Senior Software Engineer
Senior Software Engineer
- Location
- Job Number
- City
- Team
- Country
- Discipline
Overview
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.
Responsibilities
- 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.
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.
- 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 #BingAds
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.
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The Bing organization is looking for a Principal Data and Applied Scientist for its online metric team. The team is pushing the boundaries of online A/B experimentation capabilities and impact measurement 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 Bing and MAI organization and help engineers make the right ship decisions for their thousands of A/B experiments.
Bing.com reaches about a billion people worldwide, 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 at the center of what defines our decision-making processes and is an excellent opportunity to make a multiplicative impact across 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
- Drive innovation in large-scale online A/B experimentation for AI-powered web search, designing, building, and monitoring success metrics that directly measure user satisfaction, trust, and long-term retention across Bing experiences.
- Serve as a technical visionary and thought leader in online experimentation, shaping the future of product learning through research-driven, AI-enabled approaches that support trustworthy, agile, and evidence-based decision-making at global scale.
- Provide senior technical leadership and deep industry perspective, guiding cross-functional partners in the adoption of advanced experimentation platforms, causal inference techniques, and modern data science methodologies to deliver high-impact, scientifically rigorous experimentation programs.
- Build and scale advanced experimentation expertise across teams, spanning specialized tools, statistical methods, and ML-driven evaluation frameworks, to drive measurable business outcomes and extend the reach and impact of Search’s end-to-end experimentation ecosystem.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Additional or Preferred Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 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.
At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you’re passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you.
#MicrosoftAI #Search #MAI #nextplay #searchjobs
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.
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The R&D of Search Ads aims to build an online advertising ecosystem of users, advertisers, and the search engine.
Bing Search Ads Understanding team is chartered to deliver world class algorithm using web scale data. Our mission is to drive user satisfaction, advertiser ROI and Bing revenue. A core challenge is to match advertisers’ “Ad display” and users’ “query” by build an intelligent system to really understand the users need. This is a very hard problem that demands the most advanced AI models and sophisticated engineering systems. Join us to work on projects highly strategic to Bing search in a fun and fast-paced environment!
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In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
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.
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- Design, develop, and maintain high-performance software in C/C++ and Python, including GPU programming with CUDA, ROCm, or Triton.
- Optimize model inference and training pipelines for speed, throughput, memory efficiency, and cost across GPU platforms.
- Collaborate with platform teams to integrate and tune solutions on emerging accelerator stacks and rapidly evolving toolchains.
- Profile workloads end-to-end, identify bottlenecks, and implement kernel-level and system-level performance improvements.
- Partner with internal and external stakeholders to translate requirements into scalable performance features and optimizations for state-of-the-art models.
- Validate performance, stability, and correctness through benchmarking, automated testing, and production readiness reviews.
Qualifications
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- 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, Python, CUDA, or ROCm
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- 3+ years’ practical experience working on applications that use GPUs, experience in optimizing their performance.
- Practical Experience writing new GPU kernels, going beyond experience of GPU workloads with existing library kernels.
- Cross-team collaboration skills and the desire to collaborate in a team of researchers and developers.
Preferred Qualifications:
- Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C/C++, CUDA, or ROCm
- OR Master’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++, CUDA, or ROCm
- OR equivalent experience.
- Experience in low-level performance analysis and optimization, including proficiency using GPU profiling tools such as NVIDIA Visual Profiler, and NVIDIA Nsight Compute.
- Technical background and solid foundation in software engineering principles and architecture design.
- Familiar with inference optimization, experience in developing popular inference framework such as TensorRT-LLM, SGLang, vLLM.
- Exposure to Deep Neural Network inference and experience in one or more deep learning frameworks such as PyTorch, Tensorflow, or ONNX Runtime.
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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- Optimize performance, scalability, reliability, and cost by identifying bottlenecks and driving improvements in availability, latency, throughput, and operational excellence.
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Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Design and develop core platform services for partner content onboarding, lifecycle management, data analytics, and revenue computation, ensuring correctness, extensibility, and measurable business impact.
- Lead architectural design and hands-on implementation of scalable distributed systems; drive high-quality engineering through design reviews, code reviews, testing, and secure-by-design practices.
- Collaborate cross-functionally with PMs, designers, and Applied AI/Science partners to translate requirements into technical specs and deliverables with clear success metrics and timelines.
- Integrate AI capabilities into the platform (e.g., intelligent automation, content understanding, analytics/insights pipelines) to improve relevance, quality, and operational efficiency.
- Optimize performance, scalability, reliability, and cost by identifying bottlenecks and driving improvements in availability, latency, throughput, and operational excellence.
- Mentor and influence engineers by providing technical guidance, unblocking execution, and continuously raising the bar on engineering craftsmanship and production quality.
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- 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
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- Solid computer science fundamentals and background knowledge in AI.
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We are inviting you to join the Microsoft Advertising Data Science Team. Microsoft Advertising platform is the single stop shop for all monetization needs for Publishers and Advertisers globally. Our team manages the marketplace, which includes monitoring business metrics, defining metrics, building analytical & experimentation frameworks, and enabling leadership to make data driven decisions. The team works across Engineering, Product and Business to address complex data science problems across users, advertisers, and publishers.
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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.
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#MicrosoftAI #MAI #DataScience #DataScientist #MicrosoftAds #Experimentation
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.
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We are looking for high-energy, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
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
- Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- Make independent decisions for the team and handle difficult tradeoffs
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
Preferred Qualifications:
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++.
- Organizational, analytical, data science skills.
- Problem solver: ability to solve problems that the world has not solved before.
- Interpersonal skills: cross-group and cross-culture collaboration.
- Experience with real world system building and data collection, including design, coding and evaluation.
- Excellent communication to be able to communicate insights to senior leaders.
- Experience with driving large collaboration across multiple teams.
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
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 #MAI #DataScience #DataScientist #MicrosoftAds #Experimentation
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.
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Senior Product Manager-MAI
Senior Product Manager-MAI
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI (MAI) we are pushing the boundaries of technology to create products that will change lives. We’re looking for a Senior Product Manager (PM) with proven technical and data skills to help build the next wave of capabilities of our personal AI, Copilot.
Do you have a knack for imagining ways AI can help people feel more supported and productive? Do you thrive in a fast-paced environment, take the initiative to solve problems, and lead with positive energy, empathy, and kindness? We’d love you to consider joining us. We’re a small, friendly team, who support each other to do our best work. We run lean, obsess about users, and always make our decisions based on the evidence. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
You will impact the experience of hundreds of millions of users by creating experiences for the Copilot app on PC, collaborating with internal and external partners to ship fast and innovate.
As part of the Copilot team, you will also have the opportunity to shape your own journey and think about meeting customer needs on Mobile, Web, and more. Our broader organization, Microsoft AI (MAI), is responsible for Copilot, Bing, Edge, and generative AI research. We combine world-class AI research together with top notch design and product craft.
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 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
As a Senior Product Manager, you’ll blend creativity, curiosity, and technical depth to help drive projects from concept to launch. You’ll partner closely with engineers, designers, other PMs, and AI researchers to turn ambiguous ideas into user‑delighting experiences.
You will:
- Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end‑to‑end development, launches, and iterations.
- Work through roadblocks and help teams ship quickly and iteratively.
- Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and AI model teams.
- Define success metrics, support experimentation, and use data to guide decisions.
- Dive into data to understand user behavior, product performance, and new opportunities.
- Communicate clearly and collaborate effectively across cross‑functional teams.
- Model our culture and values in daily work.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 5+ years of experience in product management OR equivalent experience.
Preferred Qualifications:
- Bachelor’s Degree AND 7+ years of experience in product management OR equivalent experience.
- Experience using AI tools to create products.
- Experience building consumer products for large screens (Windows / Mac / Web).
- Experience in personal productivity, search, education, or messaging products.
- Experience working with Machine Learning or Large Language Models.
- Ability to operate in a fast‑paced environment, manage multiple priorities, and adapt to changing requirements.
- Demonstrated ability to collaborate effectively and contribute to an inclusive, growth‑oriented team culture.
- Experience with data analytics and experimentation tools; familiarity with SQL or coding (Python, JavaScript) is a plus.
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)
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Senior Product Manager-MAI
Senior Product Manager-MAI
- Location
- Job Number
- City
- Team
- Country
- Discipline
At Microsoft AI (MAI) we are pushing the boundaries of technology to create products that will change lives. We’re looking for a Senior Product Manager (PM) with proven technical and data skills to help build the next wave of capabilities of our personal AI, Copilot.
Do you have a knack for imagining ways AI can help people feel more supported and productive? Do you thrive in a fast-paced environment, take the initiative to solve problems, and lead with positive energy, empathy, and kindness? We’d love you to consider joining us. We’re a small, friendly team, who support each other to do our best work. We run lean, obsess about users, and always make our decisions based on the evidence. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.
You will impact the experience of hundreds of millions of users by creating experiences for the Copilot app on PC, collaborating with internal and external partners to ship fast and innovate.
As part of the Copilot team, you will also have the opportunity to shape your own journey and think about meeting customer needs on Mobile, Web, and more. Our broader organization, Microsoft AI (MAI), is responsible for Copilot, Bing, Edge, and generative AI research. We combine world-class AI research together with top notch design and product craft.
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 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
As a Senior Product Manager, you’ll blend creativity, curiosity, and technical depth to help drive projects from concept to launch. You’ll partner closely with engineers, designers, other PMs, and AI researchers to turn ambiguous ideas into user‑delighting experiences.
You will:
- Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end‑to‑end development, launches, and iterations.
- Work through roadblocks and help teams ship quickly and iteratively.
- Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and AI model teams.
- Define success metrics, support experimentation, and use data to guide decisions.
- Dive into data to understand user behavior, product performance, and new opportunities.
- Communicate clearly and collaborate effectively across cross‑functional teams.
- Model our culture and values in daily work.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 5+ years of experience in product management OR equivalent experience.
Preferred Qualifications:
- Bachelor’s Degree AND 7+ years of experience in product management OR equivalent experience.
- Experience using AI tools to create products.
- Experience building consumer products for large screens (Windows / Mac / Web).
- Experience in personal productivity, search, education, or messaging products.
- Experience working with Machine Learning or Large Language Models.
- Ability to operate in a fast‑paced environment, manage multiple priorities, and adapt to changing requirements.
- Demonstrated ability to collaborate effectively and contribute to an inclusive, growth‑oriented team culture.
- Experience with data analytics and experimentation tools; familiarity with SQL or coding (Python, JavaScript) is a plus.
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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Senior Software Engineer – Full Stack
Senior Software Engineer – Full Stack
- Location
- Job Number
- City
- Team
- Country
- Discipline
Microsoft Clarity is a large scale user behavior analytics platform used by millions of websites to understand how users interact with their site. We are looking for a Full Stack Senior Engineer to help build and evolve Clarity’s high performance analytics platform, owning data accuracy, coverage, and efficiency while designing systems that operate safely at internet scale.
In this role, you will develop performance sensitive web and data platforms, build AI forward product experiences, and apply solid engineering fundamentals to deliver reliable, secure, and insight driven capabilities with minimal impact on customer sites. You will work closely with Product Managers, Designers, and Engineers to ship end to end features, influence architecture decisions, and raise the quality bar across the 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.
Responsibilities
- Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures.
- Apply solid JavaScript expertise to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites.
- Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints.
- Implement AI‑forward product features and use AI‑assisted engineering tools within the SDLC, applying solid engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability.
- Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact.
- Collaborate closely with product team to ship end‑to‑end features, contribute to architectural discussions, and uphold a high quality bar.
- Embody our Culture and Values.
Qualifications
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.
- 2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP
- Solid expertise in JavaScript / TypeScript, HTML, CSS and browser internals
- Solid understanding of web performance, accessibility, and cross‑browser compatibility
- Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code
- Familiarity with LLMs and AI ChatBots
- Prompt Engineering, Azure DevOps, GIT
- Solid problem‑solving skills and ability to work independently
- Experience in leading technical projects and supporting architectural decisions with data.
#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.
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