Microsoft Careers Stage

Senior Business Planner

2025-12-20

United States, Washington, Redmond +3 more

3 days / week in-office

Overview Join Microsoft’s Monetization and Business Planning (M+BP) team, the center of excellence for monetization strategy, pricing, and packaging across the multi-billion-dollar Microsoft Cloud portfolio. This team drives strategic thought leadership and business model innovation to accelerate growth. As part of the Modern Work Business Planning group, you will shape monetization for the Microsoft 365 suite—including productivity apps like Word, Excel, PowerPoint, and Microsoft 365 Copilot. This role offers a unique opportunity to define licensing strategies for AI-first productivity solutions and build the foundation for an AI-powered digital workforce. We’re looking for a strategic thinker with strong business acumen, cross-functional collaboration skills, and exceptional communication abilities. You will influence decisions that impact global revenue, drive innovation in business models, and help unlock new market opportunities in one of Microsoft’s most critical growth areas. 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 <ul style="list-style-type: disc;"><li>Define Licensing Models for Microsoft 365 and AI-first productivity solutions like Copilot.</li><li>Develop Pricing & Packaging Strategies to drive monetization and revenue growth.</li><li>Lead Business Model Innovation for Modern Work and AI productivity segments.</li><li>Collaborate Across Teams (engineering, marketing, finance) to execute strategies.</li><li>Analyze Market Trends & Customer Needs to inform licensing decisions.</li><li>Ensure Operational Excellence through scalable licensing processes and compliance.</li><li>Communicate Effectively with senior leadership through clear presentations and insights.</li><li>Promote Inclusive Culture and act as a trusted advisor fostering growth and innovation.</li><li>Embody our <a href="https://www.microsoft.com/en-us/about/corporate-values" target="_blank" rel="noopener">Culture </a>and <a href="https://careers.microsoft.com/us/en/culture" target="_blank" rel="noopener">Values</a></li></ul> Qualifications Required/minimum qualifications<ul style="list-style-type: disc;"><li>5+ years product management, strategy consulting, finance, law, marketing, business/corporate development, or related experience<ul style="list-style-type: disc;"><li>OR equivalent experience.</li></ul></li><li>5+ years of relevant work experience in writing licensing, policy, contract and/or legal terms<ul style="list-style-type: disc;"><li>OR 5+ years of sales and negotiation experience</li><li>OR equivalent experience.</li></ul></li><li>1+ years of experience utilizing A.I. (artificial intelligence) to automate workflows.</li></ul>Additional or preferred qualifications<ul style="list-style-type: disc;"><li>8+ years product management, strategy consulting, finance, law, marketing, business/corporate development, or related experience AND Bachelor's Degree in Engineering/Computer Science, Economics, Business, or related field.<ul style="list-style-type: disc;"><li>OR 6+ years product management, strategy consulting, finance, business/corporate development, or related experience AND Master's Degree in Business Administration (MBA), or related field.</li></ul></li></ul> Business Planning IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: <a href='https://careers.microsoft.com/us/en/us-corporate-pay'>https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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Member of Technical Staff, Data Scientist

2025-12-19

United States, Washington, Redmond +3 more

4 days / week in-office

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 (MS AI) is seeking an experienced Data Scientist to help build the next wave of capabilities of our personal AI, Copilot. We’re looking for someone who thinks deeply about measurement and human-AI interactions- in this role you help us describe and measure how people use Microsoft Copilot. We seek a versatile data scientist who can architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The Data Science team is responsible for driving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling. 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 <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Develop metrics for Copilot usage and quality. </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Drive product insights, opportunity analysis, and track metrics to support Microsoft Copilot.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Enable A|B experimentation for new features.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Articulate insights, storyboard with data and communication to influence leadership and other key decision makers.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.   </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Enjoy working in a fast-paced, design-driven, product development cycle.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Embody our <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fabout%2Fcorporate-values&data=05%7C02%7Cv-adonahou%40microsoft.com%7C2660444594e548b3e9d308dd6d6ae3cd%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638787028052955692%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=EWvNH2fIghw%2BldOuLQIBheM4WolrqVZe4wrYfjHPEpg%3D&reserved=0" target="_blank" rel="noopener">Culture</a><a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoft.com%2Fen-us%2Fabout%2Fcorporate-values&data=05%7C02%7Cv-adonahou%40microsoft.com%7C2660444594e548b3e9d308dd6d6ae3cd%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638787028052973548%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=KdwSlZaIlG8dvr%2B2y%2B%2FD%2FsyxVtaccDTU2dBw4aZBogI%3D&reserved=0" target="_blank" rel="noopener"> </a>and <a href="https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcareers.microsoft.com%2Fus%2Fen%2Fculture&data=05%7C02%7Cv-adonahou%40microsoft.com%7C2660444594e548b3e9d308dd6d6ae3cd%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638787028052982253%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=lS4u7JYujehZQmKWk6KpP98eEuOUhutsrP0JGikrSUc%3D&reserved=0" target="_blank" rel="noopener">Values</a>.   </li></ul> Qualifications Required Qualifications:Doctorate 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)<ul style="margin-bottom: 0in; margin-top: 0px;"><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR Bachelor's Degree 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)</li><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR equivalent experience.</li><li style="margin: 0in 0in 8pt 0px; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;"> </li></ul>Preferred Qualifications: <ul style="margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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)</li><ul style="margin-top: 0in; margin-bottom: 0in;" type="circle"><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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)</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">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)</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">OR equivalent experience.</li></ul><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with prompt engineering and using LLMs.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience building data pipelines to support analytics and experiment scenarios</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience working on product analytics to drive product improvements</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge. </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Proficiency in using one or more programming or scripting language like Python, R, C# to work with data required.</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.  </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders</li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Keen interest in learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.  </li><li style="margin-top: 0in; margin-right: 0in; margin-bottom: 8pt; line-height: 115%; font-size: 12pt; font-family: Aptos, sans-serif;">Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.</li></ul> Data Science 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: <a href='https://careers.microsoft.com/us/en/us-corporate-pay'>https://careers.microsoft.com/us/en/us-corporate-pay</a> 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: <a href='https://careers.microsoft.com/us/en/us-corporate-pay'>https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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Principal AI Security and Safety Researcher

2025-12-19

United States, Washington, Redmond

0 days / week in-office – remote

Overview Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all. We want to reshape security and empower every user, customer, and developer with a security cloud that protects them with end to end, simplified solutions. The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world.Are you a red teamer who is looking to break into the AI field? Do you want to find AI failures in Microsoft’s largest AI systems impacting millions of users? Join Microsoft’s AI Red Team where you'll emulate work alongside security and AI hacking experts to proactively test for failures in Microsoft’s big AI systems. We are looking for a Principal AI Security and Safety Researcher who can be a red teamer dedicated to making AI security better and helping our customers expand with our AI systems. In AI red teaming, you'll apply the newest AI security, frontier harms, and safety research to emulate adversarial hacking on Microsoft’s Ai models, systems, products, and features, advising product teams on how to mitigate risks before technology reaches our customers. This role will also serve as our technical lead in AI frontier harms, such as autonomy, and loss of control of AI systems, uplift in chemistry or biology. Not only will you set cross-harm strategy and advise on implementation of Frontier Mondel Forum and industry best practices within the team, you’ll serve as a coach to the operators leading the individual harm strategies in each area on day-to-day red teaming. In addition to frontier experience, we want AI-obsessed hacker-mindsets to come join our team with leadership and comfort with ambiguity. The Team & Work: Our team is an interdisciplinary group of red teamers, adversarial Machine Learning (ML) researchers, Safety & Responsible AI experts, AI researchers, and software developers with the mission of proactively finding failures across all of Microsoft’s AI portfolio. In this role, you will red team AI models, such as our Phi series and MAI models, and applications, including Bing Copilot, Security Copilot, Github Copilot, Office Copilot and Windows Copilot.This work is sprint based, working with AI Safety, Security, and Product Development teams, to run operations that aim to find safety and security risks before they happen. Our reporting and findings directly inform internal key business decision leadership. This role will also focus on our team’s approach to frontier AI model harms, requiring parallel tracking between Ai red teaming operations and driving strategy and informing industry-level discussions on autonomy, CBRN, harmful manipulation, cyber, and more novel harms. This a fast-moving team with multiple roles and responsibilities within the AI Security and Safety space; people who love to provide agile, practical insights and who enjoy jumping in to solve ambiguous problems excel in this role. More about our approach to AI Red Teaming: <a href="https://www.microsoft.com/en-us/security/blog/2023/08/07/microsoft-ai-red-team-building-future-of-safer-ai/">https://www.microsoft.com/en-us/security/blog/2023/08/07/microsoft-ai-red-team-building-future-of-safer-ai/</a> 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 Responsibilities:<ul><li>Lead cross-domain frontier harms strategy, represent as industry frontier forums, and coach individual operator leads on specific harm areas.</li><li>Discover and exploit GenAI vulnerabilities end-to-end in order to assess the safety of systems.</li><li>Manage product group stakeholders as priority recipients and collaborators for operational sprints.</li><li>Drive clarity on communication and reporting for red teaming peers when working with product groups.</li><li>Work alongside traditional offensive security engineers, adversarial ML experts, developers to land responsible AI operations while creating a culture of positive, inclusive problem solving.</li></ul> Qualifications Minimum Qualifications:<ul type="disc"><li>Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 3+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><ul type="circle"><li>OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 4+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><li>OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 6+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><li>OR equivalent experience.</li></ul></ul>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:<ul type="disc"><li>This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul> Preferred Qualifications:<ul type="disc"><li>Doctorate in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 5+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><ul type="circle"><li>OR Master's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 8+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><li>OR Bachelor's Degree in Statistics, Mathematics, Computer Science, Computer Security, or related field AND 12+ years experience in software development lifecycle, large-scale computing, threat analysis or modeling, cybersecurity, vulnerability research, and/or anomaly detection.</li><li>OR equivalent experience.</li></ul><li>Related Fields include: AI Security, AI Safety, Biology AND an applied background, Chemistry AND an applied background, Cybersecurity, Nuclear Physics, Machine Learning, and more.</li></ul>#MSFTSecurity #MSECAI #AI #RAI #Safety #Security #MSECAI #AEGIS #AIRedTeam Security Research 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: <a href='https://careers.microsoft.com/us/en/us-corporate-pay'>https://careers.microsoft.com/us/en/us-corporate-pay</a> This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. <hr> 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 <a href="https://careers.microsoft.com/v2/global/en/accessibility.html">requesting accommodations.</a>

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