At MAI, we are pioneering the future of what AI and consumer technology can be.

Industry: Software Development
Company Size: 5,001-10,000 employees

Microsoft AI

Savvy Admin PROD

**Overview**

Microsoft AI (MAI) is building AI‑powered, content‑driven experiences used by hundreds of millions of people globally. Our products sit at the intersection of consumers, publishers, creators, advertisers, and sales partners—and increasingly require clear articulation of how and why we make product decisions, not just what we ship.

We are looking for a Principal Product Marketing Manager to deliver a clear articulation of our product’s value in the marketplace – to publishers, to the sales team and to customers.

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**

- Own the product narrative for MAI Content

- Work directly with Product and Engineering to explain how and why MAI Content makes product decisions, including areas like AI-generated content (AIGC), Publisher Content Marketplace (PCM), monetization approaches, recommendation & personalization systems, content formats, and roadmap tradeoffs.

- Translate internal product logic, constraints, and principles into clear external‑facing narratives for sales, partners, and publishers, without over‑simplifying or over‑promising.

- Articulate MAI Content’s AI principles, quality standards, and guardrails

- Help define and communicate MAI’s principles for AI‑generated content, including quality bars, safety considerations, and trust frameworks.

- Partner closely with Product and Policy to ensure our external messaging reflects how the systems actually work, not aspirational abstractions.

- Serve as a steward for clarity in areas where AI behavior, evaluation, or tradeoffs are non‑obvious.

- Define audiences, formats, and ecosystems—globally

- Own MAI’s audience and format narratives, including how different products and surfaces behave across regions and use cases.

- Clearly explain how MAI audiences show up for publishers, creators, and sales teams, and how formats and inventory should be understood in context.

- Ensure audience narratives are consistent, grounded in reality, and usable across GTM motions.

- Partner deeply with Sales on positioning and revenue growth

- Work with Sales to define new brand and product positioning, particularly for emerging monetization and ad products.

- Translate product capabilities into sales‑ready narratives that support revenue growth without distorting product truth.

- Act as a strategic thought partner to Sales leadership on how MAI offerings should be framed in market.

- Shape MAI Content’s internal and external communications channels

- Develop narratives for internal and external communication about our product strategy, roadmap and how it connects to the values of journalism and quality content.

- Ensure consistency between our team and MAI / MSFT core narratives.

- Be a connective tissue across MAI

- Operate as a trusted cross‑functional partner spanning Product, Marketing, Monetization, Sales, Policy, Growth, and Leadership.

- Identify gaps where product intent, market understanding, and execution are misaligned—and step in to close them.

- Contribute to MAI‑level strategic documents, narratives, and leadership conversations.

**Qualifications**

**Required Qualifications:**

- Master's Degree in Marketing, Computer Science, Business or related field AND 4+ years experience in business OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 6+ years experience in business

- OR equivalent experience.

**Preferred Qualifications**

- Master's Degree in Marketing, Computer Science, Business or related field AND 8+ years marketing or sales experience

- OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 12+ years experience in business

- OR equivalent experience.

- 10+ years of experience in Product Marketing, Product Strategy, or adjacent roles at scale.

- Experience working on platforms, ecosystems, or AI‑driven products where behavior and outcomes are not always deterministic.

- Proven ability to translate complex product or technical concepts into clear, persuasive narratives for senior stakeholders.

- Solid judgment around trust, quality, and external commitments.

- Exceptional written and verbal communication skills.

- Experience working with publishers, creators, or advertising‑adjacent ecosystems.

- Familiarity with AI/ML‑driven products, product evaluation, or policy‑adjacent constraints.

- History of partnering closely with Sales on high‑stakes positioning and revenue narratives.

#MicrosoftAI #Product Marketing #Content

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

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

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

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

Principal Product Marketing Manager

**Overview**

We are looking for 2 Data & Applied Scientists II to help teams make better product and business decisions through rigorous experimentation, strong statistical thinking, and practical use of AI in everyday analytical work.

In this role, you will design and analyze A/B experiments, translate results into clear decisions, and continuously evolve how experimentation is done.

This is a hands‑on role for someone who enjoys learning, questioning assumptions, and applying data science to real‑world decisions at scale. This is not a “reporting” role. It is a decision‑making role, where experimentation, judgment, and AI‑enabled workflows come together to shape real outcomes.

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**

- Experimentation & A/B Testing

- Design, analyze, and interpret A/B experiments end‑to‑end, from hypothesis formulation to final decision

- Choose appropriate metrics, success criteria, and evaluation windows based on user behavior and business context.

- Identify and diagnose common experimentation issues (e.g., bias, interference, power limitations, metric sensitivity).

- Communicate experimental results clearly, including uncertainty, limitations, and trade‑offs.

- Decision Science & Insights

- Go beyond “did it move the metric?” to explain why results happened and what decision should be made

- Combine experimental evidence with observational analysis when appropriate

- Partner closely with product, engineering, and design stakeholders to influence direction using data

- AI‑First Analytical Work

- Use AI tools to accelerate analysis, exploration, and insight generation (e.g., faster hypothesis testing, code generation, narrative summaries).

- Continuously evaluate where AI can improve experimentation workflows, without compromising rigor or correctness.

- Develop good judgment about when to rely on automation vs. when deep statistical reasoning is required.

- Learning & Craft Development

- Stay current on experimentation methods, causal inference, and applied statistics.

- Learn and adopt new tools, techniques, and best practices quickly.

- Contribute to shared standards and documentation that improve how teams run experiments and make decisions.

**Qualifications**

**Required Qualifications:**

- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field

- OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience

- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

- OR equivalent experience.

**Preferred Qualifications**

- Experimentation & A/B Testing

- Demonstrated experience designing, analyzing, and interpreting A/B experiments end‑to‑end.

- Solid understanding of experimental design concepts, including hypotheses, control/treatment comparisons, metrics, and evaluation windows.

- Ability to identify and reason about common experimentation challenges such as bias, interference, insufficient power, and metric sensitivity.

- Experience communicating experimental results clearly, including uncertainty, limitations, and trade‑offs.

- Statistical & Analytical Foundations

- Solid foundation in applied statistics (e.g., hypothesis testing, confidence intervals, variance, and basic causal reasoning)

- Ability to work with real‑world data that is noisy, incomplete, or imperfect, and still produce reliable insights

- Solid judgment in selecting appropriate metrics and analytical approaches for decision‑making

- AI‑Enabled Analytical Work

- Experience using AI‑assisted tools to support data analysis, experimentation, or insight generation.

- Ability to thoughtfully integrate AI into everyday analytical workflows while maintaining statistical rigor.

- Curiosity and openness to experimenting with new AI capabilities to improve speed, quality, or clarity of analysis.

- Technical Skills

- Proficiency in SQL for data extraction and analysis.

- Experience with at least one analytical programming language (e.g., Python or R).

- Familiarity with experimentation analysis workflows, dashboards, or analytical tooling.

- Communication & Collaboration

- Ability to explain complex analytical concepts and experimental results to non‑technical audiences.

- Solid written and verbal communication skills focused on driving decisions, not just reporting results.

- Experience working cross‑functionally with product, engineering, or design partners.

#MicrosoftAI #advancedstatistics #A/B #mathematicalEngineering #probabilities #bayesian #frequentist #HET #risk #hypothesis #variance #causation #effectSize #montecarlo #simulations #prior #uncertainty

Data Science IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 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. **

Data & Applied Scientist II

**Overview**

Are you passionate about designing intuitive, AI‑powered experiences that help people discover, navigate, and make decisions about the physical world? Do you thrive at the intersection of user experience, data, and technology—turning ambiguous problems into clear, impactful products?

The Bing/Search Places team is reimagining how users explore and connect with places through search, maps, and AI‑driven experiences across Microsoft’s ecosystem. We’re looking for a Senior Product Manager with consumer product and UX instincts who can shape product direction through discovery and drive execution from concept to launch, owning outcomes end‑to‑end.

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**

- Own and evolve end‑to‑end user experiences for Places and Maps scenarios, from problem definition through launch and iteration.

- Deeply understand customer pain points and lead product discovery through user research, data analysis, and partner feedback, translating insights into clear product bets.

- Partner closely with Design, Research, and Engineering to define intuitive user experiences and drive them to delivery.

- Define roadmaps and success metrics, breaking down ambiguous problems into shippable milestones and iterating based on learning.

- Use experimentation to validate hypotheses and inform prioritization and tradeoffs.

- Communicate product direction and outcomes clearly, influencing cross‑functional and cross‑org partners without direct authority.

- Balance long‑term vision with near‑term execution, making pragmatic decisions that maximize customer impact.

- Model Microsoft’s culture and values, fostering inclusiveness, collaboration, and continuous improvement.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree AND 5+ years experience in product/service/program management or software development

- 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**

- Bachelor's Degree AND 8+ years experience in product/service/program management or software development

- OR equivalent experience.

- 5+ years of product management experience, building and shipping software products

- OR equivalent experience.

- Experience with consumer‑facing products, such as search, web, or maps.

- Experience owning product areas end-to-end, from problem definition through launch and iteration.

- 8+ years of product management experience.

- Experience with AI or AI-powered experiences.

- Proven track record of delivering meaningful customer impact.

- Experience creating and communicating product vision, influencing stakeholders, and driving alignment across teams.

#MicrosoftAI #MAI #Search #Places

Product 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 $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. **

Senior Product Manager, UX

**Overview**

Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

We're looking for a **Senior AI Product Manager **who will drive Copilot model capabilities such as tool-use to ensure that the language models that power Microsoft Copilot deliver high quality responses to our users whilst being grounded, reliable, and cost-efficient. You will work at the nexus of product and research, driving execution in partnership with engineers, language engineers, data scientists and researchers. We’re looking for someone with an abundance of positive energy, empathy, and kindness, in addition to being highly effective. 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**

- Develop and execute on LLM platform strategy for Copilot that extend language model's capabilities.

- Prototype approaches by steering language models to drive response quality across a wide range of scenarios.

- Identify and prioritize platform, orchestration and language model issues that impact quality, factuality and safety and working with engineers and researchers to find a path to resolution.

- Define and build measurable evaluations with relevant datasets to demonstrate quality improvements.

- Define, deploy and manage experiments in production that impact language model's tool use, driving measurable improvements in relevance for and engagement with Copilot users.

- Partner with product teams to scale tool building and work with inference, agents and orchestration teams to resolve dependencies.

- Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.

**Qualifications**

**Required Qualifications**

- Bachelor's Degree AND 5+ years experience in product management OR equivalent experience.

- 3+ years of experience leading ambiguous product areas, defining requirements, developing roadmaps, and working with multi-disciplinary teams to execute them.

- 2+ years of experience building ML-powered or LLM-powered products.

- Hands-on experience with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI), embeddings, vector databases, and tool use.

- Hands-on experience with prompt design, context window management, and model evaluation.

Product 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

Product 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

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. **

AI Product Management, Copilot

**Overview**

As a Member of Technical Staff - Machine Learning (AI Team), you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

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

**Microsoft Superintelligence Team**

Microsoft Superintelligence team’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.

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a **startup-like team inside Microsoft AI **, created to push the boundaries of AI toward**Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. ** Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

**Responsibilities**

- Leverage subject matter expertise to improve model quality for interactive and agentive experiences.

- Oversee data acquisition or generation efforts, ensuring that the data meets the model needs.

- Generalize machine learning (ML) solutions into repeatable frameworks.

- Lead evaluation efforts of models, including those deployed within Microsoft products and the Cloud API.

- Track advances in industry and academia, identifies relevant state-of-the-art research, and adapts algorithms and/or techniques to drive innovation and develop new solutions.

- Independently write efficient, readable, extensible code and model pipelines.

- Commit to a customer-oriented focus by acknowledging customer needs and perspectives and building AI products that delight customers.

**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**

- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

- OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).

- OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).

- Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).

- 4+ years of data science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).

- Experience prompting, evaluating, and working with large language models.

- Experience writing production-quality Python code.

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

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

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

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

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

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

Member of Technical Staff - Machine Learning (AI Team)

**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 Platform Engineer 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.

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

**Responsibilities**

- Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).

- Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.

- Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.

- Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and share knowledge with other engineers.

- Enjoy working in a fast-paced, design-driven, product development cycle.

- Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.

- Embody our culture and values

**Qualifications**

Required Qualification

- 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**

- 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 Master's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

- Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.

- Experience building and deploying machine learning or large language model (LLM) applications at scale.

- Experience designing and implementing large-scale embedding, retrieval, and ranking systems.

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

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering 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. **

Member of Technical Staff - Principal Platform Engineer, Copilot Memory and Personalization

**Overview**

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

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

**Microsoft Superintelligence Team**

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a **startup-like team inside Microsoft AI **, created to push the boundaries of AI toward**Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. ** Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

**Responsibilities**

- Own and pursue a research agenda to improve model capability and performance for agentive application.

- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across our research stack.

**Qualifications**

**Required Qualification**

- 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 Qualification**

- Master's degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience .

- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field and experience in (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

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.

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. **

**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. **

Machine Learning Software Engineer

**Overview**

As a Member of Technical Staff - Machine Learning, you will work to create LLM models for general purpose capabilities and for products. You may be responsible for developing new methods to train core LLM capabilities (including agentive), collecting data, evaluating LLMs, creating data flywheels, tooling for LLM training/evals, writing production quality code, and creating new user-facing features. You should be comfortable creating Reinforcement Learning data, fine tuning, or training classifiers or engineering prompts to create SOTA foundation models and support Microsoft products and the Cloud API. We’re looking for someone with experience in machine learning, software engineering, as well as an effective communicator and great teammate. The right candidate takes the initiative, is user-centered and enjoys building world-class AI experiences and products in a fast-paced environment.

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

**Microsoft Superintelligence Team**

This role is part of Microsoft AI's Superintelligence Team. The MAIST is a **startup-like team inside Microsoft AI **, created to push the boundaries of AI toward**Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. ** Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.

We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!

**Responsibilities**

- Own and pursue a research agenda to improve model capability and performance for agentive application.

- Collaborate closely with the other research and product teams, from pretraining to model hosting to unlock new model capabilities.

- Build robust evaluations for tracking modeling improvements.

- Design, implement, test, and debug code across our research stack.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

- OR equivalent experience.

**Additional Qualifications**

- Doctorate in Computer Science, Machine Learning, Human-Centered AI or related field AND 2+ year(s) experience (e.g., finetuning models with supervision or reinforcement learning, understanding and fixing data quality and curation, working with collaborators on creating new products).

- OR Master's Degree in Computer Science, Machine Learning, or related field AND 5+ years experience (e.g., managing structured and unstructured data, developing and debugging models, creating infrastructure for AI-powered products).

- OR Bachelor's Degree in Computer Science, Mathematics, Machine Learning, Physics, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying machine learning techniques and driving product direction).

- Demonstrated engineering experience or research experience (e.g. creating or leading the creation of a feature in a different company, complex graduate work, research papers, or other experience).

- Experience prompting, evaluating, and working with large language models.

- Experience writing production-quality Python code.

Software Engineering 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. **

**Overview**

Microsoft AI is pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. As a small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.

We are looking for a Senior Product Manager to join the Bing Places team to help define the future of how people search the Web and navigate their lives. Working closely with other MAI teams, you will have the opportunity to define how we use AI to improve our Search journeys, with an opportunity to make a significant impact on our users' lives.

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**

- Contribute to defining a product area by understanding user needs and behaviors, writing product requirements, and supporting end‑to‑end development, launches, and iterations. Identify long-term investment opportunities and drive business impact across the organization.

- Work through roadblocks and help teams ship quickly and iteratively.

- Translate business goals into product strategy, user experience, and technical requirements in collaboration with UX and engineering.

- Define success metrics, support experimentation, and use data to guide decisions.

- Dive into data to understand user behavior, product performance, and new opportunities.

- Communicate clearly and collaborate effectively across cross‑functional teams.

- Model our culture and values in daily work.

**Qualifications**

**Required Qualifications:**

- Bachelor's Degree AND 5+ years experience in product/service/program management or software development

- OR equivalent experience.

**Preferred Qualifications**

- Bachelor's Degree AND 8+ years experience in product/service/program management or software development

- OR equivalent experience.

- Experience with AI.

- Experience with Grounding, Ranking, Query Understanding.

- Experience in the Search space.

#MicrosoftAI

Product 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

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. **

Senior Product Manager, Microsoft AI

**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. **

Member of Technical Staff - Software Engineer & Machine Learning

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