Required Qualifications:

Data 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.

Microsoft AI is looking for an experienced product manager to drive the strategy, roadmap, and execution for our payment and wallet products. This role requires solid product thinking and development, track record of successfully shipping product from 0 to 1, success product and customer growth with at least 10M DAU, deep experience on payment and/or wallet space.

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.

• Is qualitatively and quantitatively data-driven and agile in seeking and using data for decision-making.
• Engages and influences with customers.
• Can explore opportunities and develop product strategy and roadmap based on business requirements.
• Able to identify ideal opportunities for external partnerships and lead discussions with potential external partners.
• Collaborates across organizational boundaries, building experiences our customers will love.

Required Qualifications:

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Deep expertise in the wallet and payments ecosystem, with a proven track record of successfully scaling products and services.
• Solid knowledge of payment processing and card network systems.
• Experience in developing products from inception to completion, with a focus on the product aspect and a thorough understanding of the business needs.
• Demonstrated expertise in identifying potential market opportunities and successfully launching products that meet market demands.
• Data-driven decision making and ability to thoughtfully experiment.
• Experience in online/web services environment.
• Experience working with customers, with ability to deeply understand customer needs and competitive landscape, to achieve the best outcomes for the customer.

#MicrosoftAI

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.

• Design, operate, and maintain large-scale HPC environments, drawing on hands-on engineering experience in production settings.
• Own the deployment, configuration, and day-to-day operation of HPC schedulers (e.g., SLURM, Kubernetes), ensuring reliable and efficient job scheduling at scale.
• Serve as a technical owner for at least one core HPC domain (GPU compute, high-performance storage, networking, or similar), including ongoing maintenance, performance tuning, and troubleshooting of massive clusters.
• Develop and maintain automation and tooling using Bash and/or Python to improve cluster reliability, observability, and operational efficiency.
• Partner closely with researchers and engineers to support their workloads, troubleshoot cluster usage issues, and triage failed or underperforming jobs to resolution.
• Drive work forward independently by navigating ambiguity and technical roadblocks, delivering incremental improvements that get capabilities into users’ hands quickly.
• Enjoy working in a fast-paced, design-driven product development environment, balancing stability with rapid iteration and experimentation.
• Embody our Culture and Values.  

Required Qualifications:

• Do you have a Bachelor’s degree in computer science, or related technical field AND 4+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 4+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,
  • OR equivalent experience? 

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with deploying or operating on-premise or cloud high-performance clusters, AND 6+ years experience working with high-scale training clusters (ex. working with frameworks/tools such as nvidia InfiniBand clusters, SLURM, Kubernetes, Ray, etc.), AND 6+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP,

  • OR equivalent experience.
• Experience with LLM training clusters
• Experience working with AI platforms, frameworks, and APIs
• Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.
• Experience working with large-scale HPC or GPU systems (ex. NVIDIA H100/GB200 or equivalent).
• Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
• Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.
• Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
• Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.
• Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies.
• Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
• Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

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 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.

Microsoft AI is seeking an experienced HPC Operations Engineering Manager to join our Infrastructure Team. In this role, you’ll lead a team of Site Reliability Engineers who blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Microsoft Superintelligence Team

Microsoft Superintelligence Team’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. This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence — ultra-capable systems that remain controllable, safety-aligned, and anchored to human values.

Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society — advancing science, education, and global well-being. We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in — come and join us as we work on our next generation of models!

By applying to this Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. 

• Team leadership: Lead a team of experienced SREs to ensure uptime, resiliency and fault tolerance of AI model training and inference systems.
• Observability: Design and help maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
• Automation & Tooling: Lead building of automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
• Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
• Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
• Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Required Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with Site Reliability Engineering, DevOps, or Infrastructure Engineering Leadership roles AND 8+ years experience with Kubernetes, Docker, and container orchestration, AND 8+ years experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code, AND 6+ years experience with programming/scripting skills not limited to Python, Go, or Bash
  • OR equivalent experience

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience AND 10+ years experience with Kubernetes, Docker, and container orchestration, AND 10+ years’ experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code
  • OR equivalent experience.

• 6+ years people management experience.
• Experience in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.)
• Experience running large-scale GPU clusters for ML/AI workloads
• Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators).
• Knowledge of CI/CD pipelines for Inference and ML model deployment
• Solid knowledge of distributed systems, networking, and storage
• Familiarity with ML training/inference pipelines.
• Background in capacity planning & cost optimization for GPU-heavy environments

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

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

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

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

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.

Microsoft AI (MAI) is seeking experienced Member of Technical Staff – Copilot AI Evaluation Engineering Manager to lead building our LLM evaluation solutions for Copilot. You’ll work in a deeply iterative, collaborative, fast-paced environment to improve our technology for millions of users around the world. You will lead a team of talented software engineers and applied AI engineers to deliver world-class evaluation solutions that are secure, reliable, and scalable, while collaborating closely with cross-functional teams including Product and Research. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs.

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.

• Hire, manage, and lead a team of software engineers, AI engineers, and machine learning engineers responsible for delivering world-class LLM evaluation solutions.
• Collaborate with Eng and Product leadership to prioritize features and improve our world-class AI companion to the world
• Design and build evaluation platforms, novel evaluation techniques, and agentic solutions for measuring and improving copilot quality.
• Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
• Embody our Culture and Values.

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 

Preferred Qualifications

• Bachelor’s Degree in Computer Science, or related technical discipline AND 8+ 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.
• 3+ years people management experience. 
• Hands on experience with ML and/or AI evaluation OR equivalent experience.
• Experience leading engineering teams to deliver large-scale software systems, preferably in AI, machine learning, graphics or related fields. 
• Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. 
• Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture. 
• Have strong opinions about best investments to make in establishing the most delightful and performant AI companion engineering system.

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

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

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

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

Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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.

• Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

#MicrosoftAI #Microsoftadvertising

Customer Experience Program Mgmt 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.

Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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.

• Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

#MicrosoftAI #Microsoftadvertising

Customer Experience Program Mgmt 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.

Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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.

• Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

#MicrosoftAI #Microsoftadvertising

Customer Experience Program Mgmt 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.

Microsoft Advertising is at the forefront of the digital advertising industry and empowers advertisers around the world to reach and expand their potential through our full-funnel digital marketing solutions.  Microsoft properties such as Edge, Bing, MSN, Copilot, and our 3P partner network offer advertisers access to target audiences.

We are seeking a SMB Demand Planner to join our team. This role delivers high quality advertiser demand for available audience supply and advertising product opportunities on the Microsoft Advertising Platform.  As a trusted advisor to field and operation teams, you will use analytical and collaborative skills to identify demand opportunities for acquisition and growth; share insights; drive programs and support prioritization.

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.

• Convert supply and product opportunity areas into demand priorities for the SMB segment. Done in collaboration with key stakeholders, and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service).  Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts. Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams. Identify and propose incentive/ acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

Preferred Qualifications:

• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development
  • OR equivalent experience.

#MicrosoftAI #Microsoftadvertising

Customer Experience Program Mgmt 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.

Microsoft AI is looking for an experienced product manager to drive the strategy, roadmap, and execution for our payment and wallet products. This role requires solid product thinking and development, track record of successfully shipping product from 0 to 1, success product and customer growth with at least 10M DAU, deep experience on payment and/or wallet space.

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.

• Is qualitatively and quantitatively data-driven and agile in seeking and using data for decision-making.
• Engages and influences with customers.
• Can explore opportunities and develop product strategy and roadmap based on business requirements.
• Able to identify ideal opportunities for external partnerships and lead discussions with potential external partners.
• Collaborates across organizational boundaries, building experiences our customers will love.

Required Qualifications:

• Bachelor’s Degree AND 2+ years experience in product/service/program management or software development
  • OR equivalent experience.
• Deep expertise in the wallet and payments ecosystem, with a proven track record of successfully scaling products and services.
• Solid knowledge of payment processing and card network systems.
• Experience in developing products from inception to completion, with a focus on the product aspect and a thorough understanding of the business needs.
• Demonstrated expertise in identifying potential market opportunities and successfully launching products that meet market demands.
• Data-driven decision making and ability to thoughtfully experiment.
• Experience in online/web services environment.
• Experience working with customers, with ability to deeply understand customer needs and competitive landscape, to achieve the best outcomes for the customer.

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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.