New York, United States

Principal Product Designer Principal Product Designer

Location
New York, United States
Job Number
200037502-en-3
City
New York
Team
Design & Research
Country
United States
Discipline
Product Design
Overview

Microsoft AI is shaping the future of human-AI interaction by designing technology that earns trust, amplifies human potential, and makes life meaningfully better. As part of the MAI design and research team, you will help define the next generation of generative AI experiences, balancing product strategy, interaction design, and brand expression to create engaging products for over a billion users. We’re seeking a Principal Product Designer with deep expertise in consumer product design, visual design, and storytelling to shape the future of media experiences. On the Content team, our mission is to inform, entertain, and inspire our customers across Windows, the Edge browser, and the Copilot app. We’re reimagining how people discover, consume, and engage with media in the age of AI. 



Responsibilities
  • Define and design innovative product features that leverage generative AI to transform how users discover, consume, and engage with content 
  • Create compelling visual designs and interaction patterns that set new standards for AI-powered media experiences
  • Develop and communicate product vision through storytelling, high-fidelity prototypes, and strategic presentations to leadership and cross-functional partners
  • Drive design strategy for consumer-facing media products, balancing user needs, business goals, and technical constraints
  • Collaborate closely with product management, engineering, research, and CTO to shape product roadmaps and prioritize features
  • Establish design principles and patterns that scale across multiple surfaces and experiences
  • Mentor and elevate design quality across the team through design reviews, feedback, and craft leadership
  • Stay ahead of industry trends in AI, media, and design, bringing innovative ideas and best practices to the team
  • Understand the behaviors, motivations, and needs of our customers to develop relevant and impactful experiences 


Qualifications

Required Qualifications 

  • Master’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems).

Preferred Qualifications

  • 9+ years experience working in product or service design
  • Demonstrated sense of interaction design attuned to the fundamentals of user experience, includin 


Product Design IC5 – The typical base pay range for this role across the U.S. is USD $142,800 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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


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




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

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Location
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Job Number
200023147-en-2
City
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Team
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Overview

Join Microsoft’s Ads SDKs team and help shape the future of digital advertising at global scale. We operate in one of the fastest-growing areas of the industry, building high-performance advertising SDKs and platform capabilities that enable monetization across diverse applications and environments.

We’re innovating rapidly – solving hard problems in SDK design, reliability, performance, and observability to deliver best-in-class tools for developers and partners. You’ll work on systems that matter, collaborate across engineering and product teams, and see your work directly influence business growth.

Be part of this exciting journey with Microsoft’s Ads SDKs team and make a lasting impact on the future of digital advertising.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

 



Responsibilities
  • Lead the design, architecture, and development of key components of the Windows Ads SDK, making informed design decisions that balance performance, scalability, reliability, and maintainability.
  • Build and enhance CI/CD pipelines, test infrastructure, and automation to enable reliable, high-quality, and frequent releases, including validation in non-production environments.
  • Design and implement features and enhancements that improve the ad delivery experience on Windows platforms while meeting Microsoft standards for security, privacy, accessibility, and compliance.
  • Collaborate with architects and cross-functional engineering teams to evaluate design options, document tradeoffs, and evolve solutions that integrate cleanly with existing systems.
  • Drive data-informed feature rollouts, leveraging telemetry and experimentation to monitor feature health, system performance, and customer impact.
  • Participate in and influence design and code reviews, applying secure design principles, sharing best practices, and contributing to a culture of engineering excellence.
  • Work closely with partner teams to ensure end-to-end readiness, including integration testing, live-site coverage, clear ownership, and defined escalation paths prior to production releases.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
    • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
 
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 6+ years of professional software engineering experience building, shipping, and maintaining production-grade software systems.
  • 4+ years of hands-on experience with C++, C#, .NET, and Windows development frameworks such as  Win32 API, WinUI3 and/or UWP, along with working knowledge of JavaScript.
  • Experience designing and optimizing software for performance, reliability, and efficient resource utilization across diverse runtime environments and deployment scenarios.
  • Experience building or integrating systems in cloud-based environments, including telemetry, monitoring, CI/CD pipelines, or backend service interactions.
  • Ability to work effectively across multiple domains, technologies, and ambiguous problem spaces, adapting quickly to evolving requirements.
  • Familiarity with advertising technology concepts such as SDK development, ad delivery pipelines, telemetry, experimentation, or monetization platforms is a strong plus.
#BingAds #AdSDK #MicrosoftAI

 



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 – $261,000 per year.

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


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




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

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Software Engineering IC4 Software Engineering IC4

Location
New York, United States
Job Number
200033059-en-2
City
New York
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

Build the platform that powers Microsoft’s advertising business. The Monetize engineering team builds the sell-side platform (SSP) and curation tools that serve first-party ads across all Microsoft properties and for major third-party publishers worldwide. We’re hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.

What you’ll work on:

Designing and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL)
Driving a large-scale infrastructure migration from VMs to Kubernetes
Full-stack feature delivery across GraphQL APIs and TypeScript frontends — UIs, APIs, and tools for business-critical workflows
Live-site engineering — owning production health, incident response, and observability
Building new applications from scratch as the platform expands into new areas
Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves

Who we’re looking for:
You use AI-powered development workflows (Copilot, LLM-assisted coding, agentic tools) as a daily force multiplier — not as a novelty, but as a core part of how you ship software faster and better. You’re always experimenting with new tools to raise your own bar and help your teammates do the same.

Why this team:

A tenured, tight-knit team of 9 engineers where retention speaks for itself — people stay because the work matters and the team is genuinely great
High-impact, high-autonomy work: you own features end-to-end from design through production
Clear path to Principal and beyond — significant opportunities for technical ownership and scope growth
The platform is evolving fast — you’ll shape what it becomes, not just maintain what exists

About the role:

Improves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • AI-Native Development
    • Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.
  • Coding
    • Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them. Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
  • Design
    • Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions. Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements. Mentors others on and independently creates a clear test strategy that ensures solution quality.
  • Engineering Excellence
    • Applies and identifies best practices for building code based on well-established methods and secure design principles. Leads product development and scaling to customer requirements. Remains current by investing time and effort into staying abreast of current developments. Leads efforts to use and enhance, or build, new software developer tools to support easier, faster, and more effective software engineering across products. Leads efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility across solutions and teams. Collaborates with partner teams to ensure products work well with partner team components, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live.
  • Implement
    • Leads efforts for experiments that determine the impact of changes using feature flags/flighting, interprets results, and decides on next steps. Leverages subject-matter expertise to partner with stakeholders to drive project plans, release plans, and work items. Breaks down long-term project vision into milestones as part of an overall roadmap. Leads leveraging existing deployment frameworks, automating deployment tasks when possible. Proactively follows safe change deployment best practices to minimize adverse impact to users and other services.
  • Reliability and Supportability
    • Integrates, designs, and reviews others’ work to integrate logging and instrumentation for gathering telemetry data on system behavior. Holds accountability as a designated responsible individual (DRI), working on-call to monitor system/product/service for degradation, downtime, or interruptions. Maintains operations of live site service, following security best practices when responding quickly to mitigate issues. Reviews and writes incident postmortems and presents insights that drive changes to reduce or eliminate incidents.
  • Understand User Requirements
    • Partners with and guides appropriate internal and external stakeholders and leverages expertise to determine and confirm customer/user requirements and their feasibility for a set of scenarios. Seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Experience with C#/.NET and Azure cloud services (e.g., AKS, Azure Functions, Cosmos DB, Azure SQL).
  • Experience with production live-site engineering, observability tooling, and incident response. Familiarity with GraphQL, CI/CD pipelines, and infrastructure-as-code.
  • Candidates with comparable experience in Java and/or AWS are encouraged to apply.


#MicrosoftAI #CSharp #Azure #Kubernetes #BackendEngineering #FullStack



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 $160,200 – $261,000 per year.

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


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




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

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Director, Content Engineering, MAI Director, Content Engineering, MAI

Location
New York, United States
Job Number
200036355-en-2
City
New York
Team
Monetization
Country
United States
Discipline
Product Management
Overview

The Director of Content leads the editorial direction, editorial operations and cross collaboration with our product and engineering teams to ensure the success and integrity of our content across Microsoft MAI surfaces. In this role, they aim to build experiences that inform and entertain while ensuring high-quality, timely delivery of AI-powered products across MAI Content.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

 



Responsibilities
  • Develop and implement quality guidelines and workflows for premium AI-powered content experiences across MAI surfaces.
  • Shape editorial guidelines and direction of our AI product experiences through a data driven content strategy and prompt-engineering guidance.
  • Execute established quality guidelines at scale in partnership with product and engineering teams.
  • Lead the development of large editorial projects – design, editorial, product experience – around key tentpole events like World Cup, Met Gala, F1 etc.
  • Oversee weekly, monthly, quarterly editorial planning across all surfaces. 
  • Lead cross-functional projects with product, technical, and design teams, influencing scale and editorial outcomes.   
  • Drive editorial judgment on nuanced topics, balancing creative, technical requirements, and business objectives. 
  • Collaborate with Product and Engineering teams on model evaluation, prompt engineering, and strategic planning.  
  • Make data informed decisions that meet audience, editorial, and business objectives.
  • Identify workflow improvements to enhance efficiency and product quality across editorial content product.
  • Work with the VP, Content on audience development, how to bring new and younger audiences into the MSN and Microsoft AI experiences.


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 3+ years people management experience.
  • Proven experience in driving editorial direction, strategy, and accuracy at scale.
  • Proven excellence in executing editorial judgment and leading editorial direction. 


Preferred Qualifications:

  • Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • Proven experience collaborating with product and technical engineering teams.
  • Experience building products for broad audiences at scale.
  • Solid communication and leadership experience.
  • Experience with GenAI content. 


#MicrosoftAI 



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

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


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




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

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Principal Product Manager, Content Monetization Principal Product Manager, Content Monetization

Location
New York, United States
Job Number
200034981-en-3
City
New York
Team
Monetization
Country
United States
Discipline
Product Management
Overview

MSN is one of the largest content properties on the internet, reaching hundreds of millions of users across Windows, Edge, Copilot, and the open web. As we move towards an agentic future, we are rethinking our ad formats, diversifying our demand mix, building new sponsorship and branded content products, and strengthening the supply quality. 

We’re looking for a senior product leader to own this transformation end to end. You will be the single accountable person for MSN monetization strategy, product development, and revenue performance. You’ll work across engineering, sales, leadership, and finance to ship products that grow the business while improving the user experience. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Define and execute the MSN monetization strategy across our suite of premium brand products, sponsorship, and new measurement capabilities.
  • Partner with finance to build credible forecasts and track delivery against plan. e.g. Identify and close gaps before they become surprises, etc.
  • Partner with MSN editorial leadership to align the commercial strategy with the editorial direction. 
  • Coordinate across engineering teams to sequence the technical investments (ad serving, data infrastructure, format development) against the commercial roadmap.


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 10+ years experience in product/service/program management or software development
    • OR equivalent experience.


Preferred Qualifications:

  • Bachelor’s Degree AND 15+ years experience in product/service/program management or software development
    • OR equivalent experience.
  • 10+ years of experience in ad monetization, ad product management, or platform economics, with at least 5 years in a senior or leadership role.
  • Deep understanding of the programmatic advertising ecosystem.
  • Experience building and shipping premium ad products (sponsorships, branded content, high-impact placements) and working with sales teams to bring them to market.
  • Demonstrated ability to own a revenue target and deliver against it. You’re comfortable presenting financial performance to senior leadership and making real-time tradeoffs between short-term yield and long-term positioning.
  • Track record of operating independently across multiple teams (engineering, sales, editorial, finance) without needing someone else to broker alignment for you.
  • Solid product sense for ad formats and user experience.
  • Experience at a large-scale content or media platform (news, video, social, or aggregation) where you’ve dealt with the specific dynamics of editorial trust, ad quality perception, and brand safety.
  • Familiarity with audience data infrastructure: identity resolution, match rates, first-party data activation, and privacy-compliant targeting at scale.
  • Experience managing through a platform transition (e.g., migrating ad products across surface redesigns, consolidating demand across legacy and new experiences).
  • Exposure to gaming monetization, video ad products, or cross-surface attribution.


#MicrosoftAI 



Product Management IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 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 $220,800 – $331,200 per year.

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


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




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

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Senior Brand Strategist Senior Brand Strategist

Location
New York, United States
Job Number
200034618-en-2
City
New York
Team
Copilot
Country
United States
Discipline
Brand
Overview

Microsoft AI is the superintelligence lab at Microsoft — a global network of researchers, engineers, scientists, and creative minds dedicated to advancing the science of artificial intelligence. We build and scale foundational AI models and push the research frontiers that power breakthrough capabilities across Microsoft’s portfolio. Guided by our Humanist AI values, everything we do is oriented toward earning trust and amplifying human potential

As a Brand Strategist in the MAI Creative Studio, you will be working alongside the Brand Strategy Lead (your manager) and partner with Creative, Design and Product Leaders to build communications planning strategies that bring Microsoft AI’s research and scientific mission to life — translating complex, highly-technical decisions into coherent stories that build cultural relevance and lasting brand equity. You will sit at the intersection of research, engineering, brand strategy, product marketing, and creative expression to ensure MAI’s scientific story is told with clarity, consistency, and high creative ambition.

This is an IC-level role, with 75% of time dedicated to Microsoft AI brand & communications efforts and 25% supporting Copilot brand and product marketing.

Mission And Culture

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.



Responsibilities

MAI Brand Strategy, Portfolio Narrative & IP Management

  • Partner with key stakeholders across MAI to lead or contribute to building the foundational Microsoft AI brand strategy and expression, with a specific focus on how MAI’s research and scientific, humanist identity that differentiates against other labs.
  • Steward relationships across AI product leads, marketing, and MAI Creative Studio to create a coherent portfolio narrative of MAI research and scientific initiatives that fit together within a larger story.
  • Lead or contribute to workshops and training to educate teams on Microsoft AI’s brand strategy and expression.

Cultural Planning & Activation

  • Partner with MAI product leads and MAI brand leads – Writers, Designers, and Project Management – to translate MAI’s research and scientific portfolio of initiatives into semi-annual cultural calendars for MAI brand moment campaigns based on product roadmap.
  • Partner with researchers, scientists, and product leads to translate technical milestones into audience-appropriate narratives that drive understanding, trust, and cultural relevance.
  • Proactively anticipate major research moments and model launches, building communications plans that sequence messaging across internal and external channels.
  • Serve as a connective tissue between MAI Creative Studio, product marketing, and research teams — ensuring brand voice, scientific credibility, and creative expression are never in conflict.
  • Guide brief writing, provide direction to cross-group teams, and develop strategies to engage cross-company stakeholders.

Cultural Insights

  • Partner with UXR and Research & Insights teams to track brand perceptions and reporting through various types of studies (e.g., qualitative, quantitative) to support broader MAI strategy and initiatives.
  • Partner with internal teams and commission studies with agencies to support research and insight identification as needed.
  • Monitor brand performance and brand impact, and look for emerging opportunities across the company and portfolio.

Naming

  • In partnership with MAI product teams (e.g., Product Marketing, Engineering), lead or support naming efforts of Models, Research, and other work across the Microsoft AI portfolio.
  • Direct naming efforts and naming rhythm of business, as needed.
  • Drive approvals with senior management and work with external partners to support the naming process.


Qualifications

Required/Minimum Qualifications

  • 6+ years work experience at a branding agency or with product marketing, brand building, and/or strategy development OR equivalent experience

Additional Or Preferred Qualifications

  • 6+ years brand/creative strategy and communications/connections strategy experience, which could include brief writing and/or managing strategy on the corporate or agency side.
  • 6+ years of communications/connections planning experience building integrated campaigns that bring brands into culture.
  • Strong insight into the AI discourse, tensions and implications across various parts of culture (media, arts, etc.)
  • Genuine technical fluency in AI/ML: you can read a research paper, follow a model architecture conversation, and know enough to ask the right questions that inform how we go to market.
  • Comfort operating in ambiguity: this role will define its own shape, and that’s a feature, not a bug.
  • Luxury, lifestyle, or entertainment experience preferred.
  • 6+ years experience managing projects (e.g., internal stakeholder management, timelines, prioritization, road mapping).
  • A strategic mindset, able to balance short- and long-term goals, and to translate business objectives into brand solutions.
  • Effective communication and presentation skills, able to articulate and justify ideas and recommendations with clarity and confidence.
  • A collaborative and inclusive work style, able to work effectively with diverse teams and stakeholders across different levels and functions.
  • A customer-centric and empathetic approach, able to understand and anticipate the needs and preferences of target audiences.
  • A growth mindset and a curiosity for learning, willing to experiment, iterate, and adapt to changing environments and feedback.


Brand IC4 – The typical base pay range for this role across the U.S. is USD $106,400 – $203,600 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 $137,600 – $222,600 per year.

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


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




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

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Machine Learning Software Engineer Machine Learning Software Engineer

Location
New York, United States
Job Number
200008102-en-1
City
New York
Team
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Country
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Discipline
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Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


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


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 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:

  • Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
    • OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI

 #mai-datainsights

 #mai-datainsights



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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


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




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

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Principal Machine Learning Engineer Principal Machine Learning Engineer

Location
New York, United States
Job Number
200008111-en-1
City
New York
Team
Data, Security & Privacy
Country
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Discipline
Software Engineering
Overview
As a Principal Machine Learning Engineer, you will work on the Data Labeling and classification on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines. We’re looking for someone with experience in data pipelines, data science, and machine learning, as well as a strong communicator and great teammate. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


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


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

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

#MicrosoftAI 

 #mai-datainsights #mai-datainsights



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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


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




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

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

Location
New York, United States
Job Number
200010528-en-1
City
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Team
Data, Security & Privacy
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Discipline
Data Engineering
Overview

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

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

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.   

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.



Responsibilities
  • Build scalable data pipelines for sourcing, transforming and publishing data assets for AI use cases.
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation data platform products and services. 
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  
  • Enjoy working in a fast-paced, design-driven, product development cycle. 
  • Embody our Cultureand Values.   


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work
    • OR Master’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, or data engineering work
    • OR equivalent experience. 
Preferred Qualifications:
  • 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including, but not limited to, Python, Java, Spark, SQL.  
  • Experience working with Apache Hadoop eco system, Kafka, NoSQL, etc. 
  • 3+ years experience with data governance, data compliance and/or data security.
  • 2+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  
  • 2+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.   
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.
  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.  
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.  
  • Interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  

 #mai-datainsights #mai-datainsights



Data Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

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


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




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

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

Location
New York, United States
Job Number
200014030-en-1
City
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Team
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Discipline
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Overview
As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.
 
We’re looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.


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


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI 

 #mai-datainsights #mai-datainsights



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

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


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




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

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English (United States)
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