Job Number
1970324837085538-en-1
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyse, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviours, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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.
Responsibilities
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, pre-processing, filtering, and annotation
- Analyse real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- Experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#copilot #microsoftAI
Job Number
1970324837085286-en-1
Help deliver one of the best foundational models in the world at Microsoft AI.
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Multimodal team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI.
We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. In particular, we are looking for candidates who:
- Have proven expertise in areas of interest, evidenced by an exceptional publication track record and/or significant technical leadership in high-impact projects.
- Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making.
- Have experience and/or in-depth understandings about large-scale distributed systems.
- Demonstrate an ability to work collaboratively in a fast-paced, innovative environment.
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
- Develop algorithms, design model architectures, conduct experiments, champion measurement and evaluation, innovate datasets and data pipelines
- Improve training and deployment efficiency, paying careful attention to detail, persevering, and learning from everyone’s attempts whether successful or not.
- Follow a rigorous data-driven approach grounded in meticulous ablation studies and scientific analysis
- Innovate and iterate over ideas, prototypes, and product.
- Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback
- Advance the AI frontier responsibly
- Embody our culture and values.
Required Qualifications
- Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work
- OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, or data engineering work
- OR equivalent experience.
- Expertise in multimodal Research with a strong publishing track record
#copilot #microsoftAI
Job Number
1970324837085287-en-1
Help us develop and train the cutting-edge models that are served in Copilot.
At Microsoft AI, we are on a mission to develop the most cutting-edge algorithms for post-training large language models (LLMs) and ship those models to millions of users using Copilot every day.
The AI Post–Training team at Microsoft AI is responsible for all aspects of post–training the models that we serve in Copilot, including: data collection, building evaluations that are aligned with our product and model capability goals, prototyping new capabilities to make Copilot more powerful, developing new finetuning algorithms to supercharge our models, working with platform and engineering teams to deploy those models, and closing the loop by improving the models with feedback we receive from our users. We work on the bleeding edge and leverage the most powerful pretrained models and algorithms for our needs. We are an interdisciplinary team of engineers and scientists, learning from each other and collaborating to create the best models and products.
We are looking for outstanding individuals excited about contributing to the next generation of models that will transform the field. We are looking for candidates who:
- Are passionate about shipping models into products that users will love
- Will thrive in a highly collaborative, fast-paced environment
- Have a high degree of craftsmanship and pay close attention to details
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies
- Are willing to meaningfully contribute as individuals with multiple responsibilities and can adjust to shifting priorities
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
- Develop data collection, evaluation, and finetuning methods for models.
- Design hypotheses and experiment plans for rapidly iterating on model performance.
- Prototype new model features and capabilities and collaborate with engineers and researchers across Microsoft AI to make them a reality.
- Collaborate with pretraining and product platform teams to establish good vertical integration and ship models that Copilot users love.
- Embody our culture and values.
Required/Minimum Qualifications
- · Bachelor’s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- Expertise in post-training of AI models
Additional or Preferred Qualifications
- Demonstrated experience in large-scale AI.
- Passionate about conversational AI and its deployment.
- 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 AI.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
- Proven research track record in a domain related field supported by exceptional papers
#copilot #microsoftAI
Job Number
1970324837085083-en-3
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- 2+ years of experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837085083-en-2
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- 2+ years of experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837085083-en-1
Overview
We are seeking Data Research Engineers to join our Multimodal team, where we are building the next generation of foundation models across vision, language, audio, and beyond. If you are passionate about exploring, designing, and building high-quality datasets to drive frontier AI models, this role is for you.
At Microsoft AI, data is at the heart of innovation—and in this role, you will collaborate closely with scientists, engineers, and annotators to curate, analyze, and evaluate diverse multimodal data sources critical to model development. You’ll lead efforts in developing novel data collection strategies, improving dataset quality, understanding data-driven model behaviors, and aligning datasets with ethical and societal values.
This is a cross-disciplinary, high-impact role ideal for engineers who want to push the boundaries of what AI can learn from data, especially in multimodal contexts.
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
- Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact and determine the most effective data
- Develop and maintain scalable data pipelines for multimodal ingestion, preprocessing, filtering, and annotation
- Analyze real-world multimodal datasets to assess quality, diversity, relevance, and identify areas for improvement
- Build lightweight tools and workflows for dataset auditing, visualization, and versioning
- Collaborate with Safety, Ethics, and Governance teams to ensure datasets meet standards for quality, privacy, and responsible AI practices
Qualifications
Required Qualifications:
- Bachelor’s Degree in AI, Computer Science, Data Science, Statistics, Physics, Engineering, or a related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience
- 2+ years of experience in data analysis or data engineering
- Proficiency in statistics and exploratory data analysis methods
- Ability to communicate technical findings effectively to research and product teams
Preferred Qualifications:
- Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, Python and common data libraries (Pandas, NumPy, etc.)
- OR equivalent experience.
- Familiarity with data processing frameworks such as Spark, Ray, Apache Beam
- Experience working with large-scale, real-world datasets that are unstructured or semi-structured
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.
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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
Job Number
1970324837025737-en-2
At Microsoft, we are committed to advancing the frontiers of artificial intelligence in ways that are bold, responsible, and inclusive. Our vision is to build intelligent systems—spanning agents, applications, services, and infrastructure—that empower every person and organization on the planet to achieve more. We believe AI should be accessible to all: consumers, businesses, and developers alike.
The Microsoft AI (MAI) team is looking for an Experimentation Data Scientist to help shape the next generation of personal AI experiences through Copilot. This role involves managing and analyzing experiments to provide actionable insights that drive product improvements and user experience enhancements.
Key Responsibilities:
- Experimentation Management: Collaborate with feature teams to design, implement, and debug experiments. Conduct ad hoc analysis to understand metrics and user behavior changes.
- Statistical Analysis: Perform power analysis and experimental inference to ensure the validity and reliability of experiments.
- Data Analysis: Utilize SQL and Python to pull and analyze data quickly, providing insights into user behavior and experiment outcomes.
- Collaboration: Work closely with partners to ensure robust telemetry and instrumentation and with feature teams to design and implement experiments.
Qualifications
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Strong background in statistics, economics, or a related field.
- Proficiency in SQL and Python.
- Experience with online A/B testing.
- Ability to conduct power analysis and experimental inference.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience in a similar role within a data science or analytics team.
- Familiarity with telemetry and instrumentation frameworks.
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
Microsoft will accept applications for the role until Month Day, Year.
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.
#MAI Copilot
Job Number
1970324837025737-en-1
At Microsoft, we are committed to advancing the frontiers of artificial intelligence in ways that are bold, responsible, and inclusive. Our vision is to build intelligent systems—spanning agents, applications, services, and infrastructure—that empower every person and organization on the planet to achieve more. We believe AI should be accessible to all: consumers, businesses, and developers alike.
The Microsoft AI (MAI) team is looking for an Experimentation Data Scientist to help shape the next generation of personal AI experiences through Copilot. This role involves managing and analyzing experiments to provide actionable insights that drive product improvements and user experience enhancements.
Key Responsibilities:
- Experimentation Management: Collaborate with feature teams to design, implement, and debug experiments. Conduct ad hoc analysis to understand metrics and user behavior changes.
- Statistical Analysis: Perform power analysis and experimental inference to ensure the validity and reliability of experiments.
- Data Analysis: Utilize SQL and Python to pull and analyze data quickly, providing insights into user behavior and experiment outcomes.
- Collaboration: Work closely with partners to ensure robust telemetry and instrumentation and with feature teams to design and implement experiments.
Qualifications
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Strong background in statistics, economics, or a related field.
- Proficiency in SQL and Python.
- Experience with online A/B testing.
- Ability to conduct power analysis and experimental inference.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Preferred Qualifications:
- Experience in a similar role within a data science or analytics team.
- Familiarity with telemetry and instrumentation frameworks.
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
Microsoft will accept applications for the role until Month Day, Year.
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.
#MAI Copilot
Job Number
1970324837083440-en-1
Overview
As Microsoft continues to push the boundaries of AI, we are on a mission to build systems with true artificial intelligence across agents, applications, services, and infrastructure. Our vision is bold and inclusive: to make AI accessible to all, so that everyone can realize its benefits.
The Copilot Product Infrastructure team is at the heart of this transformation. We build and scale the cloud infrastructure that powers Copilot, Microsoft’s most ambitious AI-native product experience. From traffic engineering and scalable compute to experimentation platforms and release systems, we design the infrastructure that enables thousands of engineers to ship AI-powered features with speed, safety, and precision.
We’re tackling some of the most complex challenges in cloud infrastructure at scale, and we’re doing it with an AI-native approach from the ground up. Our systems are purpose-built to support frontier model integration, rapid experimentation, and global deployment across Microsoft’s consumer products.
We collaborate closely with engineering, product management, and AI research teams to empower every Copilot team to bring cutting-edge AI research to production. Our work directly shapes how AI reaches millions of users, and we’re growing fast.
We’re looking for highly motivated and detail-oriented Technical Program Managers who are passionate about AI and deeply proficient in scaling backend technologies. In particular, we’re looking for individuals who:
- Have deep experience with cloud infrastructure, including Kubernetes, CI/CD, traffic routing, and experimentation platforms.
- Thrive in environments where they partner closely with engineers, SREs, and product teams to deliver scalable, reliable systems.
- Take initiative and enjoy navigating ambiguity in a fast-paced, high-growth environment.
- Are comfortable owning programs that span offices, teams, and time zones, coordinating across workstreams and relentlessly unblocking progress.
- Demonstrate a proactive attitude and enthusiasm for improving developer velocity, system resilience, and operational clarity.
- Are excited to build infrastructure that’s designed from day one to support AI-native development, with the scale, agility, and reliability that frontier models demand.
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 role based in U.S. Mountain View, CA. You are required to be local to the San Francisco area and be 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
- Drive end-to-end execution of infrastructure programs that power Copilot, including planning, scoping, milestone tracking, and cross-team coordination.
- Partner closely with engineers, SREs, product managers, and AI researchers to deliver scalable, reliable systems for traffic routing, compute orchestration, experimentation, security and release.
- Own program status across multiple workstreams, proactively identifying risks, unblocking progress, and ensuring timely delivery.
- Translate complex technical initiatives into clear execution plans, aligning stakeholders across time zones and functions.
- Communicate program strategies, trade-offs, and results to executive leadership and partner teams, advocating for infrastructure priorities and long-term platform health.
- Champion an AI-native approach to infrastructure, ensuring systems are designed from the ground up to support frontier model integration and rapid experimentation.
Qualifications
Required/minimum qualifications
- Bachelor’s Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 2+ years of experience managing cross-functional and/or cross-team projects.
- 3+ years experience working on software development and/or cloud infrastructure projects (AWS/Azure/GCP)
Additional or preferred qualifications
- Bachelor’s Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
- 6+ years of experience managing cross-functional and/or cross-team projects.
Technical Program Management IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrosoftAI #Copilot
Job Number
1970324837082726-en-1
Overview
Microsoft AI is looking for an Executive Assistant to join our newly formed organization. In this role, you will report to the Corporate Vice President (CVP) and provide administrative support to MAI leadership team and aligned growing team.
As an Executive Business Administrator, you will be helping with all levels of support, including team communications, strategic calendar management, and complex end-to-end headcount/budget management. You will identify support gaps and develop/implement solutions to help contribute to the leader’s and team’s overall success. In addition, you will need to collaborate closely with business partners and team leaders to support the rhythm of business (ROB), space planning, and headcount/budget planning and maintenance. To best support the team and leader, at least 50% of the time is required to work from the office in Mountain View, CA. You will be a vital member of the team, partnering with members and leaders while demonstrating Microsoft culture and values.
This new group, Microsoft GenAI, works on creating novel state-of-the-art AI models, related infrastructure, and customization tooling. It collaborates deeply with OpenAI and many Microsoft teams across the company, such as Azure AI Platform, Microsoft Research, and numerous product groups.
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
- Calendar Management: Provides strategic calendar management and time planning support for manager and additional team calendars when needed. Manages calendar, meeting preparation, and logistics based on knowledge of manager and business needs.
- Cross-Functional Collaboration and Communication: Strengthens their network (internally and externally) across organizations to enable their team and leader’s work. Uses executive maturity and independent insight judgment, discretion, business insights, and perspectives to direct and prepare staff to distribute information to their teams and/or supported leader.
- Team Management Support (Headcount Management, Recruitment, Onboarding/ Offboarding): Collaborates with Global Talent Acquisition (GTA) to facilitate internal and external recruitment efforts, and partners with hiring managers to ensure an effective process. Supports intern and university recruitment for the broader organization (e.g., planning, placement). Creates committees to promote team experiences. Lands and delegates onboarding activities (e.g., ordering new-hire equipment, setting up workstations, distribution lists, security groups) and provides support to new employees, vendors, and interns as an essential contact for questions and company information. Provides high-level support for a seamless executive onboarding experience.
- Event Coordination and Logistics: Manages, plans, and develops events. Takes responsibility for event outcomes and demonstrates executive presence. Leads a team of event planners if needed. Partners with management to understand event aspirations and target goals. Develops and leverages resources for reuse to drive efficiency. Contributes to development of workback schedule, promotion, and necessary checkpoints.
- Resource Management (Hardware/Supply Management, Purchase/Expense Management Financial Management): Owns expense management including documentation (e.g., purchase orders [POs], receipts, tax award spreadsheets, statements of work, reclassifications), expense tracking, and policy compliance. Educates administrative team on Microsoft Policy to ensure compliancy across team/division/organization and escalates issues as needed. Functions as interim approver for executive office when needed.
- Rhythm of Business (ROB): Partners with senior leader(s) and Chiefs of Staff on building and managing annual rhythm of business (ROB), including fiscal year calendar and executive meeting schedule (e.g., Human Resources [HR] cadence, fiscal cadence, SLT cadence, company-wide and/or employee resource group cadence). Strategically communicates ROB cadence and helps to manage workloads, as needed.
- Space Management and Planning: Leads space-management processes and team spaces (e.g., office locations/desk assignments, private conference rooms, seasonally transitional spaces, remote/location status), cascading space management vision to fellow team members. Addresses and resolves high-level space requests. Leads large-scale space requests (e.g., annual office restacks, space build outs), liaising between admins and space planner and negotiating for appropriate space for their team. Determines future space planning needs and drives space changes based on utilization data and upcoming organizational changes.
- Travel Management: Works with appropriate contact/tool to coordinate travel arrangements (e.g., accommodations, transportation, security) for manager(s) and/or group. Creates detailed itineraries/agendas for daily activities by setting and managing travel expectations to maximize trip productivity. Manages all travel logistics and maximizes trip itineraries
- Discipline Growth and Development: Provides leadership and actively seeks out and participates in the Business Support community. Mentors Business Support professionals. Shares best practices and insights.
- Embody our culture and values.
Qualifications
Required Qualifications
- 7+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper level management.
Preferred Qualifications
- Experience in successfully partnering with other Executive Assistants.
- Proficiency with Microsoft Core Office products or related software, including, but not limited to, Word, Excel, Outlook, PowerPoint, OneNote, and OneDrive.
Business Support ATR-E – The typical base pay range for this role across the U.S. is USD $32.84 – $66.30 per hour. 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 $44.81 – $72.69 per hour.
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
Microsoft will accept applications for the role until 10/5/2025