Principal Software Engineer – Copilot Security
Principal Software Engineer – Copilot Security
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Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally.
Copilot for consumers is entering a new era of agentic AI—where intelligent agents act on behalf of users across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.
Why This Role Matters:
Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios—making a global impact on Microsoft’s most transformative products.
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 ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
- Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
- Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
- Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
- Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement.
- Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios.
- Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
- Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers.
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.
- 8+ years in technical engineering roles building large-scale services.
- 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
- Proven ability to design, build, and ship agentic AI features or frameworks
- Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
- Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
- Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
- Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming
- Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
- Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.
#MicrosoftAI
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 Infra – MAI Superintelligence Team
Member of Technical Staff – Data Infra – MAI Superintelligence Team
Senior Applied Scientist
Senior Applied Scientist
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We seek a Senior Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants. Microsoft AI unites product, engineering, and science teams to advance Bing and Consumer Copilot, aiming to provide the best generative search experience through advanced AI/ML technologies and innovative AI features.
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
- Building and owning production machine learning models to improve results.
- Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.
- Finding insights and forming hypothesis on large-scale data with various machine learning, feature engineering, statistical, and data mining techniques: e.g. regression, classification, NLP, optimization.
- Professional working experience on prompt engineering with large LLMs like GPT, Gemini, Claude etc.
- Designing experiments, understanding the resulting data, and producing actionable, trustworthy conclusions from them.
- Wrangling large amounts of data (think petabytes) using various tools, including open-source ones and your own. All programming languages are welcome, especially Python, C#, R, C++, Java, and SQL.
- Taking complex problems and the associated data and giving the answers in a concise form to assist senior executives in making key business decisions.
Qualifications
Required Qualifications:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
- OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
Preferred Qualifications:
- Proficient oral and writing skills.
#MicrosoftAI #ML #GenAI
Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
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 Product Manager – MAI Monetization
Senior Product Manager – MAI Monetization
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Microsoft AI is a customer-first organization building AI powered products in service of our customer’s business goals. The world is changing rapidly during this AI platform shift and we need Product Managers who can live in the future and bring back clarity to the present to guide our work.
As a Senior Product Manager – MAI Monetization, you will help businesses that want to grow and expand their business using our products, data, and services through advertising and new business models that unlock AI-first products. This role requires consistent knowledge and deep awareness of the emerging AI industry to develop new products as we have the freedom and flexibility to use innovative technology in service of our customer.
We work within Microsoft AI (MAI), an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making.
One of the reasons Microsoft AI consistently brings innovative products to market is because of the collaborative work we do in Product Management. We work closely with talented engineers, designers, marketers, creatives, customers, partners, and go-to-market teams to design and develop products tailored for our customer’s benefit. We run lean, obsess about users, and make decisions based on 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’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
- Drive building world-class AI applications that will delight consumers and deliver business results.
- Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations.
- 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, customer-first, product development cycle.
- Translate business goals into strategy, user experience and technical requirements in close collaboration with Applied Science, Data Science, Engineering, UX and Product Marketing/Sales teams.
- Define goals and performance indicators, set up and oversee experiments, measure success with data and research.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 5+ years experience in product/service/program management or software development
- OR equivalent experience.
Preferred Qualifications:
- 2+ years experience leading cross functional product teams across advertising, privacy, search, conversational AI, or generative AI.
- 2+ years experience delivering products that include full Search and/or Advertising technology stack.
- 2+ years experience with data analytics and experimentation tools with working knowledge of SQL and coding skills (Python, Javascript).
- 2+ years of experience building Ads products.
- 2+ years of experience in monetization products and B2B.
- Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.
- Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
#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.
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Language Engineer, Copilot AI
Language Engineer, Copilot AI
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Responsibilities
- Craft and refine the context and prompts used to steer, train and evaluate the language models that power Microsoft Copilot for emotional and intellectual use cases.
- Create evaluations and establish evaluation frameworks to measure both technical/practical performance and non-deterministic performance like EQ
- Research & implement novel prompting techniques
- Spin the data flywheel to extract insights from extensive language datasets to uncover issues and opportunities to improve model response quality.
- Accountable to own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
Qualifications
- Bachelor’s Degree in Computer Science, Philosophy, Linguistics, Psychology, Literature, or related discipline AND 1+ years experience in context engineering with foundational software engineering knowledge.
- 3+ years experience working in a fast-paced environment, managing multiple priorities, and adapting to changing requirements and deadlines.
- Hands-on experience with prompt design, context window management, and model evaluation.
- 2+ years of experience shipping consumer-facing products. You’ve brought products to market, collected user feedback, defined success metrics and iteratively improved products.
- 1+ years of experience in building LLM applications with familiarity in agent and orchestration frameworks, tool use, LLM evaluations and driving efficiency improvements.
- Technical depth in software development, data science and machine learning. While you are not expected to write code on the critical path, you’re able to navigate and contribute to code repositories to implement context engineering improvements and write LLM scorers and classifiers to evaluate model response quality.
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.
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Senior Product Manager, Web Platform
Senior Product Manager, Web Platform
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Microsoft AI is driving the next wave of innovation across Copilot, Bing, Edge, MSN, and other AI first experiences. We are looking for an experienced Product Manager to invent the future of the Web as part of the Microsoft Edge web platform team. Our mission is to steward the web platform by delivering new capabilities, improvements, and innovations that equip the Web to thrive amid a rapidly changing technology landscape. In Edge, we are innovating to meet the challenges and opportunities presented by emerging foundational technologies like artificial intelligence, new monetization paradigms, novel hardware and interaction paradigms, and the continuous need to raise the bar for end user experience including performance, accessibility, and privacy.
As a Web Platform Product Manager, you will work to identify and deliver solutions for the unmet needs of our customers, including web developers, publishers, and end users across platforms, browsers, and operating systems. You will build deep familiarity with the needs of developers, from platform primitives to developer frameworks and tools. You will think deeply about how artificial intelligence can enable novel solutions and accelerate the delivery of new experiences for developers and end users. You will critically evaluate how new capabilities affect the quality of the user experience, fundamental expectations around performance, privacy and accessibility, and the ecosystem of publishers, advertisers, and creators across the Web. You will work with industry groups like the Chromium project, and standards bodies like the W3C, to socialize and iterate on innovate proposals on behalf of the Web community. This opportunity will empower you to deliver meaningful impact for tens of millions of developers and billions of Web users, and to enable a thriving Web for the next era of computing.
This is an in-person position based out of Microsoft’s campus in Redmond, WA or an approved Microsoft satellite campus, with flexibility to work from home up to one day a week.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to 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
- You will drive business impact across the organization and track success criteria for web platform features and strategic initiatives. You’ll also identify long-term investment opportunities and engage internal and external partners to validate requirements and garner support for features and initiatives
- You will define platform features to meet the needs of internal and external partners. You will define requirements with customers and facilitate API design, iteration, and experimentation with cross-functional stakeholders internally and with industry groups including standards bodies and open-source projects. You’ll own the roadmap for multiple feature areas and will collaborate with partner teams to build golden configurations and drive scenario walkthroughs.
- You will scale Product Marketing teams by helping build marketing, roll-out, and customer support plans. You’ll also promote the feature areas you worked on and present at large events.
- You will partner with others to collect performance metrics and form hypotheses for complex technical needs in order to improve product development in targeted areas. You’ll also identify features to deprecate, manage customer communities, and build trust with targeted customers.
Qualifications
Required Qualifications:
- Bachelor’s Degree AND 5+ years experience in product/service/project/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.
- Professional experience working on web browsers or in web standards (or similar related experience) or building developer-facing products (developer tools, app platforms, etc.)
- Experience using artificial intelligence tools for web development including e.g. agentic coding tools (such as GitHub Copilot), MCP, Google Antigravity, Claude Code, etc.
- Experience with developer relations and/or developer advocacy (e.g. evangelizing developer tools or frameworks in articles, blogs, social media, videos, etc; presenting at developer conferences; working directly with highly technical customers to gather and synthesize requirements; influencing product roadmaps on behalf of customer requirements)
- Experience with product development for large web applications (e.g. web apps, desktop/mobile applications built on the web platform, etc.)
- Professional experience with web technologies including HTML, JS, and CSS
#MicrosoftAI #edgejobs
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.
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Director of Product Operations
Director of Product Operations
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Microsoft AI’s (“MAI”) Mission is to use AI responsibly to make everyone more informed, capable, and supported. MAI is responsible for Microsoft’s consumer propositions including Copilot, Bing, MSN, Microsoft Advertising, and Edge, as well as developing proprietary foundational AI models. MAI works closely with a variety of teams across Microsoft and across the full AI stack to deliver on Microsoft’s AI ambitions. Within MAI, the Monetization team focuses on both direct (paid directly by a customer) and non-transparent (paid by a third party) models of revenue generation across Microsoft properties.
As the Director of Product Operations in Microsoft AI Monetization, you will help create the connective tissue between product, engineering, and go-to-market teams. Efficiency in process, stakeholder communications, and business goal setting and tracking has helped remove friction and improve performance across functions and teams. Examples include optimizing the product development lifecycle from initial product ideation to launch readiness, defining OKRs for the organization with product leaders, and managing stakeholder communication and expectations.
Our Monetization teams work within Microsoft AI, an organization responsible for Copilot, Bing, Edge, MSN, and other AI-first products. The organization has all the ingredients needed for success with Product, Engineering, Research, and Go To Market functions partnering as peers with shared goals. This enables close collaboration and rapid decision making. You will work closely with our Product, Engineering, and Sales leaders to ensure efficient and effective operational processes across the product development lifecycle.
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 optimize scalable processes for the entire product development lifecycle.
- Establish and maintain a predictable rhythm for product releases and strategic planning.
- Streamline communication channels between product, engineering, design, and commercial teams.
- Partner with data science to build and maintain dashboards to monitor product health and performance.
- Serve as the central point of contact for operational inquiries related to the product portfolio.
- Communicate product roadmap updates, launch timelines, and performance insights to the wider organization.
- Create and maintain a centralized knowledge base, serving as the single source of truth for product documentation.
Qualifications
Required Qualifications:
- Bachelor’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR equivalent experience.
Preferred Qualifications:
- Master’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 12+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR Bachelor’s Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 15+ years experience in financial management, business planning, operations management, strategy, project management, human resources, or business-related roles
- OR equivalent experience.
- Consistent history of working directly with product, engineering, and go-to-market (GTM) leadership managing multiple complex, large-scale product launches and go-to-market strategies simultaneously.
- 5+ years of product operations experience that includes product development lifecycle experience
- 5+ years of experience with product roadmap management and strategic planning for product releases
#MicrosoftAI
Business Management IC6 – The typical base pay range for this role across the U.S. is USD $130,900 – $277,200 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 $165,600 – $303,600 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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MTS – Site Reliability Engineer
MTS – Site Reliability Engineer
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- Job Number
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- Country
- Discipline
Responsibilities
- Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.
- Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.
- Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).
- Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.
- Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.
- Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.
- Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.
Qualifications
Required Qualifications
- 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.
Preferred Qualifications
- Strong proficiency in Kubernetes, Docker, and container orchestration.
- Knowledge of CI/CD pipelines for Inference and ML model deployment.
- Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code.
- Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.).
- Strong programming/scripting skills in Python, Go, or Bash.
- Solid knowledge of distributed systems, networking, and storage.
- Experience running large-scale GPU clusters for ML/AI workloads (preferred).
- Familiarity with ML training/inference pipelines.
- Experience with high-performance computing (HPC) and workload schedulers ( Kubernetes operators).
- Background in capacity planning & cost optimization for GPU-heavy environments.
- Work on cutting-edge infrastructure that powers the future of Generative AI.
- Collaborate with world-class researchers and engineers.
- Impact millions of users through reliable and responsible AI deployments.
- Competitive compensation, equity options, and comprehensive benefits.
Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $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.
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Advertising Account Manager
Advertising Account Manager
- Location
- Job Number
- City
- Team
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Microsoft Advertising (MSA) empowers the largest advertisers around the world to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform. We are seeking top performing Account Executives with digital advertising experience who can drive revenue and increase customer satisfaction by developing and cultivating strategic client relationships and delivering customized solutions aligning to the client’s advertising needs. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
As an Account Manager (AM) focused on Microsoft Advertising, you will enable Microsoft to better serve clients by applying your obsession to what clients care about and need, ensuring our story is valued and understood, and building and maintaining solid trusted-advisor relationships with day-to-day practitioner contacts at advertiser/agency. You will drive both revenue and client satisfaction across MSA’s performance solutions and as a core member of the account team, this opportunity will allow you to focus on driving data-driven optimizations aligned with client needs, executing campaigns and driving solid coordination or internal resources for excellence in execution of core tasks, account transitions, and client account health.
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 within the US, or a 25-mile commute of a non-US, 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
- You will plan with purpose through client planning as you will partner with the teams, including AEs, Specialist team to develop and execute MSA account plan, leveraging winning sales strategies replicated across clients and client types.
- You will learn about the client’s business drivers, compelling events, seasonality of business to identify opportunities to optimize consumption and partner with the Account Executive in development of sales plans for the client. Goals focus on Search and incubation product growth, as well as cross Microsoft opportunities and share accountability with the Account Executive and the team.
- You will influence existing Digital Marketing Managers and Directors, Digital Buying Groups and always leads with insights and data and tailor content and messages about ways to grow and optimize campaigns to increase business results as you influence Stakeholders and Decision Makers by sharing data insights and product demonstrations, bring to life how MSA can increase business results.
- You will optimize the existing book of client business to achieve sales targets and deliver excellent sales hygiene, consistently execute against pipeline, opportunity management, and revenue goals. Uses a solution selling mindset to identify across Microsoft opportunities that deliver end-to-end beneficial client outcomes as well as bring the best resources to overcome blockers and ensure success.
- You will support the Account Executive in building a negotiation plan to ensure smooth closing and timely renewal of contracts.
- You will maintain a positive approach during difficult objections & negotiations and demonstrate expertise in MSA’s features and incentives, including incubations products. Able to upsell and increase consumption of existing products, identify winning sales strategies, package them for efficiency and replicate them across similar client type
- Embody our culture and values
Qualifications
Required Qualifications:
- Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 2+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
- OR Bachelor’s Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
- OR 6+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising)
- OR equivalent experience.
Preferred Qualifications:
- Master of Business Administration (MBA) Degree in Sales, Marketing, or related field AND 4+ years relevant work experience (e.g., sales, advertising, or marketing with a focus on digital advertising online media, search advertising, or Search Engine Marketing Sales)
- OR Bachelor’s Degree in Sales, Marketing, or rezlated field AND 5+ years relevant work experience (g., sales, advertising, or marketing with a focus on digital advertising online media, search advertising, or Search Engine Marketing Sales)
- OR 8+ years relevant work experience (g., sales, advertising, or marketing with a focus on digital advertising online media, search advertising, or Search Engine Marketing Sales)
- OR equivalent experience.
- 2+ years of experience managing hands-on search advertising campaigns and other performance-based digital marketing campaigns.
- 2+ years of experience in online media or Search Engine Marketing Sales and Service experience.
- Experience within the Travel industry.
#MicrosoftAI #MicrosoftAdvertising #MSA #MAI
Advertising Client Success IC3 – The typical base pay range for this role across the U.S. is USD $85,100 – $169,800 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 $112,000 – $185,300 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.
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Principal Data Scientist
Principal Data Scientist
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We are looking for a Principal Data Scientist leader, creative modeling geeks who are willing to work in a dynamic environment to solve real life day to day problems, leveraging data science techniques. You will enjoy and be successful in this role if you are curious and willing to challenge the status quo and come up with data driven solutions to ambiguous problems.
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
- Measurement: Define, invent, and deliver metrics which accurately measure user and business value across various products and marketplace components.
- Experimental Design: Think critically about sampling and experimental design across User and Demand dimensions.
- Product Iteration: Interpret the results of analyses, validate approaches, and learn to monitor, analyze, and iterate to continuously improve.
- Cooperation: Partner effectively with program management, engineers, and other areas of the business across our Consumer online business
- Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements.
- Make independent decisions for the team and handle difficult tradeoffs.
- Translate strategy into plans that are clear and measurable, with progress shared out monthly to stakeholders.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years of experience in at least one of programming languages like Python/R/MATLAB/C#/Java/C++
- Experience in applying statistics, designing experimentation and metrics particularly in Advertising platforms.
Preferred Qualifications:
- Organizational, analytical, data science skills and intuition .
- Problem solver: ability to solve problems that the world has not solved before ,
- Interpersonal skills: cross-group and cross-culture collaboration.
- Experience with real world system building and data collection, including design, coding and evaluation.
- Excellent communication to be able to communicate insights to senior leaders.
- Experience with driving large collaboration across multiple teams.
- Experience with communicating with different audiences to provide insights.
- Demonstrated experience in applying statistics, experimentation and metrics to generate clear actionable insights.
Data Science IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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 Data Science Manager
Principal Data Science Manager
- Location
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Microsoft AI (MAI) creates innovative AI-powered and personalized web experiences in Microsoft Windows, Edge & Bing, that inform, entertain, add value, save money, and breathe productivity into the life and work of millions of customers. MAI makes the web work for our consumers, advertisers, and publishers in a safe environment where everyone can get informed, entertained, save money and thrive!
MSN is a personalized content feed powering user experiences across Microsoft. Our mission is to empower every person on the planet to be informed, entertained, and inspired. We are looking for an experienced Principal Data Science Manager to join our Growth and Analytics team.
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
- Work with a host of engaged stakeholders who value your skills and consider you thought partners in driving the business.
- Lead a team of data scientists and empower them to do their best work.
- Collaborate with cross-functional teams to understand features, estimate impacts and drive the engagement improvements based on insights from big data.
- Enhance products by evaluating performance metrics and user feedback. Develop self-service dashboards and reports for various stakeholders using reporting platforms.
- Analyze large datasets to identify patterns, trends, and content performance to improve the relevance and quality of our recommendation systems.
- Build metrics system to measure Business Health and quickly identify the root cause when metrics moves.
- Conduct business modeling to identify growth opportunities and initiate projects with a positive long-term ROI.
- Design and conduct A/B tests to evaluate algorithm performance and proposing iterative improvements based on the results.
- Effectively communicate findings, insights, and recommendations to both technical and non-technical stakeholders, enabling informed decision-making.
Qualifications
Required Qualifications:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 3+ years people-management 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:
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Master’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR Bachelor’s Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
- OR equivalent experience.
- 5+ years experience in data science modeling, statistics, analytics, business intelligence, or data-driven business strategy.
- 3+ years people-management experience.
Previous product analytics, web analytics and or content analytics experience. - Interpersonal communication and ability to leverage the data to tell a story.
- Demonstrated stakeholder management ability including effective prioritization, clear and concise communication, and delivery of actionable data-driven insights.
- Knowledge on big data processing from raw events to metrics and insights (PySpark/Scala).
- Knowledge of Content ecosystem, Ads and online shopping metrics.
#MicrosoftAI
Data Science 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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