure
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations

Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $102,100.00 – $202,200.00 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 $133,800.00 – $219,200.00 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.

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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.

Overview

The Bing Places team is building intelligence that powers local search experiences used by millions of people every day. We are looking for Applied Scientists to help design, build, and ship advanced AI and machine learning solutions—spanning large language models (LLMs), retrieval augmented generation (RAG), learning‑to‑ranking, and entity understanding—to deliver high‑quality, trustworthy local search experiences at scale.

As an Applied Scientist on Bing Places,

• You will work on challenging problems that require deep technical expertise and a strong focus on real‑world impact.
• You will work end‑to‑end: from problem formulation and data analysis, through model development and experimentation, to production deployment and live flighting.
• You will collaborate closely with engineering and product partners to develop, experiment with, and ship models that operate at Microsoft scale, while contributing to the broader scientific community through publications and patents

 

Bing Location Understanding and Geocoding team – (Redmond, WA)

The Bing Location Understanding (BLU) and Bing Geocoding (BingGC) teams build the core intelligence that powers location interpretation, address understanding, and geospatial reasoning across Bing, Maps, and downstream Microsoft experiences. Our systems operate at global scale and combine machine learning, natural language understanding, ranking, and large‑scale data processing to deliver high‑quality results in real time.

Responsibilities

• Formulate complex product and engineering problems as machine learning and AI tasks, and drive them from concept through production
• Design, implement, and evaluate ML‑ and LLM‑based models that improve Bing Places quality, relevance, and coverage
• Conduct rigorous data analysis to understand system behavior, identify opportunities, and define success metrics
• Prototype new modeling approaches and iterate quickly based on offline evaluation and online experimentation
• Own experimentation pipelines, including offline validation and large‑scale online A/B flighting
• Partner closely with engineers to integrate models into production systems and ensure long‑term reliability and performance
• Drive technical direction within your problem space and influence broader modeling and platform decisions
• Document and communicate results through technical design reviews, papers, and patent filings

Qualifications

Preferred Qualifications: 

• Master’s degree or PhD in a relevant technical field
• 4+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning)
• Proven expertise in machine learning, statistical methods, and data‑driven problem solving
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
• Understanding of experimentation methodologies, including offline metrics and online A/B testing
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments
• Strong collaboration skills and experience working with engineering and product partners
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences

 

• Background in search, information retrieval, knowledge graphs, or local/entity understanding
• Track record of publications or granted/pending patents
• Familiarity with distributed training, model optimization, and production ML infrastructure
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations

Applied Sciences IC3 – The typical base pay range for this role across the U.S. is USD $102,100.00 – $202,200.00 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 $133,800.00 – $219,200.00 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.

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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.

Overview

Join our innovative Web Data Platform Team as a PrincipalSoftware Engineer and help us revolutionize the future of web document processing and rendering!

At Web Data Document Processing & Rendering team, you’ll play a key role in building cutting-edge batch and streaming systems as part of our platform that powers Bing Search and Microsoft AI training scenarios, empowers data scientists to seamlessly integrate their machine learning models, driving transformative insights at massive scale. Here you will be working with eye-popping scales, processing tens of billions of documents per day and managing hundreds of petabytes of data. The opportunity to make an impact on millions of users with each feature you ship is truly motivating.  

In today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, scaling it even further to unlock new possibilities and serve a growing array of use cases and customers. If you’re passionate about building high-performance systems that shape the future of data processing, 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

• Design and develop large-scale distributed software services and solutions following modern software engineering practices through design and code reviews.
• Collaborate with appropriate stakeholders to determine user requirements for a scenario, drive identification of dependencies and the development of design documents for a product, application, service, or platform.
• Perform system design with well-defined interfaces across multiple components, leveraging data/telemetry to inform decisions.
• Develop best-in-class engineering for our services, ensuring components are modular, secure, reliable, testable, diagnosable, maintainable, actively monitored, and reusable.
• Improve test coverage, organize and implement integration tests, and resolve problem areas.
• Troubleshoot and optimize automation, reliability, and monitoring for Live Site.
• 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.

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.

#MicrosoftAI

Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $142,800.00 – $274,800.00 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 $188,000.00 – $304,200.00 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 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 el.igible 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.

Overview


Responsibilities


Qualifications

• Bachelor’s Degree in Computer Science, or Computer Engineering, or related field AND 4+ years related experience
  • OR Master’s Degree in Computer Science, or Computer Engineering, or related field AND 3+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, or Computer Engineering, or related field AND 1+ year(s) related experience
  • OR equivalent experience.

Preferred Qualifications:

• Doctorate in Computer Science, or Computer Engineering, or related field AND 3+ years related experience
• 3+ years of experience applying AI solutions or LLMs to real‑world systems (RAG, ranking, classification, reasoning).
• Proven experience in distributed training, model optimization, and production ML infrastructure.
• Hands‑on experience developing and evaluating models on large‑scale, real‑world datasets.
• Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).
• In depth nderstanding of experimentation methodologies, including offline metrics and online A/B testing.
• Ability to independently scope problems and deliver high‑quality solutions in ambiguous environments.
• Proven collaboration skills and experience working with engineering and product partners.
• Ability to clearly communicate technical concepts and trade‑offs to both technical and non‑technical audiences.
• Comfort operating across the full lifecycle—from research and prototyping to production and live operations.

Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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.

Overview

Microsoft Monetization Ads is seeking a highly organized, proactive, and strategic Executive Business Administrator to provide exceptional support to an Engineering CVP and her leadership team. As an Executive Business Administrator, you will play a critical part in enabling organizational effectiveness across a large, global team of over 500 employees, partnering closely with leaders, business managers, and administrative colleagues.

On the Microsoft Monetization Ads team, you will get to work in a fast-paced, dynamic environment while demonstrating solid ownership, sound judgment, and the ability to anticipate needs. You will manage complex calendaring, in office support (for the team), communications, and high-impact events, while ensuring seamless coordination across global stakeholders.

Success in this role requires agility, solid prioritization skills, and the ability to manage multiple competing demands with professionalism and discretion. The candidate must demonstrate excellent interpersonal and communication skills, maintain strict confidentiality, and build trusted relationships across all levels of the organization. A high level of attention to detail, follow-through, and a customer-service mindset are essential.

This role is part of a collaborative and high-performing administrative community that values teamwork, operational excellence, and continuous improvement. The successful candidate will contribute to both the efficiency of the leadership team and the broader culture of the organization.

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.  

 

Responsibilities

• Executive Calendar & Prioritization: Proactively manage a complex, fast-paced calendar for a CVP-level engineering leader. Exercise sound judgment to prioritize meeting requests, align scheduling with business objectives, and ensure effective time allocation across leadership, customer, and team engagements.
• Rhythm of Business (ROB) Leadership: Partner closely with the Business Manager to manage and optimize the organization’s Rhythm of Business, including staff meetings, directs, Town Halls, and leadership offsites. Assist in agenda planning, content coordination, follow-ups, and continuous improvement of meeting effectiveness and communication flow.
• Organizational & Team Operations: Provide end-to-end operational support for a global organization of 500+ FTEs. Working closely with the team business manager on headcount tracking, onboarding and offboarding processes, distribution groups, and organizational communications. Support budgeting processes (e.g., morale, travel, and discretionary spend) and help ensure alignment with organizational priorities.
• Events, Offsites & Engagement: Partner on logistics and execution of high-impact events, including leadership offsites, team meetings, hackathons, and morale initiatives. Coordinate end-to-end planning (agenda support, attendee tracking, logistics, communications, and follow-ups) to drive engagement and a solid team culture.
• Space & Workplace Experience: Oversee space planning and office logistics, including new hire setup, seating coordination, and facilities requests. Manage procurement of equipment, supplies, and services to ensure a seamless and productive work environment.
• Stakeholder Partnership & Communication: Build and maintain solid relationships with executives, leaders, and cross-functional partners. Collaborate effectively with diverse stakeholders and administrative peers across regions, demonstrating professionalism, solid communication, and the ability to influence and align.
• Confidentiality & Executive Support Excellence: Handle sensitive information with the highest level of discretion and integrity. Anticipate executive needs, demonstrate proactive problem-solving, and consistently deliver high-quality support with solid attention to detail and follow-through.
• Administrative Community & Continuous Improvement: Actively contribute to the broader administrative community by sharing best practices, driving process improvements, and supporting cross-team initiatives to enhance operational excellence at scale.

Qualifications

Required Qualifications:

• 5+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper level management.

Preferred Qualifications:

• Bachelor’s Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology)
  • OR equivalent experience.
• Proven administrative, business support, or customer service experience in a fast-paced, high-performing environment.
• Demonstrated expertise in complex calendar management using Microsoft Outlook, including prioritization and decision-making on behalf of senior leaders.
• Solid planning, organizational, and time management skills, with a proactive mindset and a willingness to learn and adapt.
• Excellent written and verbal communication skills, with the ability to interact effectively across all levels of the organization.
• Collaborative team player who values diversity and can effectively navigate different working styles, personalities, and global stakeholder dynamics.
• Ability to prioritize competing demands, drive tasks to completion, and demonstrate initiative while maintaining the highest level of confidentiality and professionalism.
• Exceptional attention to detail, with the ability to manage complex schedules, track multiple workstreams, and respond with urgency in time-sensitive situations.
• Solid judgment and problem-solving skills, with the ability to operate effectively in ambiguous situations and maintain composure under pressure.
• Proficiency with Microsoft 365 tools (Outlook, Word, Excel, PowerPoint, Teams) and familiarity with internal systems (e.g., Employee Central, Workday/HR systems, expense and procurement tools).

#MicrosoftAI 

Business Support ATR-D – The typical base pay range for this role across the U.S. is USD $31.49 – $51.97 per hour. 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 $42.93 – $59.33 per hour.

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.

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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.

Overview

As a Senior Data Scientist for LLM Evaluation, you will develop and implement cutting-edge methodologies to help us evaluate how well Copilot performs in real-world usage scenarios. Users turn to Copilot for all types of endeavors, making it critical that we ensure our AI systems effectively help them meet their needs.

Our vision for meeting user needs is expansive and includes not only task completion, but also affective aspects of the experience.

You will be responsible for developing new methods to evaluate LLMs, train classifiers, experimenting with data collection techniques, and implementing methodologies to provide real-time signals on Copilot performance.

We’re looking for outstanding individuals with experience in the social sciences, machine learning, and analysis of natural language. The right candidate is a creative problem solver who will work closely with user researchers and product leaders to build automated evaluation frameworks that help us drive improvements in Copilot.  

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, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Leverage expertise to measure the performance of Copilot, identify failure modes and novel mitigation strategies, including data mining, prompt engineering, LLM as a judge, and classifier training.
• Creative problem solving, navigating complexity with clarity, independently shaping direction and delivering results even when the path isn’t obvious.
• Create and implement comprehensive evaluation frameworks across diverse scenarios, edge cases, and potential failure modes.
• Build automated testing systems, generalize solutions into repeatable frameworks, and write efficient code for model pipelines and intervention systems.
• Maintain a user-oriented perspective by understanding needs from user perspectives, validating approaches through user research, and serving as a trusted advisor on AI matters.
• Track advances in research, identify relevant state-of-the-art techniques, and adapt algorithms to drive innovation in production systems serving millions of users.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

   

Additional or preferred qualifications

• • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • Experience prompting and working with large language models.
  • Experience writing production-quality Python code.
  • Demonstrated interest in Responsible AI. 

Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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

Data Science 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 $160,200 – $261,000 per year.

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

Data Science 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 $160,200 – $261,000 per year.

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

Data Science 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 $160,200 – $261,000 per year.

Certain roles may be el.igible 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.

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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.

Overview

As a Senior Data Scientist for LLM Evaluation, you will develop and implement cutting-edge methodologies to help us evaluate how well Copilot performs in real-world usage scenarios. Users turn to Copilot for all types of endeavors, making it critical that we ensure our AI systems effectively help them meet their needs.

Our vision for meeting user needs is expansive and includes not only task completion, but also affective aspects of the experience.

You will be responsible for developing new methods to evaluate LLMs, train classifiers, experimenting with data collection techniques, and implementing methodologies to provide real-time signals on Copilot performance.

We’re looking for outstanding individuals with experience in the social sciences, machine learning, and analysis of natural language. The right candidate is a creative problem solver who will work closely with user researchers and product leaders to build automated evaluation frameworks that help us drive improvements in Copilot.  

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, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

• Leverage expertise to measure the performance of Copilot, identify failure modes and novel mitigation strategies, including data mining, prompt engineering, LLM as a judge, and classifier training.
• Creative problem solving, navigating complexity with clarity, independently shaping direction and delivering results even when the path isn’t obvious.
• Create and implement comprehensive evaluation frameworks across diverse scenarios, edge cases, and potential failure modes.
• Build automated testing systems, generalize solutions into repeatable frameworks, and write efficient code for model pipelines and intervention systems.
• Maintain a user-oriented perspective by understanding needs from user perspectives, validating approaches through user research, and serving as a trusted advisor on AI matters.
• Track advances in research, identify relevant state-of-the-art techniques, and adapt algorithms to drive innovation in production systems serving millions of users.

Qualifications

Required Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

   

Additional or preferred qualifications

• • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
  • Experience prompting and working with large language models.
  • Experience writing production-quality Python code.
  • Demonstrated interest in Responsible AI. 

Data Science IC4 – The typical base pay range for this role across the U.S. is USD $119,800.00 – $234,700.00 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 $160,200.00 – $261,000.00 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

Data Science 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 $160,200 – $261,000 per year.

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

Data Science 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 $160,200 – $261,000 per year.

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

Data Science 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 $160,200 – $261,000 per year.

Certain roles may be el.igible 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.