As a Product Manager II on the Bing Places Data team, you will own data product features supporting Microsoft’s geospatial services, including Bing Maps, Local Search, and Copilot. Our team’s immediate customers are the partner teams building experiences across a range of Microsoft and MAI products. This position requires solid technical understanding and product management skills to create clarity and the features and capabilities we need to meet business and customer needs. As a Product Manager II, you will:

• Work with partner teams to understand their requirements, informing your product decisions
• Translate complex technical and AI concepts, to understand gaps and opportunities to improve our data products for search and copilot experiences
• Leverage AI to identify unmet or unknown customer needs, and collaborate with others to perform competitive analysis
• Apply data-driven insights to assess product and feature performance, identify risks, and implement improvements
• Influence data product features, including data models, pipelines, and quality systems, making tradeoffs that balance scalability, reliability, and partner needs

This role requires good communication skills, curiosity and learning in a rapidly evolving product space, and the ability to reduce ambiguity within your area.

At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.

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.

• Product Opportunity Identification: Identify gaps in our product and propose solutions for unmet customer needs.
• Defining product features, requirements, and success measures to meet our partner and customer’s data needs.
• Data-Driven Analysis and Executions: Use data analysis to identify needs of our customers and gaps in our data products.
• Evangelize supported features with stakeholders to increase parter team usage and adoption our products.
• Prioritize features, with guidance, seeing input regarding prioritize, and providing insights and recommendations on alignment with the organizational objectives.
• Communicate options and tradeoffs to different stakeholders to provide accurate information for decision making throughout the team.

Required Qualifications:

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development
  • OR equivalent experience.

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

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

Preferred Qualifications:

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 2+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn).
• Experience creating geospatial or mapping products.
• Experience working with large location-enabled datasets.
• Experience creating web search features.
• Experience working with AI technologies, Retrieval Augment Generation systems, AI agents, or workflow automation. 

#MicrosoftAI 

Product Management IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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.

Help millions of people find the right local businesses and services at the moments that matter most. At Bing Places, we build the systems that power local discovery across Microsoft experiences. You’ll work at the intersection of engineering, data, and product to improve the quality, relevance, and trustworthiness of local search at global scale.

In this role, you’ll build and operate scalable systems that power accurate and trustworthy local search experiences across Microsoft. As a Software Engineer II on Bing Places, you’ll collaborate with engineers, data scientists, and product partners to integrate diverse data sources, improve ranking quality, and ship features used by millions of customers. The role offers solid growth opportunities as you deepen your expertise in distributed systems, geospatial data.

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. 

• Contribute to architecture, engineering standards, and development practices across the team. 
• Work with appropriate stakeholders to determine user requirements for a set of features.
• Contribute to the identification of dependencies, and the development of design documents for a product area with little oversight.
• Create and implement code for a product, service, or feature, reusing code as applicable.
• Contribute to efforts to break down larger work items into smaller work items and provides estimation.
• Act as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gain approval to restore system/product/service for simple problems.
• Remain current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.

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

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• 1+ with data engineering leveraging tools such as Apache Hadoop or Spark or equivalent experience.
• Experience with Azure Cloud, Azure Data Factory (ADF) 
• 3+ years of experience in solving, design, coding, and debugging skills.
• Demonstrated experience with products that involve high availability/reliability and low latency systems.

#MicrosoftAI 

Software Engineering IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 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, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience.

Preferred Qualifications: 

Business Program Management IC6 – The typical base pay range for this role across the U.S. is USD $130,900 – $277,200 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 $165,600 – $303,600 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.

Microsoft AI is looking for a Principal Software Engineer – AI Ads, to shape the future of online advertising in Mountain View, CA or Redmond, WA.

You’ll lead the design and development of large-scale shopping ads infrastructure that powers billions of products worldwide. This is a rare opportunity to work on cutting-edge AI, big data, and deep learning systems while collaborating with world-class scientists and engineers to deliver solutions at massive scale.

Online advertising is one of the fastest-growing businesses on the Internet today, with about $70 billion of the $600 billion advertising market already online. Search engines, chatbots, web publishers, major ad networks, and ad exchanges serve billions of ad impressions daily and generate terabytes of user event data. This rapid growth has created enormous opportunities as well as technical challenges that demand advanced computational intelligence. Computational Advertising has emerged as a new interdisciplinary field that combines information retrieval, machine learning, large-scale distributed systems, data mining, statistics, operations research, and microeconomics to solve complex problems. At its core, the challenge is to select an optimized set of eligible ads for each user in order to maximize overall utility—capturing expected revenue, user experience, and advertisers’ return on investment. Microsoft is innovating rapidly in this space to expand its market share by delivering a state-of-the-art online advertising platform and service.

The Shopping Ads Infrastructure & Algorithm team in Microsoft AI is seeking a Principal Software Engineer – AI Ads,  to lead research and development for the next generation of shopping ads infrastructure. In this role, you will design, develop, optimize, and operate the universal product graph infrastructure and manage large-scale datasets that span billions of products in multiple languages worldwide. This product graph powers critical scenarios including Bing Search Ads, Copilot, AI Agents, Product Insights, Selection, Relevance, Modeling, and Personalization. The team leverages deep learning, LLMs/SLMs, AI, NLP, information retrieval, big data, and streaming systems to build high-performance engineering solutions aligned with Microsoft’s Commerce Strategy. You will collaborate with leading scientists and engineers across Microsoft’s global R&D organization to deliver impactful solutions at massive scale.

At Microsoft AI, you’ll have the opportunity to grow your career while tackling some of the hardest problems in machine learning, large-scale distributed systems, and computational advertising. You’ll collaborate with world-class researchers and engineers, influence product direction, and take on leadership opportunities that expand your technical and professional impact. Our team builds infrastructure that powers billions of products across the globe, directly shaping the future of shopping and online advertising. By joining us, you’ll contribute to cutting-edge AI innovation at massive scale and help transform how users and advertisers connect.

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. 

• Lead the design, development, and optimization of large-scale shopping ads infrastructure and algorithms.
• Build and maintain the universal product graph spanning billions of products across multiple languages.
• Develop scalable systems for data ingestion, storage, retrieval, and real-time serving at global scale.
• Apply machine learning (ML), nature language processing (NLP), and deep learning (DL) models to improve ad relevance, personalization, and selection.
• Collaborate with scientists and engineers across Microsoft AI to translate research into production systems.
• Drive innovation by identifying technical opportunities that align with Microsoft’s Commerce Strategy.
• Mentor and guide engineers, fostering technical competence and collaboration across the team.

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.
• 4+ years of industrial experience building large scale systems and supporting AI models.
• 2+ years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow), LLMs/SLMs, and AI Agents.
• 2+ years of experience with cloud services, large-scale big data platforms, and streaming/real-time frameworks (e.g., Kafka, Flink, Spark Streaming), and AI infrastructure development.

Other Requirements

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

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

Preferred Qualifications

• Committed background in computational advertising, recommender systems, or search engines
• Demonstrated ability to translate high-level vision into detailed, high-quality design and implementation; skilled at integrating both quantitative and qualitative data into decision-making, and effective in both independent and collaborative settings
• Passion for innovation, solving complex problems, and optimizing systems
• Committed to learning and adept at adopting and applying the latest AI technologies to day-to-day work
• Proficient background in computational advertising, recommender systems, or search engines.

#MicrosoftAI

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

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

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

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

The Ads Data Platform Team, part of Microsoft AI (Artificial Intelligence), is hiring a Senior Software Engineer. 

This role is available in Redmond, WA.

Our team powers the backbone of Microsoft’s global ads marketplace—gathering, storing, and enriching over half a trillion ad-serving events every day. We build data platforms that fuel business analytics, machine learning models, and real-time reporting at massive scale. If you’re passionate about solving complex problems and driving innovation, this is the place for you. 

As part of our team, you’ll: 

• Design and operate high-scale, high-performance systems that process billions of events through near-real-time and offline pipelines.
• Build data applications that directly impact Microsoft Ads’ double-digit annual growth.
• Work on cutting-edge technologies in distributed systems, machine learning, and big data. 

Why join us? 

• Online advertising is one of the fastest-growing businesses on the Internet, with $70B of a $600B market already online—and we’re just getting started.
• You’ll tackle technical challenges that demand computational intelligence, scalable algorithms, and interdisciplinary expertise across data mining, optimization, and economics.
• Be part of a results-driven, inclusive culture where your ideas matter and your work create measurable business impact. 

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.

• Work with BingAds stakeholders to determine requirements for new features to drive up Ads business. Create system design for feature requirements.
• Assure system meets security and compliance requirements and expectations. Creates a clear and articulated plan for testing and assuring quality solutions.
• Implement the features with high efficiency, extensibility, diagnosability, reliability, and maintainability with few defects. Reviews code of product to assure it meets the team’s and Microsoft’s quality standards, is reliable and accurate, and is appropriate for the scale of the product feature.
• Maintain operations of live service as issues arise on a rotational, on-call basis. Identifies solutions and mitigations to simple and complex issues and escalates as necessary. Acts as a Designated Responsible Individual (DRI) working on call to monitor system/product feature/service for degradation, downtime, or interruptions. Responds within Service Level Agreement (SLA) timeframe. Escalate issues to appropriate owners.
• Build knowledge, share new ideas, and share pinpoints of engineering tool gaps to improve software developer tools to support other programs, tools, and applications to create, debug, and maintain code for product features. Contribute to the development of automation within production and deployment of a product feature.
• Profile and analyze distributed system performance and capacity bottlenecks. Propose and implement solutions to improve system latency and capacity to meet BingAds online serving requirements.

Required Qualifications:

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

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

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.
• Experience in Azure. 
• Experience in Machine learning and online system design, implementation and qualification. 
• 2+ years’ experience in Distributed Systems and Big Data Technologies such as Spark, Hadoop, HDFS, Kafka, Flink, Scala.

#MicrosoftAI #MicrosoftAds #BingAds #BigData

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

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

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

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

Are you passionate about designing intuitive, AI‑powered experiences that help people discover, navigate, and make decisions about the physical world? Do you thrive at the intersection of user experience, data, and technology—turning ambiguous problems into clear, impactful products?

The Bing/Search Places team is reimagining how users explore and connect with places through search, maps, and AI‑driven experiences across Microsoft’s ecosystem. We’re looking for a Senior Product Manager with consumer product and UX instincts who can shape product direction through discovery and drive execution from concept to launch, owning outcomes end‑to‑end.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Own and evolve end‑to‑end user experiences for Places and Maps scenarios, from problem definition through launch and iteration.
• Deeply understand customer pain points and lead product discovery through user research, data analysis, and partner feedback, translating insights into clear product bets.
• Partner closely with Design, Research, and Engineering to define intuitive user experiences and drive them to delivery.
• Define roadmaps and success metrics, breaking down ambiguous problems into shippable milestones and iterating based on learning.
• Use experimentation to validate hypotheses and inform prioritization and tradeoffs.
• Communicate product direction and outcomes clearly, influencing cross‑functional and cross‑org partners without direct authority.
• Balance long‑term vision with near‑term execution, making pragmatic decisions that maximize customer impact.
• Model Microsoft’s culture and values, fostering inclusiveness, collaboration, and continuous improvement.

Required Qualifications:

• Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
  • OR equivalent experience.

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

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

Preferred Qualifications:

• Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
  • OR equivalent experience.
• 5+ years of product management experience, building and shipping software products
  • OR equivalent experience.
• Experience with consumer‑facing products, such as search, web, or maps.
• Experience owning product areas end-to-end, from problem definition through launch and iteration.
• 8+ years of product management experience.
• Experience with AI or AI-powered experiences.
• Proven track record of delivering meaningful customer impact.
• Experience creating and communicating product vision, influencing stakeholders, and driving alignment across teams.

#MicrosoftAI #MAI #Search #Places

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

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

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

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

The Microsoft Commerce team is at the forefront of defining how AI‑native shopping comes to life, shaping how Copilot helps people discover, decide, and take action. We are pioneering the future of AI shopping by building intelligent, trusted experiences that redefine commerce and shopping across Microsoft surfaces. 

As a Principal Product Manager, you’ll be responsible for understanding user and business needs, defining clear requirements, and driving execution across engineering, design, and partner teams. You set strategy, align stakeholders, manage delivery through launch and iteration, and ensure outcomes are measurable, high‑quality, and scalable.  

In this role, you will learn how to operate lean teams that obsess over users, make high‑quality decisions grounded in evidence, and ship continuously. You’ll develop the ability to move quickly from insight to impact, delivering real, immediate value to users. As the AI landscape evolves at an unprecedented pace, you’ll gain hands‑on experience working at the center of that transformation, building products at the heart of how AI is reshaping the world.  

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.

• You will influence others to drive business impact across the organization and track success criteria for multiple feature areas across divisions. You’ll also be an expert in identifying long-term investment opportunities and engaging partners to garner support for those feature areas. 
• Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.  
• You will define a feature set and facilitate senior-level usability reviews with customers. You’ll own the roadmap for multiple feature areas across divisions, and will collaborate with a partner team to build golden configurations and drive scenario walkthroughs. 
• Enjoy working in a fast-paced, customer-first, product development cycle.  
• As an expert, you will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in multiple areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers across sectors. 

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.
• 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI 
• 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 
• 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript). 
• Depth in experimentation and measurement (A/B testing, causal inference, learning outcomes, cohort analysis).  
• 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 IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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

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

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

Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive! 

MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Scientist to join our Growth and Analytics team. 

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.

• Partner with stakeholders as a trusted thought partner to drive data-informed business decisions and strategic planning.
• Collaborate with cross-functional teams to define features, estimate initiative impact, and support engagement and revenue growth through analytics.
• Build forecasting solutions and time-series models to project engagement, traffic, and revenue, and support scenario planning.
• Analyze large-scale data to identify trends, user behavior patterns, and content performance insights that improve product quality and recommendations.
• Develop dashboards, reporting tools, and automated monitoring to track business health and compare actual performance against forecast.
• Build metric frameworks to detect anomalies, diagnose root causes, and provide timely insights when key business metrics shift.
• Conduct business modeling to identify growth opportunities, evaluate trade-offs, and prioritize initiatives with solid long-term ROI.
• Design and analyze A/B tests to measure incremental impact, evaluate algorithm changes, and guide iterative improvements.
• Apply predictive modeling, time-series analysis, and experimentation methods to improve forecasting accuracy and business performance.
• Communicate insights, forecasts, and recommendations clearly to technical and non-technical stakeholders to support informed decision-making.

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.
• 7+ years of experience in data science, statistical modeling, business analytics, forecasting, or data-driven strategy.
• Experience in product, web, and/or content analytics, with the ability to connect user behavior to business outcomes.
• Solid communication and storytelling skills, with the ability to translate complex analyses into clear business recommendations.
• Proven ability to manage stakeholders, prioritize effectively, and deliver actionable, data-driven insights.
• Experience working with large-scale event-level data and transforming raw data into metrics, dashboards, and analytical solutions using PySpark, Scala, or similar tools.
• Familiarity with content ecosystems, advertising, online shopping metrics, and the key drivers of engagement and monetization.

#MicrosoftAI 

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

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

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

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

The Edge browser is a strategic product and a key entry point to Microsoft’s new AI ecosystem serving hundreds of millions of users daily.

The Edge Engineering System team is looking for exceptional engineers to help us streamline our engineering workflows and enable our development team to develop high-quality code at light speed. We build modern, AI-first engineering workflows and ensure that our releases are regular, timely, and automatic. 

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.

• AI-Native Development
  • Uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.
• Coding
  • Uses debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives and identifies root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.
  • Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers’ skills with minimal guidance. Reviews code in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews. 
• Design
  • Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Owns or collaborates with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.
  • Creates a clear test strategy that ensures solution quality, prevents regression from being introduced into existing code with minimal supervision. Executes test plans that incorporate security testing to validate security invariants (including negative cases) with minimal supervision. Adds new tests to cover gaps, deleting or fixing broken tests, improving the speed, reliability, and defect localization of tests in the feature area. Builds testable code and considers testability during design for a set of features with minimal guidance. Understands the different types of tests that can be done on a particular system (e.g., unit tests), and maintains up-to-date understanding of testing architectures used both across Microsoft and across the industry. 
  • Identifies dependencies and incorporates them into the development of design documents for a product area with little oversight. Actively identifies other teams and technologies to leverage, how they interact, and where their own system or team can support others. Understands downstream interactions between systems. Contributes to collaborating with other teams to reach common goals where dependencies and validation concerns overlap.
• Engineering Excellence
  • Contributes to the identification of requirements for, and development of automation within production and deployment of a complex product feature, targeting zero-touch deployment when possible. Runs code in simulated, or other non-production environments to confirm functionality and error-free runtime for products with little to no oversight.
  • Applies best practices to build code based on well-established methods and secure design principles while also applying best practices for new code development and formal validation of security invariants. Follows best practices for product development and scaling to customer requirements and applies best practices for meeting scaling needs and performance expectations and security promises.
  • Ensures the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Checks for visible evidence (e.g., audit trail) to demonstrate compliance for product areas. Develops and holds an understanding of the implications of onboarding new technologies following expectations of compliance at Microsoft. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are met.
• Implement
  • Reviews work items to deepen knowledge of product features in partnership with appropriate stakeholders (e.g., technical program managers) and executes project plans, release plans, and work items. Contributes to efforts to break down larger work items into smaller work items and providing estimation. Escalates issues that might cause a delay. Ensures required security protections and detection processes are accounted for in planning with minimal guidance. Contributes to ensuring project plans adhere to security, privacy, and compliance requirements. Ensures all code for a set of product/solution features is properly flighted for quicker mitigation of production incidents with minimal supervision. Calculates capacity for planning, accounting for appropriate failover and backup/restore mechanisms for disaster recovery for a set of features with minimal guidance. Makes considerations for efficient operation of a set of features after it is live with minimal supervision. Contributes to establishing a rollback plan for a set of features.
  • Learns about and supports deployment to customers by following the correct measures to push features out to customers. Follows safe change deployment practices (e.g., ensuring that flights are set correctly) for their team to minimize adverse impact to users and other services with managerial guidance. Learns about and applies best practices for the deployment of features safely with managerial oversight and/or guidance from more experienced peers. Contributes to monitoring dependency status and ensuring that only the latest, secure versions are deployed. Identifies when rollback plans should be enacted for a product feature with direct supervision. Contributes to building deployment infrastructure to allow developers’ private builds for a product feature to be tested in a production-like environment.
  • Leveraging internal experimentation infrastructures, conducts experiments that determine the impact of changes, using feature flags/flighting in their code. Collaborates with internal partners (e.g., Data Science, product managers) to incorporate success and guard rail metrics for experimentation with minimal guidance.
• Reliability and Supportability
  • Maintains operations of live site service, following security best practices when responding quickly to mitigate issues while using the minimum required permissions to do so that arise on a rotational, on-call basis. Identifies solutions and mitigations to simple issues and complex issues when applicable impacting performance or functionality of live site services and escalates appropriately. With minimal supervision, improves troubleshooting guides (TSGs), wikis, tests, and telemetry to make on-call better, and recommends user-facing support documentation and additional test coverage to reduce likelihood of future user-initiated incidents. Contributes to enabling secure operations, security monitoring, and integration with live site investigation activities with minimal oversight. Identifies and proposes opportunities (e.g., lunch talks, automation, practices, tools) that can be leveraged to improve the live site experience with minimal guidance.
  • Identifies areas to contribute to efforts to integrate logging and instrumentation for gathering telemetry data on system behavior such as performance, reliability, availability, usage, and safety mechanisms, and for allowing monitoring and investigating security-related concerns and scenarios for both live and A/B experiments for products, services, and offerings. Leverages telemetry feedback and effectiveness to contribute to improving subsequent monitoring designs with minimal guidance. Contributes to efforts to classify and analyze data with little oversight on a range of metrics (e.g., health of the system, where bugs might be occurring), and helps to create outputs (e.g., notifications, dashboards) that improve monitoring and investigating security-related concerns and scenarios, system monitoring and/or issue identification and mitigation. Considers the privacy implications of telemetry code changes and adding new data points with minimal guidance.
  • Acts as a designated responsible individual (DRI), working on-call to monitor a system/product feature/service for degradation, downtime, or interruptions. Alerts stakeholders as to the status and gains approval to restore system/product/service for simple problems. Responds within service level agreement (SLA) timeframe. Escalates issues to appropriate owners.
• Understand User Requirements
  • Works with appropriate internal stakeholders (e.g., product manager, privacy/security subject matter expert, technical lead) to understand and determine customer/user requirements for a set of features. Incorporates customer insights into future designs or solution fixes with minimal supervision. Incorporates unwritten requirements, such as appropriate continuous feedback loops that measure actionable, quantitative (e.g., customer value, usage patterns, solution performance) and qualitative (e.g., accessibility, globalization) indicators of value. Understands, and begins providing feedback on, and advocating for the security and privacy needs of the customer who will be using the set of features.

Required Qualifications:

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

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

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

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Go or Python
  • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, Go or Python
  • OR equivalent experience.
• 2+ years of experience contributing to Chromium and/or open-source projects built using Ninja-based build systems.

#MicrosoftAI 

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

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

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

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

Business Management IC4 – The typical base pay range for this role across the U.S. is USD $96,500 – $188,400 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 $123,500 – $206,400 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.