Senior Product Manager – Microsoft AI Search
Senior Product Manager – Microsoft AI Search
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Microsoft AI is redefining search at global scale. On Bing, we’re building AI‑first, whole‑page experiences—combining world‑class UX, rigorous experimentation, and responsible AI for millions of users every day.
Search is one of the most used products in the world—and it’s being fundamentally reinvented. Bing sits at the center of that shift, blending trusted search with AI‑powered experiences. This role puts you directly in the critical path of that transformation.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Understand how users really use search—what satisfies them, what frustrates them, and what drives long‑term business outcomes.
- Drive product features that bridge traditional search and an AI‑first world, ensuring coherence across experiences.
- Bring solid UX judgment, paired with enough backend understanding to make sound product tradeoffs.
- Be AI‑first in everything you do—from analysis and problem framing to solution design—while understanding the probabilistic nature of AI systems.
- Identify and size feature opportunities, build compelling product narratives, create execution plans, and prioritize creatively.
- Design and run experiments to demonstrate measurable user and business impact.
- Monitor, analyze, and interpret product usage and engagement signals.
- Collaborate with various roles from Engineering, Design, Data Scientists to Leadership with curiosity, empathy and for impact.
- Influence senior leadership through clear storytelling, data, and insights.
- Maintain a solid understanding of the industry landscape, evolving search behaviors, and ecosystem trends.
- Plan rigorously and deliver consistently in a fast‑moving environment.
- Navigate disagreement productively — knowing when to push, when to nudge, and when to commit.
- Take initiative and make things happen, even when the path is not fully defined.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
- OR equivalent experience.
Preferred Qualifications:
- Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
- OR equivalent experience.
- 4+ years of experience driving measurable product improvements in market through experimentation, iteration, and data‑informed decision making.
- Experience evolving an established product or market, including modernizing existing experiences rather than building greenfield only.
- Experience working on AI‑powered, data‑driven, or intelligent consumer products (deep ML expertise not required).
- Solid partnership experience with design, engineering, and data science teams.
- Ability to influence outcomes through storytelling, insights, and judgment, rather than formal authority.
- Experience working on AI‑powered or intelligent consumer experiences, with an understanding of probabilistic systems (deep ML expertise not required).
- Solid UX and product craft instincts, including experience shaping layouts, interaction patterns, or end‑to‑end user journeys.
- Hands‑on experience with experimentation frameworks (A/B testing, staged rollouts, hypothesis‑driven development).
#MicrosoftAI #Bing #AI #MAI #Copilot #UX #Search
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.
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Sr Account Executive(Advertising)
Principal Software Engineer
Member of Technical Staff, AI Product, Android Engineer
Principal Software Engineer
Principal Software Engineer
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- Job Number
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Microsoft Advertising is seeking a highly experienced Software Engineer to join our Ads Engineering Platform team to design and build next-generation Ads products that drive revenue growth and create innovative advertising experiences for users and advertisers.
You will play a key role in evolving the core capabilities of our ad-serving infrastructure—the engine that powers advertising across Bing Search, MSN, Microsoft Start, and shopping experiences in Microsoft Edge.
Our serving stack operates at massive global scale, delivering millions of ad requests per second through a geo-distributed, low-latency system that integrates real-time bidding, intelligent ranking, and ML-driven decisioning pipelines. We leverage a mix of CPU and GPU-based inference to balance latency, throughput, and cost efficiency.
This role combines product innovation, distributed systems architecture, and performance engineering. You will help shape both new monetization capabilities and the next generation of model serving infrastructure that powers them.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and build new Ads products and monetization capabilities that unlock incremental revenue and enhance advertiser and end-user experiences.
- Lead the development of large-scale, distributed online serving systems to process millions of ad requests per second with ultra-low latency and high reliability. Architect and evolve ML-powered ranking and inference platforms across CPU and accelerator-based environments.
- Optimize end-to-end performance across model serving, batching, caching, scheduling, and traffic management to improve latency and cost efficiency. Drive system-level performance tuning using profiling, instrumentation, and production telemetry—improving tail latency and resource utilization.
- Own live-site reliability as a DRI for critical services in globally distributed systems.
- Collaborate with product and data science teams to translate business goals into scalable technical architecture. Mentor engineers and influence architectural direction across the Ads platform organization.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with Ads platforms, real-time bidding systems, or large-scale monetization systems.
- Familiarity with GPU performance optimization concepts such as batching strategies, memory movement, model quantization, and efficient resource scheduling.
- Experience with experimentation platforms (A/B testing), traffic ramping, and live-site incident management.
- Background in geo-distributed, high-availability production systems operating at Internet scale.
- Proifcient experience designing and operating real-time online serving or ranking systems.
- Proficient understanding of distributed systems fundamentals: concurrency, multi-threading, memory management, networking, and fault tolerance.
- Experience building or operating production ML inference systems, including performance optimization across CPU and/or GPU-based environments.
- Demonstrated ability to diagnose performance bottlenecks and improve latency, throughput, and cost efficiency in high-traffic systems.
- Proficient system design skills with the ability to translate product requirements into scalable technical solutions.
#MicrosoftAI
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.
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Principal Software Engineer
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With continued growth in digital data and the desire to leverage data to address problems that touch all aspects of our lives, Microsoft’s AI team (MAI) is growing to meet these challenges! The AI team is hiring experienced engineers to join agile and diverse engineering teams in Bing part of MAI.
As a Software Engineer in Bing, this opportunity will allow you to accelerate your career growth, develop deep business acumen, hone your selling skills, and become adept at deal structuring.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Works with appropriate stakeholders to determine user requirements for a feature.
- Supports identification of dependencies, and the development of design documents for a product feature with oversight.
- With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable.
- Assists and learns about breaking down work items into tasks and provides estimation.
- Acts as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
- Reviews current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
Qualifications
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.
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.
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.
#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.
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Principal Software Engineer
Principal Software Engineer
- Location
- Job Number
- City
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- Country
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The Microsoft Web Data Platform Team is looking for a Principal Software Engineer to help us revolutionize the future of web document processing and rendering!
At Web Data Document Processing & Rendering team, you’ll play a key role in building cutting-edge batch and streaming systems as part of our platform that powers Bing Search and Microsoft AI training scenarios, empowers data scientists to seamlessly integrate their machine learning models, driving transformative insights at massive scale. Here you will be working with eye-popping scales, processing tens of billions of documents per day and managing hundreds of petabytes of data. The opportunity to make an impact on millions of users with each feature you ship is truly motivating.
In today’s AI-driven world, where data is more valuable than ever, we’re embarking on an exciting mission to elevate our platform, scaling it even further to unlock new possibilities and serve a growing array of use cases and customers. If you’re passionate about building high-performance systems that shape the future of data processing, this is the place for you!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- AI & Coding: Uses AI tools responsibly, follows coding standards, writes maintainable code, and participates in code reviews.
- Debugging & Incidents: Uses logs, tests, and telemetry to detect issues and supports incident analysis and fixes.
- Design & Testing: Assists with design exploration, understands system tradeoffs, and supports test strategies and automation.
- Security & Engineering Excellence: Applies secure design principles, compliance requirements, and security best practices.
- Implementation & Deployment: Breaks down work, follows safe deployment and rollback practices, and supports production readiness.
- Operations & User Focus: Supports live-site operations, improves observability, respects privacy, and incorporates user requirements.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience in distributed large scale platforms OR streaming systems.
#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.
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Principal Software Engineer
Principal Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
The Microsoft AI Web Data team is looking for a Principal Software Engineer to help us build the next generation platform for Bing and Microsoft AI. In Web Data, we are on a mission to build the most vast, safe, and accurate model of the Web to power search and AI. We are pushing frontiers of scalability and index quality by creating models and systems for discovering, storing, processing Web content, protecting our users & platform from Spam, Scams, and malware by keeping a step ahead of bad actors, and operating AI solutions. Our core set of engineering challenges includes:
Discovering diverse content on the Web quickly and efficiently by understanding the structure and dynamics of the Web and optimizing crawl scheduling
Building Big Data pipelines, creating ML and AI models for index selection, and determining document quality
Building complex, Big Data pipelines, creating and deploying ML & AI models at Web scale for improving Safety by recognizing various forms of SEO Spam, Scams, Malicious webpages with exceptional Precision and Recall despite the rarity, and constant adversarial battle against bad actors.
Designing and implementing models and pipelines for near-real time (NRT) indexing and content freshness
Designing and implementing methods for leveraging AI in platform and backend solutions
This is a great opportunity for someone who loves to tackle deep technical challenges and strives for industry-wide impact. Someone who has the skill, will, and perseverence to steer a highly complex system, with many interdependencies, towards a better design. At this role, you would be advancing the platform and pipelines that powers the MAI Web Data’s Safety systems, in a fundamentally new, modern direction. You’d be instantiating new technology into production to address Web Data product needs of the future. You will work on the design, development, execution, and implementation of technology at massive scale. You will work with Applied Scientists to develop, evaluate, operate, and/or deploy algorithms and solutions to improve or contribute to the creation of features and models with the highest system performance, quality, data management, and accuracy.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- You will partner with stakeholders within Safety, Web Data, and partner teams, to determine requirements, lead the identification of dependencies and the development of design documents, and drive project plans, release plans, and work items.
- You will lead by example, and mentor other engineers to produce extensible, scalable, high performance, resilient, and maintainable design and code.
- You will inspire accountability as a Designated Responsible Individual (DRI), mentoring engineers across teams, monitoring system/product/service for degradation, downtime, or interruptions, and proactively improving them.
- You will promote innovation and engineering excellence by seeking and sharing new knowledge and adapting to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale, and sharing knowledge with other engineers and improving developer agility.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
Additional or Preferred Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, Python
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with processing Terabyte to Petabyte scale data with efficient algorithms for feature engineering, and experience with optimizing for high inference ROI and deploying AI/ML models including, but not limited to, Decision Tree and Forest models, encoder only and generative LLM/SLM models, multi-modal models, on NVIDIA, AMD, TPU or equivalent accelerators.
- 3+ years of hands-on experience working with big data technologies (e.g., Hadoop, Spark, Kafka) or building highly scalable backend systems (e.g., distributed systems, microservices architecture, cloud-native services)
- Familiarity with Search stack and Grounding stack for AI Assistants, black-hat SEO and malicious techniques targeting traditional & generative search, and AI Assistants.
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.
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Senior Event Coordinator – Microsoft AI
Senior Event Coordinator – Microsoft AI
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- Team
- Country
- Discipline
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We’re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
As Senior Event Coordinator for the Microsoft AI team, you will play a pivotal role in fostering a team culture that is vibrant, inclusive, and high-performing work environment. You’ll manage strategic operations, new hire onboarding experience, elevate cultural engagement, site level events and design scalable processes that support organisational growth.
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.
This role is based in Redmond, WA; you must be in the office four days per week.
Responsibilities
- Meetup Strategy Planning & Execution plan each Redmond Meetup for the MAI organization that creates an effective, welcoming and well executed meetup experience. Responsibilities include: location booking (onsite), catering, AV booking and hands on support.
- Team Culture & Collaboration Foster an inclusive, empowering environment where individuals feel supported to grow, collaborate freely, and contribute to shared success.
- Onsite Events & Experiences Create moments that matter for the MAI employees in the Redmond office. Examples include: Meetups, Social Connect Events, Networking, and Annual Events. Help drive connection to one another, MAI brand love and ensure top talent remains top talent in our organization.
- Operational Excellence Manage and enhance day-to-day operations by identifying improvement opportunities and implementing streamlined processes that promote efficiency and impact.
- Cultural Development Foster an inclusive culture that celebrates inclusion and prioritises values-driven decision-making to drive engagement and belonging across the team.
- Strategic Communication Build trusted relationships through exceptional communication, influence, and collaboration with internal and external stakeholders.
- Adaptability & Agility Steer the team through change by modelling resilience, pivoting strategies, and ensuring continuity during uncertain or evolving circumstances.
Qualifications
Required Qualifications
- Bachelor’s Degree in Business, Operations, Finance, or related field AND 4+ years experience in process management, or process improvement OR equivalent experience.
Preferred Qualifications
- 5+ years’ experience in event planning and program management
- Experience in operations, culture strategy, or organisational development
- Leadership capabilities with a talent for motivating teams and building culture
- Budget management skills
- Communication and interpersonal skills
- Ability to work cross-functionally and influence stakeholders at all levels
- Analytical mindset with experience in using data for strategic decision-making
- Comfortable with ambiguity and change, with a proactive and solutions-oriented approach
Business Program 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.
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Sr Account Executive(Advertising)
Principal Software Engineer
Member of Technical Staff, AI Product, Android Engineer
The Bing organization is looking for a Data and Applied Scientist for its online metric team. The team is pushing the boundaries regarding online A/B experimentation capabilities and methods, as well as informs our understanding for how users engage with search engines and integrated AI experiences, and then translates the insights into actionable metrics. These metrics provide direction to the the Bing and MAI organization and help engineers make the right ship decisions for their thousands of online controlled experiments.
Hundreds of millions of users visit Bing.com worldwide monthly, and we have a large opportunity to grow further. 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 data and applied scientist in this team, you will have the chance to work on and deliver metrics that drive the direction of major Bing initiatives. You will have the chance to be involved in the analysis and decision making for 1000s of online controlled A/B experiments. Come join us!
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design, analyze, and interpret A/B online experiments to evaluate user engagement and generate actionable, trustworthy insights that inform product decisions.
- Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends.
- Develop and monitor key success metrics to measure and improve Bing customer satisfaction, engagement, and retention.
- Formulate data-driven strategies to understand correlations among critical Bing metrics and deliver clear, rigorous ship decisions.
- Effectively communicate analytical methodologies, data visualizations, and evidence-based recommendations across cross-functional teams to drive alignment and impact.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ 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 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- Experience with SQL-like query languages.
- Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++ .
- Ability to work independently, influence others, and solid communication and collaboration skills.
- Familiarity with search engines, dealing with online instrumentation.
- Experience with large datasets and interest in consumer online search behaviors.
- Experience with building machine learning models on large scale data.
#MicrosoftAI #Search #MAI #nextplay
Data Science 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.
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Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team
Member of Technical Staff, Multimodal Infrastructure – MAI Superintelligence Team
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Microsoft AI is looking for a Member of Technical Staff, Multimodal Infrastructure to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI.
Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. The foundational models require large compute-capacity, and as a Member of Technical Staff – Multimodal Infrastructure you would be responsible to build large-scale infrastructures to support the full cycle of the multimodal generative model development in our innovative products. You will work closely with research scientists and product engineers on multimodal data processing, model training, inference and serving tasks. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI.
Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
Design, develop and maintain large-scale multimodal data processing pipelines.
Design, develop and maintain large-scale multimodal model pretraining and post-training frameworks.
Design, develop and maintain large-scale multimodal model inference and serving frameworks.
Work with research scientists and product engineers to solve infra-related problems.
Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
Enjoy working in a fast-paced, design-driven, product development cycle.
Embody our Culture and Values.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
Preferred Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience
- Experience in multi-modal data processing:
- Strong proficiency in distributed data processing infra (resource utilization management, fault tolerance, ray & spark) and CPU/GPU batch processing optimizations
- Experience with state-of-art model inference and serving frameworks
- Experience with image/video/audio data processing
- Experience with common data formats for efficient I/O
- Experience in multi-modal pretraining and post-training:
- Strong proficiency in deep learning frameworks such as PyTorch, Megatron and Deepspeed
- Knowledge of auto-regressive and diffusion transformer models
- Experience with distributed training techniques such as data parallelism, model parallelism, and pipeline parallelism
- Proven experiences in at least one of the following areas: image/video generation and editing; efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO)
- Experience in multi-modal inference and serving:
- Strong proficiency in serving frameworks such as vLLM, TensorRT-LLM, SGLang, xDiT, Cache-DiT etc.
- Knowledge of distillation techniques such as Progressive Distillation, DMD, Self forcing etc.
- Knowledge of quantization and compression techniques like AWQ, GPTQ, and FP8 for multi-modal pipelines
- Experience in distributed inference scaling across multi-node clusters using Ray Serve and Triton
- Experience in leading technical projects and supporting architectural decisions with data
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.
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Senior Product Marketing Manager
Senior Product Marketing Manager
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Microsoft AI Monetization is building the future of responsible, intelligent monetization—empowering customers, partners, and developers through innovative platforms that are privacy-resilient, data-informed, and deeply customer-centric. Our organization spans a wide range of monetization experiences and infrastructure, including advertising, publisher, measurement, identity, privacy, and CRM/martech solutions.
We are looking for a Senior Product Marketing Manager to join our team and lead customer listening, go-to-market strategy, positioning, and adoption for one or more critical areas within our Publisher and Platform portfolio. This could include products such as Microsoft Clarity, Microsoft Monetize, Microsoft Curate, third-party DSP integrations, privacy and identity solutions, and CRM/martech solutions.
This is a strategic, high-impact role for a seasoned marketer who thrives at the intersection of product, customer, and market. You will partner closely with product management, sales, and marketing teams to shape product direction, craft compelling value propositions, and drive adoption through thoughtful go-to-market execution. You’ll bring clarity to complexity, advocate for customer needs, and help define how Microsoft delivers value to our customers and partners.
If you are passionate about building scalable, customer-centric platforms and want to help shape the future of advertising technology, we’d love to hear from you.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Customer Listening & Market Insights: Lead customer listening strategies and market intelligence efforts to uncover growth opportunities, inform investment priorities, and shape the product roadmap. Partner with field teams to engage directly with clients, synthesize feedback, and translate insights into actionable recommendations. Conduct competitive analysis to assess market dynamics, identify Microsoft’s differentiation, and anticipate business implications. Drive the development of insights from user research, industry trends, and market signals to influence product and business decisions.
- Product Positioning, Messaging & Value Proposition: Define and evolve differentiated product positioning and value propositions that resonate with customer needs and business outcomes. Develop clear, compelling messaging frameworks supported by proof points and aligned across internal stakeholders. Enable partner teams with client-facing narratives and assets, and contribute to marquee product launches through blog posts, event presentations, and other storytelling formats.
- Go-to-Market Strategy & Execution: Lead cross-functional v-teams to develop and execute go-to-market strategies that drive product adoption, customer satisfaction, and business impact. Set clear goals and success metrics, and orchestrate marketing and sales motions across channels. Plan and deliver high-impact launch strategies, leveraging key industry moments and first-party events to maximize visibility and engagement.
- Enablement & Scaling: Ensure internal teams—including Sales, Marketing, and Learning & Development—are equipped with the knowledge and tools to effectively communicate our roadmap, positioning, and value. Lead strategic training sessions and develop scalable enablement materials that drive clarity, confidence, and excitement around product offerings.
- Growth Mindset & Inclusive Innovation: Champion a culture of continuous learning and inclusive thinking. Proactively seek feedback from diverse customers and stakeholders to uncover new opportunities and reduce bias in AI-driven products. Foster open dialogue, encourage reflection, and ensure all voices are heard in shaping product and marketing strategies.
Qualifications
Required Qualifications:
- Master’s Degree in in Marketing, Computer Science, Business or related field AND 3+ years experience in business
- OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in business
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business
- OR Bachelor’s Degree in Marketing, Computer Science, Business or related field AND 8+ years experience in business
- OR equivalent experience.
- 3+ years of experience in Product Marketing, Product Management, or similar roles, leading cross-organizational teams and working with Engineering partners.
- 3+ years of experience in applying different customer listening approaches to inform and influence product development.
- 3+ years of experience in product positioning and value proposition, with experience in leading differentiated value propositions and translating complex features into compelling narratives.
- Experience in Advertising, Monetization & Publisher Ecosystems: Committed understanding of the digital advertising landscape—across agency, publisher, or brand perspectives. Experience with publisher platforms and monetization strategies is especially valuable. Familiarity with alternative models such as subscriptions is a plus.
- Strategic Agility & Adaptability: Demonstrated ability to navigate ambiguity, iterate on new concepts, and respond effectively to changing priorities. Brings a growth mindset, curiosity, and a proactive approach to exploring new ideas and business models.
- Cross-Functional Collaboration & Influence: Experience working across teams to build alignment, drive shared outcomes, and resolve complex issues. Skilled at fostering solid partnerships and communicating effectively with diverse stakeholders.
- Analytical & Data-Driven Decision Making: Solid problem-solving skills grounded in data. Able to identify trends, generate hypotheses, and test solutions to inform strategy and scale impact.
- Go-to-Market Innovation & Category Development: Experience launching disruptive products and driving demand for new or emerging product categories. Skilled in crafting go-to-market strategies that shape market perception and accelerate adoption.
- AI & Emerging Technology Familiarity: Exposure to generative AI products—professionally or as a power user. Understanding of AI agents and their potential in marketing and advertising scenarios. Awareness of the evolving AI landscape and its implications for monetization.
#MicrosoftAI #maimonetization
Product Marketing IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 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.
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Principal Product Manager – Publisher Content Marketplace
Principal Product Manager – Publisher Content Marketplace
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We’re building a first-of-its-kind Content Marketplace that connects AI builders (LLMs, copilots, chatbots, enterprise AI apps) with high-quality content and data sources in real time. The marketplace enables LLMs to ground their responses in fresh, authoritative, and diverse content while ensuring publishers and creators are fairly rewarded.
We’re looking for a Principal Product Manager – Publisher Content Marketplace – to own and represent the needs of our AI consumers — from large model providers to independent builders. You will define how AI systems access, value, and pay for grounding content, and ensure that marketplace pricing, policies, and performance are shaped by measurable demand-side outcomes.
This role sits at the intersection of product, economics, and experimentation – ideal for a PM who enjoys building 0 to 1, is a self-starter and thrives in ambiguity.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Represent AI builder needs
- Act as the voice of AI builders in marketplace design – ensure the platform supports a wide range of grounding use cases (chatbots, copilots, enterprise bots, search models, etc.).
- Collaborate closely with Business Development (BD) and partnership teams during demand-side negotiations to translate customer requirements into product and pricing features.
- Define and evolve access tiers, usage models, and APIs that meet enterprise and model-builder needs for quality, latency, and transparency.
- Define Grounding Value metrics
- Work with data science and applied research teams to define quantitative measures of grounding quality (e.g., accuracy uplift, hallucination reduction, factual recall, response satisfaction).
- Partner with supply PMs to translate these into value signals that inform payout to content providers.
- Design and Lead Experiments
- Drive the experiment roadmap for understanding grounding & content value, partnering with engineering and applied science teams to progress on the road to true price discovery over time.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 8+ years experience in product/service/program management or software development
- OR equivalent experience.
Preferred Qualifications:
- Bachelor’s Degree AND 12+ years experience in product/service/program management or software development
- OR equivalent experience.
- Deep familiarity with LLM grounding, RAG systems, or data retrieval APIs.
- Solid analytical and experimental mindset — experience running A/B or cluster experiments, defining metrics, and interpreting results.
- Background in economics, data science, or applied experimentation (e.g., causal inference, pricing models, or marketplace dynamics).
- Ability to collaborate across engineering, BD, and research functions.
- Excellent communication — able to translate technical and economic concepts into executive language.
- Drive industry partnerships, advocate for publisher interests, define common interoperability standards, and work with forums and alliances to make AI content usage scalable and sustainable.
#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.
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