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Mountain View, United States

Member of Technical Staff – Growth Web Engineer Member of Technical Staff – Growth Web Engineer

Location
Mountain View, United States
Job Number
1970324837008035-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Software Engineering
Overview
Microsoft AI is looking for a talented web engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Growth engineering team is responsible for user acquisition, engagement, retention, and feature development that drives rapid growth, while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results. 
 
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 3 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
  • Care deeply about building outstanding consumer-grade web applications. 
  • Build consumer grade applications for web. 
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • Work with product managers, data scientists, and marketing to implement strategies that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure. 
  • 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. 
  • Data Driven: partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement. 
  • Embody our Culture and Values. 
Qualifications
Required Qualifications: 
  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing web applications with coding in languages including, but not limited to, JavaScript, TypeScript, React, CSS, Node.js, app performance profiling OR equivalent experience. Working knowledge of web browser, web protocols, mainstream frameworks, application architecture, design patterns, and UI/UX principles. 
  • OR equivalent experience. 
  • 4+ years of experience in growth engineering or a growth-oriented role is strongly preferred. Demonstrated success in driving key growth metrics, including acquisition, engagement, and retention. A data-driven engineer who can provide concrete examples of initiatives you’ve built and shipped. Past growth achievements will be considered during the application process. 
Preferred Qualifications:
  • Contributions to open-source projects.  
  • Experience building web applications from scratch. 
  • Experience in internationalization and localization, scaling products, applications, and engineering efforts to drive global growth. 
  • 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 web 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 $117,200 – $229,200 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 $153,600 – $250,200 per year.
 
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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.
 
#copilot #MicrsoftAI

Mountain View, United States

Principal Growth Product Manager – Copilot Principal Growth Product Manager – Copilot

Location
Mountain View, United States
Job Number
1970324837008310-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Product Management
Overview
At Microsoft AI, we are pushing the boundaries of technology.
We are creating unique, beautiful, and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build and how we build it, and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have a 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.
Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design, and AI Research teams.
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 Mountain View, CA, U.S. position, you are required to be local to the San Francisco area and in the office 3 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 
  • Develop the product strategy and vision for Copilot consumer offerings across multiple surfaces and capabilities.
  • Create zero to one products that transform cutting-edge AI capabilities into world-class applications of LLM.
  • Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, and managing end to end product development, launches, and iterations.
  • Establish clear goals and performance metrics, design experiments, and measure success through data analysis and research insights.
  • Spearhead complex cross-functional initiatives with effective stakeholder management, communication, and storytelling.
  • 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, collaborative product development environment.
  • Embody our Culture and Values
 
Qualifications 
Required Qualifications:  
  • Bachelor’s Degree AND 8+ years experience in product management OR equivalent experience.
  • Track record of leading product teams building 0 to 1 consumer products, finding product market, and achieving scale.
  • Demonstrated success building consumer products that leverage Machine Learning or Large Language Models (LLMs). 
 
Preferred Qualifications:
  • Experience as a startup founder is a plus.
  • Proven track record as a product manager with firsthand experience prompting, evaluating, and deploying LLM applications into production.
  • Have experience in working side-by-side with AI researchers and engineers.
  • Experienced in concurrently driving multiple high stakes, time sensitive projects that span teams and time zones.
  • Ability to work in a fast-paced environment and adapt to changing requirements and deadlines.
  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.
  • Visionary but pragmatic. You can develop a vision and also lay out clear steps to get there.
  • Working knowledge of SQL and coding skills (Python, Javascript) is a plus.
Product Management IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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.
#copilot #MicrosoftAI

Mountain View, United States

Principal Product Manager – Consumer Copilot, Productivity Principal Product Manager – Consumer Copilot, Productivity

Location
Mountain View, United States
Job Number
1970324837008311-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Product Management
Overview
At Microsoft AI, we are pushing the boundaries of technology.   
  
We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the 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. 
 
Our newly formed organization, Microsoft AI (MAI), focuses on Copilot and other consumer AI products and research. We combine world-class AI research together with top notch design and product craft. The wider team is responsible for Copilot, Bing, Edge, and generative AI research, while the Mobile Engineering team is responsible for leading and building the mobile experience of Copilot on iOS and Android, collaborating closely with our Product Management, Design and AI Research teams.  
  
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 Mountain View, CA, U.S. position, you are required to be local to the San Francisco area and in office 3 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
  • Develop the product strategy and vision for Copilot consumer offerings, across multiple surfaces and capabilities.
  • Create zero to one products that transform cutting-edge AI capabilities into world-class applications of LLM.
  • 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.
  • Establish clear goals and performance metrics, design experiments, and measure success through data analysis and research insights.
  • Spearhead complex cross-functional initiatives with effective stakeholder management, communication and storytelling.
  • 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, collaborative, product development environment.
  • Embody our Culture and Values
Qualifications
Required Qualifications: 
  • Bachelor’s Degree AND 8+ years experience in product management
  • OR equivalent experience.
  • Track record of creating design-driven consumer products from concept to launch and finding product market fit.
  • Demonstrated success building consumer products that leverage Machine Learning or Large Language Models (LLMs). 
Preferred Qualifications: 
  • Experience as a startup founder is a plus.
  • Proven track record as a product manager with firsthand experience prompting, evaluating and deploying LLM applications into production.
  • Have experience in working side-by-side with AI researchers and engineers.
  • Experienced in concurrently driving multiple high stakes, time sensitive projects that span teams and time zones.
  • Ability to work in a fast-paced environment and adapt to changing requirements and deadlines.
  • Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.
  • Visionary but pragmatic. You can develop a vision and also lay out clear steps to get there.
  • Working knowledge of SQL and coding skills (Python, Javascript) is a plus.
Product Management IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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.
#copilot #MicrosoftAI

Mountain View, United States

Member of Technical Staff – Product Engineer Member of Technical Staff – Product Engineer

Location
Mountain View, United States
Job Number
1970324837008319-en-1
City
Mountain View
Category
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. 
 
Microsoft AI (MAI) is seeking experienced Product Engineers to help build the Copilot web experiences which are available on copilot.microsoft.com, Edge Browser and Window OS. You’ll work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. We value engineers who are self-starters, care deeply about the end user experience, and take pride in building products to solve customer needs. 
 
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  
 
By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 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
In this role, you will: 
  • Ship delightful, AI powered experiences that will shape how millions of people will interact with AI in the future 
  • Collaborate with AI researchers, product managers, and designers to bring a world-class AI companion to the world 
  • Design and build efficient and reusable front-end systems that drive complex web applications 
  • Plan and deploy front end infrastructure necessary to build, test, and deploy our products 
  • Join a small team of world class product engineers with deep frontend expertise who are obsessed with building beautiful and performant products.  
  • Embody our Culture and Values
Qualifications
Required Qualifications;
  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React 
  • OR equivalent experience. 
Preferred Qualifications;
  • Bachelor’s degree in computer science, or related technical discipline AND 10+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React 
  • OR Master’s Degree in Computer Science, or related technical discipline AND 8+ years software engineering experience building web products at scale by coding in languages including, but not limited to, Typescript and React 
  • OR equivalent experience.
  • Have 0 to 1 experience with a bias towards shipping and learning, while balancing a high-quality bar. 
  • Take a user-centric approach to product development, prioritizing solutions that result in the best user experience and have the technical expertise to pull it off. 
  • Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity. 
  • Enjoy working closely with cross-functional partners and teammates in an inclusive, curious culture.  
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 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 $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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.
#Copilot #MicrosoftAI

Mountain View, United States

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

Location
Mountain View, United States
Job Number
1970324837009196-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Software Engineering
Overview
Microsoft AI is looking for a talented Backend engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Growth engineering team is responsible for user acquisition, engagement, retention, and feature development that drives rapid growth, while collaborating with our Product Management, Design, Data Scientists, and AI Research teams to deliver impactful results. 
 
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 3 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 secure and performant APIs that power Copilot iOS and Android apps.  
  • Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure. 
  • 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.   
  • Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement. 
  • Embody our Culture and Values
Qualifications
  • Build secure and performant APIs that power Copilot iOS and Android apps.  
  • Work collaboratively with our iOS, Android engineers, Product Managers, platform engineers, data scientists and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes optimizing onboarding flows, improving product features, and delivering scalable infrastructure. 
  • 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.   
  • Partner closely with data science teams to analyze user behavior to optimize product features and drive user engagement. 
  • Embody our Culture and Values
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 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 $153,600 – $250,200 per year.  
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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.
#Copilot #MicrosoftAI

Mountain View, United States

Member of Technical Staff – Voice & Vision Member of Technical Staff – Voice & Vision

Location
Mountain View, United States
Job Number
1970324837010558-en-1
City
Mountain View
Category
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 seeking a highly skilled and experienced Member of Technical Staff – Voice & Vision to join our team and drive the development of voice and vision capabilities for our Copilot product. The ideal candidate will have a strong background in engineering, with a focus on voice recognition, natural language processing, and computer vision technologies. As a Member of Technical Staff – Voice & Vision, you will be a founding engineer in a team that is at the forefront of generative AI, making significant strides in audio while aggressively pushing into the nascent field of video. 
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 3 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.
Key Responsibilities: 
  • Work on cutting-edge technologies with a focus on voice and vision, including super resolution and real-time video streaming. 
  • Collaborate with a dynamic team to deliver innovative solutions that enhance the user experience across various platforms. 
  • Apply expertise in audio and video technologies to new AI contexts, focusing on traditional methods such as noise suppression and echo cancellation to enhance voice quality across mobile platforms. 
  • Develop and implement advanced techniques for video and image manipulation, including upscaling and super resolution. 
  • Lead the integration and rollout of vision capabilities, ensuring seamless collaboration between the vision and voice teams to deliver next-level improvements and expand functionality across various contexts. 
  • Drive hands-on development of voice-heavy and video-heavy features, pushing the boundaries of generative AI in both audio and video domains. 
  • Collaborate with product managers, designers, and other stakeholders to define technical requirements and deliverables. 
  • Design, develop, and optimize voice recognition algorithms, including acoustic modeling, language modeling, and speech-to-text conversion. 
  • Implement and enhance natural language processing (NLP) techniques, such as named entity recognition, sentiment analysis, and intent detection. 
  • Develop and refine computer vision algorithms for tasks such as image classification, object detection, and facial recognition. 
  • Ensure the scalability, performance, and reliability of voice and vision systems through rigorous testing and validation. 
 
Required Qualifications 
  • Bachelor’s Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
  • OR equivalent experience. 
Preferred Qualifications 
  • Bachelor’s degree in computer science, or related technical discipline 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. 
 
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 per year.
Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $161,600 – $286,200 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 $209,600 – $314,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay   
 
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
#MicrsoftAI #Copilot

Mountain View, United States

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

Location
Mountain View, United States
Job Number
1970324837015168-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Data 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.   
Microsoft AI (MAI) is seeking an experienced Data Engineer to join the Growth team and contribute to the evolution of AI systems, with a focus on the personal AI assistant, Copilot. In this role, you will manage critical data pipelines and systems that drive the intelligence behind our products. While expertise in real-time systems, large language models (LLMs), and machine learning models is strongly preferred, we welcome candidates with broad data engineering experience and a passion for solving dynamic AI challenges. 
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 Mountain View, CA position, you are required to be local to San Francisco area and in office 3 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
  • Azure Tech Stack Familiarity: Demonstrate proficiency with tools and services within the Azure ecosystem, such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Stream Analytics, and Azure Machine Learning. 
  • Data Extraction and Transformation: Build code to extract raw data, validate its quality, and transform it for downstream compatibility 
  • Pipeline Development: Design, develop, and maintain scalable data pipelines for efficient large-scale dataset integration using appropriate technologies. 
  • Pipeline Integration: Integrate real-time and batch-processing pipelines to improve workflows and enhance user experience. 
  • ML Collaboration: Collaborate with machine learning engineers to support data preparation, feature engineering, and model evaluation for machine learning models. 
  • DS Collaboration: Work with data scientists to identify opportunities, conduct analyses, and drive data-driven decisions for AI initiatives. 
  • Feature Storage Management: Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like PySpark or similar. 
  • Workflow Optimization: Optimize workflows to ensure seamless integration and accessibility of data. 
  • Infrastructure Performance: Implement performance monitoring, troubleshoot issues, and develop scalable solutions to ensure reliability. 
Qualifications
Required Qualifications:
  • Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ 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 3+ years experience in business analytics, data science, software development, data modeling or data engineering work 
  • OR equivalent experience. 
  • 3+ years of experience shipping product at scale
  
Preferred Qualifications:
  • Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+ 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 8+ years experience in business analytics, data science, software development, data modeling or data engineering work 
  • OR equivalent experience. 
Data Engineering IC4 – The typical base pay range for this role across the U.S. is USD $117,200 – $229,200 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 $153,600 – $250,200 per year.
Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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

Mountain View, United States

Member of Technical Staff, Infrastructure Engineer – Copilot Member of Technical Staff, Infrastructure Engineer – Copilot

Location
Mountain View, United States
Job Number
1970324837015277-en-1
City
Mountain View
Category
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.
Our Platform Infrastructure team is responsible for building and scaling the backend platform at the core of Microsoft consumer products, the integrations with our AI models and the tools that our engineers use. We collaborate closely with cross-functional engineering, product management, and AI research, empowering all Microsoft Copilot teams to more effectively bring cutting-edge AI research to production. 
 
We’re seeking experienced Platform Infrastructure Engineers who are passionate about AI, are deeply proficient in scaling backend technologies, and possess a mastery of templating to architect solutions that stand the test of time. 
 
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 3 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
  • Design, develop, and maintain performant and secure AI Platform services that power Copilot. 
  • Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services. 
  • Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components. 
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. 
  • Enjoy working in a fast-paced, design-driven, product development cycle. 
  • Embody our Culture and Values.
Qualifications
Required Qualifications:
  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building services and products in languages such as Python, C#, C++, Rust, Java. 
  • OR equivalent experience. 
  • 4+ years’ experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 
  • 4+ years’ experience in building and releasing production software at the platform level. 
  • Solid knowledge of APIs, data flows, systems, and services. 
Preferred Qualifications:
  • Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 
  • 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 reliability, security and ease of use. 
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, and other engineers. 
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web 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 $117,200 – $229,200 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 $153,600 – $250,200 per year.
Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $137,600 – $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 – $294,000 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

Mountain View, United States

Member of Technical Staff- Product Evaluation Engineer Member of Technical Staff- Product Evaluation Engineer

Location
Mountain View, United States
Job Number
1970324837017711-en-1
City
Mountain View
Category
Copilot
Country
United States
Discipline
Software Engineering
Overview
At Microsoft, we are at the forefront of technological innovation, creating powerful tools and products that transform the way people live and work. We are seeking passionate and talented full-stack Product Engineers with a focus on web front-end development skills to join our Evaluation tooling team. As part of our mission, you will play a critical role in building tools for data collection and model evaluation, contributing directly to the development of cutting-edge AI technologies that define the future. 
Our team is small, fast-paced, and collaborative, committed to excellence in every aspect of our work. We value creativity, efficiency, and a user-first approach, ensuring that every decision we make is grounded in real-world evidence. This is an opportunity to work on products with immediate and far-reaching impact, placing you at the core of a rapidly evolving AI landscape. 
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 OR Redmond, WA position, you are required to be local to the San Francisco or Redmond area and in office 3 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
  • Tool Development: Design and implement tools, end to end, using Typescript and Python to streamline data collection and facilitate model evaluation across AI projects.
  • Feature Implementation: Leverage your expertise in JavaScript and its ecosystem, (React JS experience is a must, Next JS experience is a bonus), to develop robust and scalable features for internal tools that enhance the quality and efficiency of data and model evaluation. 
  • Collaboration: Work closely with AI researchers, product managers, and engineers to define requirements, scope projects, and deliver high-impact solutions. 
  • Data Handling: Build and optimize data pipelines (using Python) for collecting, processing, and analyzing large volumes of data used for training and evaluating AI models.  
  • Culture & Values: Actively contribute to a positive, inclusive, and collaborative team culture, embodying Microsoft’s values of respect, integrity, and accountability in your daily work. 
Qualifications
Required Qualifications
  • Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
  • OR equivalent experience.
  • 4+ years of experience in building and deploying web-based tools or applications.
Preferred Qualifications
  • Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to TypeScript, Python, C, C++, C#, Java
  • OR 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 TypeScript, Python, C, C++, C#, Java
  • OR equivalent experience.
  • 4+ years of experience with Next JS or other modern JavaScript frameworks.
  • 5+ years of experience in software development, with a focus on building tools for data collection and/or model evaluation.
  • Demonstrated understanding of data structures, algorithms, and software design principles.
  • Demonstrated ability to collaborate effectively with cross-functional teams, including product management, AI research, and engineering.
  • Familiarity with data science and machine learning concepts, especially as they relate to model evaluation and data collection.
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   
 
Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Mountain View, United States

Technical Program Manager – Responsible AI Technical Program Manager – Responsible AI

Location
Mountain View, United States
Job Number
1970324837030401-en-1
City
Mountain View
Category
Responsible AI
Country
United States
Discipline
Technical Program Management
Overview:

Microsoft AI is at the forefront of the responsible development and global deployment of AI to make everyone more informed, capable, and supported. We are creating unique, beautiful and powerful products that will change lives. We are proud of what we build, how we build it and that our products will define the AI era. It is a time of huge change in the AI landscape, and this role will put you right in the heart of it.
 
As a Program Manager for Responsible AI, you will work closely with teams across Microsoft considering all aspects of AI safety, governance and risk, ensuring that our principles and commitments are met in a timely and product-first manner.
 
This role, based within a highly agile interdisciplinary team, will allow you to grow and further your deep understanding of all aspects of AI development and deployment both within Microsoft and beyond.

By applying to this U.S. Mountain View, CA position or Redmond, WA, you are required to be local to the San Francisco area OR Redmond, WA area and 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 achieve 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:
 
As a Program Manager for Responsible AI, you will:
  • Work as part of a fast-growing, interdisciplinary team of Responsible AI practitioners and with cross-functional teams in the day-to-day delivery and development of Copilot, ensuring that Microsoft’s Responsible AI principles and practices are satisfactorily embedded.
  • Partner closely with colleagues in the Office of Responsible AI and Microsoft’s Corporate, External and Legal Affairs (CELA) team to develop, refine and apply innovative governance processes, responsive in part to a dynamic technical and regulatory landscape.
  • Serve as a liaison between technical and non-technical stakeholders to ensure shared understanding of Responsible AI objectives.
  • Develop and deliver training materials and resources to support Responsible AI awareness and adoption. 
  • Develop, implement and improve governance programs and processes to ensure that specific requirements and standards are met throughout the development lifecycle (e.g., quality, compliance, privacy, security, safety, accessibility).
  • Answer technical questions on the multiple feature areas you own, including problem-solving to achieve responsible AI in relation to product features.

Required 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.
 
Additional or Preferred Qualifications:
  • 6+ years of experience managing cross-functional and/or cross-team projects.
  • 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
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.
Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. 
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
  
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay   
  
Microsoft will accept applications and processes offers for these roles on an ongoing basis.