Mountain View, United States

Principal Machine Learning Engineer Principal Machine Learning Engineer

Location
Mountain View, United States
Job Number
200008111-en-3
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Principal Machine Learning Engineer, you will work on the Data Labeling and classification on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines. We’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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
  • Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
  • Generalize machine learning (ML) solutions into repeatable frameworks.
  • Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
  • Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
  • Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.


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:

  • 7+ years’ experience writing production-quality Python or Java or Scala code.
  • 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
  • 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
  • Demonstrated interest in Responsible AI.
  • Experience prompting, evaluating, and working with large language models.

#MicrosoftAI 

 #mai-datainsights #mai-datainsights



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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Member of Technical Staff – Data Engineer Member of Technical Staff – Data Engineer

Location
Mountain View, United States
Job Number
200010528-en-2
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Data Engineering
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for 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 (MS AI) is seeking a experienced Member of Technical Staff – Data Engineer – Microsoft AI – Copilot to help build mission critical data pipelines that ingest, process and publishes data streams from our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in big data processing technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective.  The Data Platform Engineering team is responsible for building core data pipelines that help fine tune models, support introspection and retrospection of data so that we can constantly evolve and improve human AI interactions.     

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
  • Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. 
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • 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 Cultureand Values.   


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
    • OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience. 
Preferred Qualifications:
  • 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.  
  • Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 
  • 3+ years experience with data governance, data compliance and/or data security.
  • 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
  • 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.   
  • 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.  
  • Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  

 #mai-datainsights #mai-datainsights



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.

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Member of Technical Staff – Software Engineer & Machine Learning Member of Technical Staff – Software Engineer & Machine Learning

Location
Mountain View, United States
Job Number
200014030-en-2
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.
 
We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

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
  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
  • Develop secure, compliant workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
  • Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.


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.

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.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI 

 #mai-datainsights #mai-datainsights



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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Senior Data Privacy & Governance Engineer Senior Data Privacy & Governance Engineer

Location
Mountain View, United States
Job Number
200017871-en-1
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

Microsoft AI (MAI) is seeking an experienced Senior Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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. 

 By applying to this this U.S. New York, New York, Redmond, WA OR Mountain View, CA position, you are required to be local to the New York, Seattle OR San Francisco area in office 3 days a week.

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.

Microsoft AI (MAI) is seeking an experienced Principal Data Privacy & Governance Engineer to help build mission applications and platform components for our personal AI, Copilot systems. We’re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in distributed systems and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. This role is pivotal in ensuring data integrity, regulatory compliance, and secure data usage across the organization.

Our newly formed organization, MAI, 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, 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 tools in the areas of data security, privacy and governance products in distributed data, cloud platform environments.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation automated data governance systems.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • 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 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.

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.
  • 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.
  • 4+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.
  • 3+ years experience in collaborating with engineering, product, legal, and compliance teams to embed privacy-by-design principles and build automated scalable governance mechanisms into our data infrastructure.
  • 3+ years experience in building data lineage tracking, proactive alerting mechanisms monitoring and enforce compliance with internal standards and external regulations.


#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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MTS – Site Reliability Engineer MTS – Site Reliability Engineer

Location
Mountain View, United States
Job Number
200012134-en-2
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview
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.
 
We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll 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’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
  • Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
  • Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
  • Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
  • Automation & Tooling: Build 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.


Qualifications

Required Qualifications

  • 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.

Preferred Qualifications

  • Strong proficiency in Kubernetes, Docker, and container orchestration.
  • Knowledge of CI/CD pipelines for Inference and ML model deployment.
  • Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
  • Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
  • Strong programming/scripting skills in Python, Go, or Bash.
  • Solid knowledge of distributed systems, networking, and storage.
  • Experience running large-scale GPU clusters for ML/AI workloads (preferred).
  • Familiarity with ML training/inference pipelines.
  • Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
  • Background in capacity planning & cost optimization for GPU-heavy environments.
  • Work on cutting-edge infrastructure that powers the future of Generative AI.
  • Collaborate with world-class researchers and engineers.
  • Impact millions of users through reliable and responsible AI deployments.
  • Competitive compensation, equity options, and comprehensive benefits.


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

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 Product Manager Principal Product Manager

Location
Mountain View, United States
Job Number
200022543-en-1
City
Mountain View
Team
Monetization
Country
United States
Discipline
Product Management
Overview
Microsoft AI is a customer-first organization building AI powered products in service of our customer’s business goals. The world is changing rapidly during this AI platform shift and we need Product Managers who can live in the future and bring back clarity to the present to guide our work.

As a Principal Product Manager – MAI Monetization, you will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use innovative technology in service of our customer.

We work within Microsoft AI (MAI), an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making.

One of the reasons Microsoft AI consistently brings innovative products to market is because of the collaborative work we do in Product Management. We work closely with talented engineers, designers, marketers, creatives, customers, partners, and go-to-market teams to design and develop products tailored for our customer’s benefit. We run lean, obsess about users, and make decisions based on evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

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 building world-class AI applications that will delight consumers and deliver business results.
  • Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
  • 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, customer-first, product development cycle.
  • Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.
  • Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
  • Embody our Culture and Values.


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.
  • 7+ years of experience building Ads products
  • 5+ years of building AI consumer products
  • 5+ years of experience in monetization products and B2B
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
  • 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI.
  • 5+ years experience delivering products that include full Search and/or Advertising technology stack.
  • 5+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).

#MicrosoftAI



Product Management IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $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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Member of Technical Staff – Fullstack Education Engineer Member of Technical Staff – Fullstack Education Engineer

Location
Mountain View, United States
Job Number
200015045-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

Empower Every Learner. Shape the Future of Education with Microsoft AI.Microsoft AI is building a new Education team within Consumer Copilot, and we’re looking for a passionate Fullstack Education Engineer to help us revolutionize how people learn. Our mission is bold and inspiring: empower every learner and every educator on the planet to achieve more through the transformative power of Microsoft Copilot.

 

This is a unique opportunity to join a brand-new product team at the forefront of AI innovation. You’ll design, build, and scale personalized, intelligent, and delightful learning experiences and systems—from elegant web interfaces to secure, performant backend services powering AI-driven education features across iOS, Android, and web.

 

We’re seeking someone who brings technical excellence, product intuition, and genuine empathy—someone who thrives in fast-paced environments, collaborates deeply across disciplines, and is energized by building world-class consumer experiences that reach learners everywhere.Our newly formed organization, Microsoft AI (MAI), 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.

 

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week.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
  • Build outstanding consumer-grade web applications using modern JavaScript/TypeScript, React, CSS, Node.js, and related technologies.
  • Design, build, and maintain secure, reliable, and scalable backend APIs powering Copilot’s education experiences across platforms.
  • Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences.
  • Use data insights to analyze user behavior, inform product decisions, and identify opportunities to unlock learner motivation, mastery, and delight.
  • Ship high-quality, well-tested, secure, and maintainable code across the full stack.
  • Find creative paths around ambiguity and roadblocks to ship value quickly and iteratively.
  • Thrive in a fast-paced, design-driven, product development environment with rapid experimentation and tight feedback loops.
  • Contribute to a team culture grounded in empathy, collaboration, inclusion, curiosity, and a growth mindset.


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, JavaScript, TypeScript, React, CSS, Node,js,  

Additional or preferred qualifications

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience building fullstack applications from the ground up, including architecture and deployment.
  • Work in consumer-facing education products at scale
  • Working knowledge of web browsers, web protocols, UI/UX principles, application architecture, and performance profiling.
  • Experience designing or implementing backend APIs, distributed systems, or service architectures.
  • Demonstrated success driving growth outcomes—acquisition, engagement, retention—with concrete examples of features or systems you’ve built.
  • Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI.
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.


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

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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Member of Technical Staff – Data Scientist Member of Technical Staff – Data Scientist

Location
Mountain View, United States
Job Number
200033999-en-2
City
Mountain View
Team
Copilot
Country
United States
Discipline
Data Science
Overview

GPUs are one of the most valuable resources in the world as they are a critical hardware component to power AI. As a data scientist at Microsoft AI, you will be tasked with helping us to maximize our GPU utilization while solving real issues in the AI frontier. Are you passionate about solving 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 an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. Please apply if you possess technical prowess, a methodical data driven approach to problem solving, and a mastery of templating to architect solutions that stand the test of time. We highly value people who will bring an abundance of positive energy, empathy, and kindness to the team every day. The abuse prevention team is responsible for identifying instances of abuse within copilot and blocking or mitigating those instances. You will be a critical component to keeping copilot safe and productive for all. 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.

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
  • Drive product insights, opportunity analysis, and track metrics to support eRorts across Microsoft Copilot.
  • Drive new ways of instrumenting and measuring impact to evaluate new feature performance through experimentation.
  • Define metrics and build basic data pipelines to enable A|B experimentation for new features and mitigating abusive users.
  • Handson analysis of large volumes of telemetry data using various algorithms and tools including your own
  • Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers
  • 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 fastpaced, designdriven, product development cycle.
  • Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving
    product features and proposing innovation solutions based on data.
  • Embody our Culture and Values.


Qualifications

Required 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. 

Preferred Qualification

  • Doctorate 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 Master’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 Bachelor’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 equivalent experience. 


Data Science 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

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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Member of Technical Staff – AI Product – Build Engineer Member of Technical Staff – AI Product – Build Engineer

Location
Mountain View, United States
Job Number
200024029-en-1
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

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. 

 

We are looking for a Build Engineer to design and improve the systems that transform source code into reliable, production-ready artifacts. This role focuses on build systems, CI pipelines, and developer workflows to ensure fast, reliable, and reproducible builds across our engineering organization. You will work closely with product engineers, platform teams, and infrastructure engineers to improve the efficiency and reliability of our development lifecycle. Build and release engineers play a critical role in the software lifecycle by defining the steps required to build, test, package, and release software reliably across environments.

 

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
Build Systems
  • Design and maintain scalable build systems and tooling
  • Optimize build performance, caching, and dependency management
  • Support cross-platform builds
  • Ensure deterministic and reproducible builds
CI/CD Pipeline
  • Build and maintain CI pipelines for automated builds and testing
  • Improve pipeline reliability and reduce build/test latency
  • Integrate build pipelines with release and deployment systems
Release & Artifact Management
  • Design artifact packaging and versioning systems
  • Support release automation and rollback strategies
  • Manage build metadata and release metrics
Build Reliability
  • Diagnose and fix build failures and flaky pipelines
  • Maintain build infrastructure and automation tooling
  • Collaborate with engineers to resolve build and dependency issues
 


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.
Preferred Qualifications
  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Experience building CI/CD pipelines and automation systems
  • Strong scripting skills (Python, Bash, or similar)
  • Sufficient in git version control, git-ops, Docker, Kubernetes
  • Familiar with common web toolchains like npm/pnpm, vite
  • Familiar with GitHub Actions and/or Azure DevOps
  • Strong debugging and problem-solving skills
  • Experience supporting large codebases or monorepos
  • Experience optimizing large build pipelines
  • Experience with remote build execution or distributed build systems


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

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 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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Director, AI Strategy & Operations Program Manager Director, AI Strategy & Operations Program Manager

Location
Mountain View, United States
Job Number
200026167-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Business Strategy
Overview

Microsoft AI’s Superintelligence team is building the most capable and safe AI systems in the world. We operate as a lean research lab inside Microsoft, developing proprietary frontier models that power products used by billions of people. 

 

 

The Strategy & Operations team sits within the Office of the CEO of Microsoft AI. We are a small, flat team of individual contributors – no layers, no management hierarchy. The team is a mix of former investment bankers, top-tier strategy consultants, and technical advisors, and we work directly on the problems that matter most to the organisation’s success. 

 

 

Our job is to identify what needs to change and make it happen. We shape the operating cadence for model development, drive compute and resource allocation decisions, produce competitive intelligence, and author the strategic analysis that informs leadership decisions. The work lands real outcomes – we don’t build decks that sit in a drawer. 

 

 

We are hiring a Director to join this team. 

 

 

What our team does 

 

  • Own competitive and market intelligence across the AI landscape. Track what matters, synthesise it into sharp briefs, and turn analysis into concrete recommendations that leadership acts on 

  • Shape and run the operating cadence for model development – organise decision forums, curate pre-reads, pressure-test proposals, and drive follow-through so decisions don’t stall 

  • Drive compute and resource allocation across strategic priorities. Understand what the organisation needs, where the constraints are, and how to get maximum impact from finite resources 

  • Coordinate execution across teams – partner with engineering, research, infrastructure, and product to unblock priorities, escalate risks early, and keep critical initiatives moving 

  • Author strategic analysis and recommendation memos. Translate complex technical and market dynamics into clear, evidence-based positions that leadership can act on 

  • Build relationships across Microsoft and with external partners, representing the team’s priorities and ensuring alignment on what matters 



Responsibilities
  • Sharp analytical skills with the ability to get up to speed on unfamiliar topics fast and form well-evidenced views. You’re comfortable being wrong and changing your mind when the data says so 

  • Strong written communication. You can produce a crisp two-page memo that executives reads end-to-end, not a 50-page deck they skim 

  • Comfort with ambiguity. The scope of this role will shift as priorities shift. You won’t always have perfect information, clear ownership boundaries, or a playbook to follow 

  • High agency. You notice what’s broken, figure out the fix, and drive it without waiting to be asked 

  • Genuine curiosity about AI and large-scale model development. You don’t need a PhD, but you do need to care about the technology and be willing to build real understanding of how frontier models are trained and deployed 

  • Humility. The team operates in service to the organisation. Strong opinions held loosely, low ego, and a willingness to do whatever the work requires – including the unglamorous parts 

This role will suit you well if you have 

  • Experience in strategy consulting, investment banking, private equity, corporate strategy, or a similar high-intensity analytical environment 

  • A track record of operating at pace in environments where the stakes are real and the decisions matter 

  • Experience working near senior leadership and producing materials that hold up under scrutiny 

  • The ability to work across technical and non-technical teams, translating between the two fluently 

This role probably isn’t for you if 

  • You’re drawn to this primarily for the brand or the title. We need people who care about the work itself 

  • You crave the limelight. This is ultimately a service-oriented role, in support of the organization as a whole rather than any individual successes 

  • Your experience is mostly in large, steady-state organisations where change moves slowly and decisions take quarters. The pace here is different 

  • You prefer clearly defined lanes and established processes. This team builds the processes – it doesn’t inherit them 

  • You’re looking for a traditional strategy role where the output is analysis. Here, the output is change 



Qualifications

 

  • Master’s Degree in Business Administration or related field AND 4+ years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organizations OR
  • Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 6+ years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organizations OR
  • Equivalent experience

Preferred Qualifications

  • Master’s Degree in Business Administration or related field AND 8+ years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organizations OR

  • Bachelor’s Degree in Business, Finance, Economics, Liberal Arts, Computer Science, or related field AND 12+ years of experience in marketing, strategy, business planning, consulting, banking, finance, economics, and/or partner organizations OR

  • Equivalent experience

  • 5+ years of experience in investment banking or a consultancy firm (e.g., Associate, Analyst, Consultant, or equivalent), or as a Program Manager

  • 3+ years of experience in strategy, management consulting, and/or finance



Business Strategy IC5 – The typical base pay range for this role across the U.S. is USD $130,900 – $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 – $272,300 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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English (United States)
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