Commissioning Editor
Commissioning Editor
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Overview
Microsoft AI is the organization within Microsoft that encompasses Copilot, Bing, Edge and fundamental AI. It’s designed to create the world’s most compelling and successful consumer artificial intelligence (AI) products and models. If successful in our mission to produce an AI companion for everyone, this will have a profound impact on society, changing everything from health and education to social relationships and work. Working from within MAI’s Futures team and operating out of the Office of the MAI CEO, we are now looking to establish a new leading publication with a distinct brand identity to understand this shift and discuss it in an independent framework.
We are looking for a seasoned Commissioning Editor to lead commissioning and editorial for the new journal—curating and cultivating compelling longform and shorter pieces from both renowned voices and emerging thinkers across the landscape of AI, tech, academia, journalism, policy and beyond. This is a role for someone who lives at the intersection of intellectual rigor and editorial instinct: able to spot the next great idea before it breaks, persuade high-profile contributors to join the conversation, and shape a distinct voice for the journal through elegant, provocative content. With a focus on written work but with scope for multimedia formats, the Commissioning Editor will craft a journal that earns its reputation through insight, clarity, and cultural relevance, capable of balancing the needs of Microsoft AI and a flourishing, distinct editorial vision.
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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
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 original topic ideas and thematic arcs balancing a range of needs. Identify and recruit leading and upcoming voices from academia, journalism, tech, and policy, cultivating relationships with the best writers, thinkers, doers and agents.
- Hit content targets for the journal on a limited budget, from initial idea or submission to final publication, maintaining a balance of longform depth and shortform agility across the calendar (with 12 longform pieces being the anchor, alongside a similar number of shorter pieces alongside op-eds and updates). Coordinate and own the editorial calendar, including thematic issues.
- Provide developmental feedback and editorial guidance pre- and post-submission, ensuring clarity, coherence, and originality in commissioned pieces.
- See that pieces make it live on the content management system.
- Help build a distinct, respected brand for the publication, representing MAI in the world of media and ideas. Contribute to the messaging, marketing and socials.
- Collaborate and sometimes lead on formats like podcasts, an annual print special, convenings, lectures and occasional video amongst others, ensuring cross-platform cohesion in brand, editorial standards and storytelling tone.
- Understand and own the engagement metrics for the core content.
- Apply yourself to a range of urgent questions, tasks related to comms, brand, events and editorial as needed across the Office of Microsoft AI’s CEO.
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
- 5+ years’ experience in digital content publishing/management, writing or editing at a leading publication
- OR equivalent experience.
- 5+ years’ experience in leading editorial strategy and content development, from ideation to publication and recruiting top contributors.
- 5+ years’ experience managing editorial calendars, providing developmental feedback, and ensuring cross-platform brand consistency across digital, print, and event formats.
Additional or Preferred Qualifications (PQs)
- Experience and/or interest in AI or technology more widely.
- Work on a publication with academic and thought leadership kudos and a strong digital presence.
- Track record of building a media brand from a starting position, with a demonstrable record of doing a range of tasks to ensure its success.
- Ability to collaborate across multiple teams and levels while also contributing to a positive work environment, fostering knowledge sharing and growth within the team.
- Journalistic experience.
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
Content 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 accepts applications and processes offers for these roles on an ongoing basis.
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Executive Assistant, Microsoft AI
Executive Assistant, Microsoft AI
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Overview
Microsoft AI is shaping the future of artificial intelligence—and we’re looking for an Executive Assistant who thrives in a fast-paced, high-impact environment to join the team! In this role, you’ll support three Vice Presidents, acting as a strategic partner to keep priorities on track and operations running smoothly. You’ll manage complex calendars, drive business rhythms, and create seamless experiences for leaders and teams.
This is more than an admin role—it’s about enabling impact at scale. You’ll collaborate across Microsoft and with external partners, anticipate needs before they arise, and bring structure to ambiguity. If you’re resourceful, proactive, and energized by working at the center of innovation, this is your opportunity to make a difference.
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
- Strategic Calendar & Time Management – Orchestrate complex schedules for multiple executives, ensuring alignment with business priorities.
- Event & Meeting Coordination – Plan and execute leadership meetings, offsites, and team events with precision and creativity.
- Travel Management – Coordinate domestic and international travel, creating detailed itineraries to maximize productivity.
- Communication & Collaboration – Serve as a trusted liaison across teams, ensuring timely flow of information and fostering strong connections.
- Rhythm of Business (ROB) – Support annual and quarterly planning cycles, helping leaders stay focused on strategic goals.
- Business Operations Support – Partner on headcount planning, onboarding, and team logistics; maintain budget and expense compliance.
- Space & Resource Planning – Manage office space assignments and resources to support team growth and efficiency.
Qualifications
Required:
- 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.
- 3+ years of experience working in AI labs or similar fast-paced high-tech environments.
- Willingness to work extended hours during critical business periods to ensure timely delivery of key outcomes.
Preferred:
- Bachelor’s Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology) OR equivalent experience.
- Experience partnering with other Executive Assistants and Chiefs of Staff.
- Familiarity with headcount planning, budget tracking, and event management.
- Ability to influence without authority and build deep cross-functional relationships.
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 accepts applications and processes offers for this role on an ongoing basis.
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Member of Technical Staff, Applied Scientist
Member of Technical Staff, Applied Scientist
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Overview:
We’re seeking a Member of Technical Staff – Applied Scientist to help design and build advanced Copilot features such as Deep Research and Web artifact generation. This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You’ll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.
The ideal candidate brings hands-on experience in building applications powered by LLMs, along with a solid foundation in data science and machine learning. You’re a proactive collaborator who communicates clearly, thrives in fast-paced environments, and takes ownership of delivering world-class consumer experiences. If you enjoy pushing the boundaries of AI-driven products and working across disciplines to create intuitive, high-impact solutions, we’d love to hear from you.
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:
- Architect and implement advanced Copilot features such as Deep Research and Web artifact generation
- Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals
- Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences
- Develop evaluation frameworks and metrics to assess feature performance and user impact
- Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination
- Build data collection pipelines to support prompt engineering and fine-tuning of LLMs
- Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation
- Train and optimize content classifiers to enable context-aware interactions within Copilot
- Independently write efficient, readable, and extensible code and model pipelines
- Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities
- Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features
- Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor
- Communicate technical concepts clearly and contribute to team-wide knowledge sharing
- Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products
Qualifications:
Required Qualifications:
- Bachelor’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 Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- Experience prompting, evaluating, and working with large language models.
- Experience writing production-quality Python code.
Preferred 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.
- Demonstrated interest in Responsible AI.
Applied Sciences 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.
Applied Sciences 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.
#copilot
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Technical Program Manager – Infrastructure & Compute
Technical Program Manager – Infrastructure & Compute
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Overview
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. We’re tackling 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.
Help deliver one of the best foundational models in the world at Microsoft AI.
We’re looking for a highly motivated and detail-oriented Technical Program Manager to help bring our vision to life. 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:
- Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models.
- Have experience in working side-by-side with researchers and engineers.
- Thrive in a fast-paced, innovative environment.
- Are passionate about managing high stakes time-sensitive large-scale programs.
- Take the initiative and enjoys finding paths through complexity in a fast-paced environment.
- Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress.
- Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies.
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
- Coordinate projects and programs including all elements of end-to-end project planning, timelines, milestones, performance metrics, and resource needs for programs and product cycles.
- Collaborate with the product team and other engineers and researchers across Microsoft and other vendors to identify gaps and drive timelines towards resolutions and mitigations.
- Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs on key metrics.
- Foster a culture of collaboration, continuous improvement, and growth.
- Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
- Communicate program strategies, progress, and results to executive leadership and key stakeholders, advocating for the quality and efficiency function within the team.
- 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.
Qualifications
Required Qualifications
- Bachelor’s Degree AND 6+ years experience in working with AI researchers, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 6+ years experience managing cross-functional and/or cross-team projects.
Preferred Qualifications
- Bachelor’s Degree AND 10+ years experience in working with AI researchers, product/technical program management, data analysis, or product development
- OR equivalent experience.
- 10+ years experience managing cross-functional and/or cross-team projects.
Technical Program 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.
#MicrosoftAI #Copilot
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Member of Technical Staff – Site Reliability Engineer
Member of Technical Staff – Site Reliability Engineer
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Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
- Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
- Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
- Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
- Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
- Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
- Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.
Qualifications
Required Qualifications
- 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
Other Qualifications
- Strong proficiency in Kubernetes, Docker, and container orchestration.
- Knowledge of CI/CD pipelines for Inference and ML model deployment.
- Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
- Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
- Strong programming/scripting skills in Python, Go, or Bash.
- Solid knowledge of distributed systems, networking, and storage.
- Experience running large-scale GPU clusters for ML/AI workloads (preferred).
Preferred Qualifications
- Familiarity with ML training/inference pipelines.
- Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
- Background in capacity planning & cost optimization for GPU-heavy environments.
- Work on cutting-edge infrastructure that powers the future of Generative AI.
- Collaborate with world-class researchers and engineers.
- Impact millions of users through reliable and responsible AI deployments.
- Competitive compensation, equity options, and comprehensive benefits.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $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.
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
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Executive Business Partner- Microsoft AI
Executive Business Partner- Microsoft AI
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Be at the heart of AI innovation.
Step into a pivotal role at the forefront of AI innovation as the Executive Business Partner to the Corporate Vice President (CVP) of Microsoft AI. In this highly visible role, you’ll work directly with the CVP and their leadership team, serving as an administrative partner and operational leader. This is far more than traditional executive support—you’ll drive business rhythms, lead special projects, and help shape the operational backbone of a rapidly growing, high-impact organization. Your ability to organize, optimize, and elevate both the executive office and the broader team will be essential to our mission of building world-changing AI products.
We’re seeking a poised, resourceful, and results-driven professional who thrives in fast-paced, high-growth environments. If you’re energized by ambiguity, passionate about operational excellence, and ready to make a tangible difference, you’ll find this role both challenging and rewarding. As a key member of our team, you’ll be onsite in our Mountain View office at least four days a week, collaborating with some of the brightest minds in AI. If you’re scrappy and can create organization out of ambiguity, we want to meet you!
Responsibilities
- Strategic Executive Support: Provide high-level support to the CVP, including complex calendar management, travel coordination, and meeting logistics. Anticipate needs and proactively resolve scheduling conflicts to maximize executive productivity.
- Operational Project Leadership: Lead and execute operational initiatives such as space planning, onboarding/offboarding, event management, and team growth projects. Develop project plans, set milestones, and ensure timely delivery of outcomes.
- Business Rhythm & Communications: Drive the annual rhythm of business (ROB) by managing fiscal calendars, executive meetings, and key communications. Prepare executive briefings, synthesize information, and ensure alignment with organizational goals.
- Team Enablement & Culture: Foster a collaborative, inclusive, and high-performing team environment. Support onboarding, facilitate team communications, and champion culture and engagement initiatives.
- Stakeholder Engagement: Build and maintain strong relationships with internal and external stakeholders, including business partners, vendors, and cross-functional teams. Represent the executive office with professionalism and executive maturity.
- Process Improvement: Identify and implement process improvements to increase efficiency and effectiveness across administrative and operational functions.
Qualifications
Required qualifications
- Bachelor’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 3+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles OR equivalent experience.
- 7+ years of executive administration or business operations experience supporting CVP-level leaders with organizations of 50+ employees with a focus on scheduling, travel management, and administration.
- 2+ years of experience working in AI labs or similar fast-paced high-tech environments.
- Experience delivering at least 3 operational projects/programs (e.g. space planning, onboarding, event management) on time and within budget.
- Willingness to work extended hours during critical business periods to ensure timely delivery of key outcomes.
Additional qualifications
- Experience with the Microsoft Office Suite (Outlook, Excel, PowerPoint, Word, OneNote, OneDrive) or similar productivity suite.
- Experience using collaboration and project management tools (e.g., Slack, Teams, SharePoint, Asana, or similar).
- Exceptional written and verbal communication skills with the ability to draft executive-level communications and synthesize complex information.
- Demonstrated executive maturity, discretion, and professionalism in high-pressure, high-visibility environments.
- Demonstrated organizational skills with a track record of anticipating needs and proactively solving problems.
- Demonstrated experience as a team lead, overseeing and coordinating a team of other administrators.
- Ability to build trust and influence at all levels of the organization.
Business Management IC3 – The typical base pay range for this role across the U.S. is USD $76,800 – $151,900 per year. There is a different range applicable to specific work locations within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $100,800 – $168,000 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 accepts applications and processes offers for these roles on an ongoing basis.
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Member of Technical Staff, Internal Tools Engineer
Member of Technical Staff, Internal Tools Engineer
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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.
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 field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- 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 IC3 – The typical base pay range for this role across the U.S. is USD $100,600 – $199,000 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 $131,400 – $215,400 per year.
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.
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Senior Technical Program Manager, Copilot Voice & Vision
Senior Technical Program Manager, Copilot Voice & Vision
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Overview:
Join Microsoft AI (MAI) at the forefront of innovation as a Senior Technical Program Manager (TPgM) for Copilot’s Voice & Vision (V&V) team. In this pivotal role, you’ll drive the planning, operations, and cross-team collaboration that enable our V&V workstream to deliver new functionality and elevate product quality across the Copilot stack. You will collaborate closely with a dedicated team of engineers, product, researchers, and other stakeholders who value creativity and have a passion for building world-class AI products.
As a Senior TPgM, you will leverage design thinking, program management expertise, and technical depth to empower the team and drive strategic initiatives that elevate product quality and delivery velocity. We run lean, obsess about users, and always make our decisions based on evidence. We ship regularly, so your work will have real-time impact. If you have a track record of taking initiative, operational excellence and enjoy building world-class consumer experiences and products in a fast-paced environment, apply today!
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.
Key Responsibilities:
- Own and manage the back-end infrastructure for the Copilot Voice & Vision stack, applying technical expertise in modern web stacks, networking, and large language model (LLM) serving.
- Serve and operate live voice and vision endpoints, including planning for Site Reliability Engineering (SRE) and on-call coverage, while monitoring and improving service quality metrics.
- Apply a deep understanding of multimodal LLMs—including differences from text models, evaluation methods, and prompting strategies—to inform product and engineering decisions.
- Support upstream customer teams as they develop new features on the Voice & Vision stack by understanding requirements, guiding teams to existing solutions, or scoping and delivering new features in collaboration with engineering.
- Collaborate with client engineers and data teams to ensure proper instrumentation for quality-of-life (QoL) metrics, enabling effective monitoring, assessment, and evaluation of new features and end-product quality.
- Partner with marketing to align product readiness with planned launches, proactively identifying risks, and tracking metrics that demonstrate business and user impact.
- Manage and prioritize the backlog of tasks across multiple teams, balancing product improvements, backend initiatives, customer feature requests, and triaging inbound bugs and support requests.
- Integrate with broader organizational processes such as cycle planning, RAG status updates, and weekly quality reviews (WQR) to ensure seamless alignment with company-wide operational rhythms.
- Lead capacity planning for efficient resource utilization, assessing the impact of new features from both the V&V team and upstream customer teams, and securing additional capacity as needed.
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.
- 3+ years of experience working with modern web stacks (such as Node.js, Python, or .NET), networking protocols, or deploying or serving large language models (LLMs) in a production environment.
- 3+ years of experience designing, developing, or deploying voice and/or vision solutions in production environments (such as speech recognition, voice assistants, computer vision, or multimodal AI applications).
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.
- Experience developing scalable data collection pipelines and operational processes.
- Ability to proactively identify risks, create mitigation strategies, and ensure timely project delivery.
- Demonstrated success working with engineering, research, and operations to deliver high-impact AI solutions.
- Ability to change the momentum of current plans to a more beneficial course that amplifies team impact
- Effective communication skills and executive presence.
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.
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Technical Program Manager – Copilot Memory and Personalization
Technical Program Manager – Copilot Memory and Personalization
- Location
- Job Number
- City
- Category
- Country
- Discipline
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 Technical Program Manager to help build Copilot memory and personalization – AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
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.
By applying to this role based in U.S. Mountain View, CA, you are required to be local to one of these areas and be in office 4 days a week.
Responsibilities
- Program Ownership & Execution: Drive end-to-end program management for Copilot Memory & Personalization initiatives, including planning, execution, risk tracking, and delivery.
- Cross-Functional Alignment: Partner with engineering, product, privacy/compliance, and design teams to align on program goals, milestones, and deliverables. Ensure dependencies are well-managed and blockers are removed quickly.
- Roadmap & Planning: Own program roadmaps for Memory and Personalization, ensuring priorities are clear, aligned with company goals, and sequenced for maximum impact. Lead cycle and release planning processes.
- Evaluation & Metrics: Define success criteria and evaluation frameworks in collaboration with engineering and data science. Track progress with dashboards and metrics (e.g., memory coverage, latency, compliance readiness).
- Privacy & Compliance Readiness: Partner closely with stakeholders to ensure all Memory & Personalization features meet regulatory and compliance requirements (e.g., opt-out flows, data-type tagging, and DSA obligations).
- Process & Efficiency: Improve execution efficiency by driving consistent processes for experiment tracking, flighting, and quality evaluation across squads. Identify gaps and propose solutions.
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.
- 2+ years of experience leading AI-focused products or programs.
Preferred qualifications
- Bachelor’s Degree AND 6+ years’ experience in 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.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
- Prior exposure to Large Language Models (LLMs), evaluation, or human-in-the-loop systems.
- Experience working in a startup like environment.
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.
#MicrosoftAI #Copilot
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Member of Technical Staff, MLE
Member of Technical Staff, MLE
- Location
- Job Number
- City
- Category
- Country
- Discipline
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 looking for a talented and experienced Machine Learning Engineer to join our Growth team and help shape the next generation of AI systems, specifically for our personal AI assistant, Copilot. This role focuses on optimizing user engagement, retention, and personalization with innovative AI solutions, with a strong preference for expertise in recommendation systems and feed algorithms. However, we also welcome candidates with broader machine learning 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.
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 and Deploy Models: Design, develop, and implement machine learning models for high-performance recommendation systems and personalized feeds. Candidates without direct experience in recommendations and ranking are still encouraged to apply if they possess exceptional technical skills in other areas of machine learning.
- Large Language Model Expertise: Leverage large language models (LLMs) to create scalable, intelligent solutions for content understanding, user engagement, and relevance ranking.
- Experimentation and Analysis: Drive data-driven experimentation using A/B testing, advanced analytics, and statistical techniques to identify growth opportunities and refine algorithms.
- Infrastructure Optimization: Develop and optimize pipelines, tools, and infrastructure to support real-time decision-making, personalization, and predictive analytics.
- Technical Leadership: Mentor team members and foster collaboration within cross-functional teams, including engineers, product managers, and designers.
- Continuous Innovation: Stay informed on emerging trends in AI and machine learning, and integrate them to drive innovation and improve product offerings.
- Cross-functional Collaboration: Articulate findings and recommendations to technical and non-technical audiences, influencing decisions across teams and leadership.
- Embody our Culture and Values.
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, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 3+ years of experience building and deploying ML models in production environments.
- Strong coding skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow).
- Familiarity with data processing tools (e.g., Spark, Pandas) and cloud platforms (e.g., Azure, AWS).
- Experience with classification, recommendation, or personalization systems.
Preferred Qualifications:
- Advanced degree (PhD/MS) in Computer Science, Machine Learning, AI, or a related field; or equivalent experience.
- Proven expertise in building and deploying recommendation systems and personalized feed algorithms at scale.
- Experience using large language models (LLMs) for machine learning and AI applications.
- Hands-on experience in growth engineering, driving improvements in user acquisition, engagement, and retention.
- Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Expertise in personalization strategies and user behavior modeling.
- Strong problem-solving skills and the ability to independently design solutions to complex challenges.
- Excellent communication skills, with the ability to influence technical and non-technical audiences.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
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.
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