Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 5+ years experience delivering products that include full Search and/or Advertising technology stack
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript). 
• 7+ years of experience building Ads products. 
• 5+ years of building AI consumer products.
• 5+ years of experience in monetization products and B2B.
• 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 

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

Required Qualifications:

• Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
  • OR equivalent experience.

Preferred Qualifications:

• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI
• 5+ years experience delivering products that include full Search and/or Advertising technology stack
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript). 
• 7+ years of experience building Ads products. 
• 5+ years of building AI consumer products.
• 5+ years of experience in monetization products and B2B.
• 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 

Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

We are seeking an accomplished Principal Data Scientist to lead the development and evaluation of offline search metrics for Bing. This position is integral to the advancement of search quality measurement, driving data-driven insights through rigorous offline analyses. As a member of the Bing Metrics team, you will leverage state-of-the-art BigData technologies to sample, process, and analyze vast search logs, formulate and validate hypotheses regarding search relevance, and deliver actionable findings to leadership. This role offers the opportunity to collaborate extensively across engineering, product, and research teams, shaping the future of search quality at scale.

As Principal Data Scientist, you will directly influence Bing’s search quality and relevance, drive innovation in offline metric development, and enable data-informed decision-making at the highest levels. Your work will shape product strategy and have a broad impact across the Bing organization, fostering collaboration and continuous improvement in search experiences worldwide.

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.

• Sample large, representative datasets from extensive search log repositories utilizing BigData Map-Reduce frameworks and distributed data platforms.
• Architect and implement scalable data processing and analysis pipelines for offline metric computation, leveraging modern data engineering best practices.
• Formulate, test, and validate hypotheses regarding search result quality using advanced statistical methods and machine learning models.
• Design labeling protocols and manage trained crowd judges and auditors for high-fidelity data annotation and validation of search results.
• Adapt traditional evaluation workflows to incorporate LLM-as-a-judge and fine-tuned LLMs, ensuring robust and scalable quality assessments.
• Develop and deliver custom reports, visualizations, and presentations to communicate insights and recommendations to senior leadership.
• Collaborate across multidisciplinary teams to extend offline metric methodologies and support innovative search experiences.

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.
• Extensive experience in Information Retrieval, including designing, evaluating, and optimizing search and ranking algorithms.
• Demonstrated ability to develop and validate metrics for Information Retrieval systems, ensuring robust measurement of relevance, accuracy, and user satisfaction.
• Expertise in crowdscience methodologies, including designing and running large-scale crowdsourcing experiments for data annotation and model evaluation.
• Proven track record in architecting and deploying large-scale data pipelines for real-time and batch processing of heterogeneous data sources.
• Solid background in experimental design, statistical analysis, and A/B testing for data-driven product improvements.
• Ability to lead cross-functional teams and mentor junior scientists in best practices for data science and machine learning.
• Ability to work independently, solid collaboration and communication skills
• Familiarity with Python, T-SQL, (HTML/JS for dashboarding).

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI #search# #webxt# #metrics# #informationretrieval# #bigdata# #DS#

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

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

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

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

We are seeking an accomplished Principal Data Scientist to lead the development and evaluation of offline search metrics for Bing. This position is integral to the advancement of search quality measurement, driving data-driven insights through rigorous offline analyses. As a member of the Bing Metrics team, you will leverage state-of-the-art BigData technologies to sample, process, and analyze vast search logs, formulate and validate hypotheses regarding search relevance, and deliver actionable findings to leadership. This role offers the opportunity to collaborate extensively across engineering, product, and research teams, shaping the future of search quality at scale.

As Principal Data Scientist, you will directly influence Bing’s search quality and relevance, drive innovation in offline metric development, and enable data-informed decision-making at the highest levels. Your work will shape product strategy and have a broad impact across the Bing organization, fostering collaboration and continuous improvement in search experiences worldwide.

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.

• Sample large, representative datasets from extensive search log repositories utilizing BigData Map-Reduce frameworks and distributed data platforms.
• Architect and implement scalable data processing and analysis pipelines for offline metric computation, leveraging modern data engineering best practices.
• Formulate, test, and validate hypotheses regarding search result quality using advanced statistical methods and machine learning models.
• Design labeling protocols and manage trained crowd judges and auditors for high-fidelity data annotation and validation of search results.
• Adapt traditional evaluation workflows to incorporate LLM-as-a-judge and fine-tuned LLMs, ensuring robust and scalable quality assessments.
• Develop and deliver custom reports, visualizations, and presentations to communicate insights and recommendations to senior leadership.
• Collaborate across multidisciplinary teams to extend offline metric methodologies and support innovative search experiences.

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.
• Extensive experience in Information Retrieval, including designing, evaluating, and optimizing search and ranking algorithms.
• Demonstrated ability to develop and validate metrics for Information Retrieval systems, ensuring robust measurement of relevance, accuracy, and user satisfaction.
• Expertise in crowdscience methodologies, including designing and running large-scale crowdsourcing experiments for data annotation and model evaluation.
• Proven track record in architecting and deploying large-scale data pipelines for real-time and batch processing of heterogeneous data sources.
• Solid background in experimental design, statistical analysis, and A/B testing for data-driven product improvements.
• Ability to lead cross-functional teams and mentor junior scientists in best practices for data science and machine learning.
• Ability to work independently, solid collaboration and communication skills
• Familiarity with Python, T-SQL, (HTML/JS for dashboarding).

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

#MicrosoftAI #search# #webxt# #metrics# #informationretrieval# #bigdata# #DS#

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

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

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

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

Required Qualifications:

• Bachelor’s Degree in Business Administration, Engineering or related field AND 8+ years partner management, sales, business development, platform ecosystem/network, or partner channel development in the technology industry
  • OR 10+ years partner management, sales, business development, platform ecosystem/network, or partner channel development in the technology industry
  • OR equivalent experience.
• 5+ years experience in digital media sales/service with a focus on agencies.

Preferred Qualifications:

• Bachelor’s Degree in Business Administration, Engineering or related field AND 12+ years partner management, sales, business development, platform ecosystem/network, or partner channel development in the technology industry
  • OR 14+ years partner management, sales, business development, platform ecosystem/network, or partner channel development in the technology industry
  • OR equivalent experience.
• 10+ years’ experience in digital media sales/service with a focus on agencies. 
• Proven track record in nurturing trusted relationships with agency leaders; possessing a high degree of executive maturity, integrity and accountability. 
• Experience in orchestrating complex commercial and trading partnerships with Holding Companies and Key Independent Agencies 
• Experience in nurturing AdTech, Martech and data-driven partnerships alongside media activation. 
• Passion for creating a diverse and inclusive culture, where everyone can bring their full and authentic selves; where all voices are heard; and where the team can do their best work as a result. 
• A commitment to and track record of positively contributing to team culture and lifting others up.  

#MicrosoftAI 

Partner Account Management IC5 – The typical base pay range for this role across the U.S. is USD $133,000 – $222,700 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 $170,300 – $239,800 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.

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. 

Microsoft AI (MAI) Copilot team is seeking experienced Data Engineer to help build the foundations of Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You will work in a highly collaborative, fast-paced environment to solve complex data challenges underlying personalization, designing systems that reliably capture, refine, and serve user signals across interactions. Your work will deepen memory with every interaction, personalize experiences around individual goals and preferences, and make Copilot feel like a trusted partner rather than a static tool. 

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. 

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.

• 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.

• 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 Master’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.
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
• Experience building and deploying machine learning or large language model (LLM) applications at scale.
• Experience designing and implementing large-scale embedding, retrieval, and ranking systems.

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

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

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

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

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

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

Required Qualifications:

• Bachelor’s Degree in Sales, Marketing, or related field AND 8+ years experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR Master’s Degree in Business Administration in Sales, Marketing, or related field AND 5+ years experience in sales, advertising, or marketing with a focus on online media, or digital advertising
    • OR 9+ years experience in sales, advertising, or marketing with a focus on online media, or digital advertising
      • OR equivalent experience.

Preferred Qualifications:

• Bachelor’s Degree in Sales, Marketing, or related field AND 12+ years experience in sales, advertising, or marketing with a focus on online media, or digital advertising
  • OR Master’s Degree in Business Administration in Sales, Marketing, or related field AND 10+ years experience in sales, advertising, or marketing with a focus on online media, or digital advertising
    • OR equivalent experience.
• Experience in online media, digital advertising, or Search Engine Marketing Sales and Service experience.
• Experience making recommendations to mid- to senior- level executives.
• Experience in programmatic and direct media sales

#MicrosoftAI #MicrosoftAdvertising

Advertising Account Management IC4 – The typical base pay range for this role across the U.S. is USD $107,600 – $187,500 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 $145,600 – $205,600 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.

• Architect, develop, and carry out the rhythm of business (ROB), while also driving business strategy initiatives.  You’ll also execute business plans to ensure continuous operations.
• Partner closely with MAI Leadership to drive strategic planning, execution, and alignment across groups.
• Provide leadership support by ensuring business activities are aligned with their goals. This will involve leading multiple workstreams, leveraging key partnerships to drive leadership agenda. Serve as a trusted advisor and thought partner to leadership, enabling clarity and focus.
• Manage executive level communications with a variety of internal audiences. Drive change management across the organization. Focus on improving employee engagement to drive impactful internal and external comms, meetings, AMA (Ask Me Anything) and other applicable communications.
• Support organizational health efforts, including culture, inclusion, and team effectiveness.
• Coordinate with finance, Human Resources, and other support functions to ensure operational efficiency. This includes Position Control Number (PCN) and Headcount (HC) management, as well as budget management.
• Work in close collaboration with the broader business management community to align with MAI, Search LT process, and policies.

Required Qualifications:

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

Preferred Qualifications:

Technical Program Management M5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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

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

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

The Bing organization is looking for a Principal Data Scientist. The team is pushing the boundaries regarding our understanding for how users engage with AI-powered search engines and then translates the insights into actionable metrics. These metrics then provide direction to the Bing team and help engineers make the right ship decisions for their thousands of online controlled experiments.

Nearly a billion users visit Bing.com worldwide monthly, and we have a large opportunity to grow further, especially with the introduction of AI-based features. At Bing, we celebrate our data driven culture: changes only ship when their impact is understood and positive. This role is a great opportunity to make solid, and even multiplicative impact on the org. 

As a Principal Data Scientist in this team, you will have the chance to work on metrics and analytics shaping growth of the Bing product. You will have the opportunity to work not only with the Bing product team focused on growth but with many critical partner teams across Microsoft. You will drive impactful data-driven insights to understand impact, ROI, opportunities to support the Bing search experience that delights the user. 

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.

• Hands on analysis on large volumes of telemetry data using various algorithms and tools including your own.
• Drive data driven ideation for Bing product team for opportunities and ROI for growth initiatives.
• Drive impact analysis for features critical to agile course correction and business investments.
• Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals.
• Evangelize your data analysis techniques, visualizations across teams.
• Continuously improve measurement of the key metrics and update the metrics according to new instrumented signals.
• Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics. 

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)
•  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)
•  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.

Additional or 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. 

At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.

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

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

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

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

Microsoft AI is looking for an Executive Assistant to join our newly formed organization. In this role, you will provide administrative support to Monetization leaders.

As an Executive Assistant, you will be helping with all levels of support including team communications, strategic calendar management and complex end-to-end headcount/budget management. You will identify support gaps and develop/implement solutions to help contribute to the leader’s and team’s overall success. In addition, you will need to collaborate closely with business partners and team leaders to support the rhythm of business (ROB), space planning, and headcount/budget planning and maintenance. 

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.

• Calendar Management: Provides strategic calendar management and time planning support for manager and additional team calendars when needed. Manages calendar, meeting preparation, and logistics based on knowledge of manager and business needs.
• Cross-Functional Collaboration and Communication: Strengthens their network (internally and externally) across organizations to enable their team and leader’s work. Uses executive maturity and independent insight judgment, discretion, business insights, and perspectives to direct and prepare staff to distribute information to their teams and/or supported leader.
• Team Management Support (Headcount Management, Recruitment, Onboarding/ Offboarding): Collaborates with Global Talent Acquisition (GTA) to facilitate internal and external recruitment efforts, and partners with hiring managers to ensure an effective process. Supports intern and university recruitment for the broader organization (e.g., planning, placement). Creates committees to promote team experiences. Lands and delegates onboarding activities (e.g., ordering new-hire equipment, setting up workstations, distribution lists, security groups) and provides support to new employees, vendors, and interns as an essential contact for questions and company information. Provides high-level support for a seamless executive onboarding experience.
• Event Coordination and Logistics: Manages, plans, and develops events. Takes responsibility for event outcomes and demonstrates executive presence. Leads a team of event planners if needed. Partners with management to understand event aspirations and target goals. Develops and leverages resources for reuse to drive efficiency. Contributes to development of workback schedule, promotion, and necessary checkpoints.
• Resource Management (Hardware/Supply Management, Purchase/Expense Management Financial Management): Owns expense management including documentation (e.g., purchase orders [POs], receipts, tax award spreadsheets, statements of work, reclassifications), expense tracking, and policy compliance. Educates administrative team on Microsoft Policy to ensure compliancy across team/division/organization and escalates issues as needed. Functions as interim approver for executive office when needed.
• Rhythm of Business (ROB): Partners with senior leader(s) and Chiefs of Staff on building and managing annual rhythm of business (ROB), including fiscal year calendar and executive meeting schedule (e.g., Human Resources [HR] cadence, fiscal cadence, SLT cadence, company-wide and/or employee resource group cadence). Strategically communicates ROB cadence and helps to manage workloads, as needed.
• Space Management and Planning: Leads space-management processes and team spaces (e.g., office locations/desk assignments, private conference rooms, seasonally transitional spaces, remote/location status), cascading space management vision to fellow team members. Addresses and resolves high-level space requests. Leads large-scale space requests (e.g., annual office restacks, space build outs), liaising between admins and space planner and negotiating for appropriate space for their team. Determines future space planning needs and drives space changes based on utilization data and upcoming organizational changes.
• Travel Management: Works with appropriate contact/tool to coordinate travel arrangements (e.g., accommodations, transportation, security) for manager(s) and/or group. Creates detailed itineraries/agendas for daily activities by setting and managing travel expectations to maximize trip productivity. Manages all travel logistics and maximizes trip itineraries
• Discipline Growth and Development: Provides leadership and actively seeks out and participates in the Business Support community. Mentors Business Support professionals. Shares best practices and insights.
• Embody our culture and values.

Required Qualifications:

• 7+ 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.

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Business Support ATR-E – The typical base pay range for this role across the U.S. is USD $32.84 – $66.30 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 $44.81 – $72.69 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.

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.