copilot p0ps jobs in Microsoft

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Build secure and performant AI Platform services that power Copilot. Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers to build next generation AI products and services. Ship high-quality, well-tested, secure, and maintainable code. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values. Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang OR equivalent experience. Experience leveraging generative AI technologies to develop innovative and user-focused product features. 4+ years' experience building APIs and creating pipelines for large-scale products 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc. Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837009674", "isPrivate": false}, {"id": 1970324837005425, "name": "Member of Technical Staff, AI Platform Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 1, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762368319, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate\u202findividuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad \u2014 to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It\u2019s also inclusive: we aim to make AI accessible to all \u2014 consumers, businesses, developers \u2014 so that everyone can realize its benefits.\u00a0 At Microsoft AI, AI is part of everything we do. Our AI Product Acceleration team is dedicated to enabling rapid development and deployment of AI across our products. We collaborate closely with the top AI engineers in the world, working at the bleeding edge of engineering and AI research.\u00a0 If you are passionate about AI, eager to work at the forefront of technology, and want to be part of a team that empowers all other teams at Microsoft Copilot to build AI products quickly and seamlessly - join us as an AI Platform Engineer!\u00a0\u00a0 By applying to this U.S. Mountain View CA position, you are required to be local to the Mountain View CA area and in office 3 days a week. Microsoft\u2019s 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 As an AI Platform Engineer, you will play a crucial role in building and releasing production software at the platform level. You will work on APIs, data flows, systems, and services that form the backbone of our AI products. Your expertise will help us create robust and scalable platforms that drive innovation and efficiency.\u00a0 Design, develop, and maintain platform-level software solutions.\u00a0 Collaborate with cross-functional teams to integrate AI capabilities into various products.\u00a0 Ensure the reliability, scalability, and performance of platform components.\u00a0 Stay updated with the latest advancements in AI and engineering.\u00a0 Work alongside the technical staff and AI researchers to improve model development flows.\u00a0 Embody our  Culture  and  Values .\u00a0 Qualifications Required Qualifications Bachelor\u2019s degree in computer science, or related/equivalent technical discipline AND 4+ years technical engineering experience building and scaling web services, APIs, and products. OR equivalent experience. Deep experience with Python AND at least one of the following: Golang, Java/Scala, Typescript (React, Next.js) 4+ years' experience in building and releasing production software at the platform level. Strong knowledge of APIs, data flows, systems, and services. Preferred Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in\u202flanguages including, but not limited to: Python, Golang, Java/Scala, Rust\u00a0 6+ years' experience in building and releasing production software at the platform level.\u00a0 Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js)\u00a0 Experience in model pretraining, post-training, evaluation, and inference\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and\u202fscaling language learning models, either personally or professionally.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Experience going from zero-to-one as well as working with developed systems. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to\u202fchanging requirements and deadlines. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "isPrivate": false}, {"id": 1970324837146530, "name": "Principal Product Designer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762265721, "t_create": 1762212349, "ats_job_id": 1970324837146530, "display_job_id": 1970324837146530, "type": "ATS", "id_locale": "1970324837146530-en", "job_description": "Overview At Microsoft AI, we are inventing an AI Companion for everyone \u2013 an AI designed with real personality and emotional intelligence that\u2019s always in your corner. Defined by effortless communication, extraordinary capabilities, and a new level of connection and support, we want Copilot to define the next wave of technology. This is a rare opportunity to be a part of a team crafting something that challenges everything we know about software and consumer products. We\u2019re a small, friendly, fast-moving team, supporting one another to do the best work of our lives, always looking to break new ground with an unshakeable dedication to the user. We are proud of what we build, how we build it, and that our products define the AI era while earning the trust of our users. We run lean, prioritize quality, meaningful innovation and polish, and always root our decisions in research and evidence. We ship regularly, so your work will have real and immediate impact. Our Core Values: Quality. We only deliver category-defining products that delight with their ease of use, guaranteed reliability, and beautiful, coherent design. Simplicity. We don\u2019t overcomplicate. Less is more, always. Safety &amp; Security. The highest standards of security, safety and responsibility are non-negotiable across all our business areas. Evaluation. We pay close attention to signals and aren\u2019t afraid to change course when data and our experience tells us to. We are also careful with our metrics, focusing on delivering long-term sustainable value (rather than short-term KPIs). Kindness. Kindness is at the heart of our org and how we conduct ourselves. We care for, and support and respect one another, beginning again and learning every day. We\u2019re on the lookout for a talented and passionate Principal Product Design Lead to help build the next wave of capabilities of our personal AI companion, Copilot. We're looking for someone who has experience and passion for driving the end-to-end process of setting design vision and execution for innovative zero-to-one consumer products. We\u2019re 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. This is a player/coach role. In addition to setting vision and direction, the ideal candidate is a maker who can craft high quality design work at a fast pace within our design principles. Our Design Principles: Create Magical Moments Guide the Journey Personality is Pivotal Always be Earning Trust Sweat the Details Be in Service to People \u00b7 By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 4 days a week. Microsoft\u2019s 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 Ship world-class AI applications that delight consumers with an emphasis on craft, quality, trust, and positive user and societal impact 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. Cross-functional communication and dependency management, scoping and scheduling, and seeing through implementation by collaborating with engineering through the finish line. Find your own path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Set the bar for excellence and quality and hold the team accountable to that standard Enjoy working in a fast-paced, design-driven, product development cycle. Translate business goals into strategy, user experience and technical requirements in close collaboration with UX designers and AI model training teams. Define goals and performance indicators, set up and oversee experiments, measure success with data and research. Collaborate effectively and communicate clearly with cross-functional teams, including product managers, designers, and other engineers, to build exceptional consumer-grade applications. Qualifications Required Qualifications Bachelor's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design OR Master's Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems). Preferred Qualifications A portfolio or work samples that demonstrate at least 5 years of experience designing world class consumer products from vision through launch. Proven track record of setting design vision for innovative products that require bold thinking and risk taking. Ability to break large bodies of work into a phased execution plan, and lead a cross-functional team from idea to polished implementation. Demonstrate high craft in design work; must value craft and translate vision into well-polished design prototypes. Experience that demonstrates proven ability to advocate for design thinking, effectively influence design outcomes, discover problems and tackle them in fast-paced and ambiguous environments. Experience with diving into research and leveraging both qualitative and quantitative signals for design impact. Experience prompting LLMs, working with generative AI, or an intense desire to learn. Ability to own your work in a fast-paced. start-up like environment, manage multiple priorities, and adapt to ever-changing requirements and deadlines. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Optional, but lovely: Prototype-level engineering experience like JavaScript or Python. Product Design 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. Microsoft will accept applications for the role on an ongoing basis. 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\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837146530", "isPrivate": false}, {"id": 1970324837141112, "name": "Principal Product Manager- Agentic Experiences, Microsoft AI", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762293844, "t_create": 1761931882, "ats_job_id": 1970324837141112, "display_job_id": 1970324837141112, "type": "ATS", "id_locale": "1970324837141112-en", "job_description": "Overview Lead the vision and execution for next-generation agentic AI products\u2014designing generative experiences that go far beyond chatbots and simple agents. As a Principal Product Manager (PM) for the Agentic AI team, you\u2019ll architect solutions that reason, plan, and act across applications, the web, and the OS, empowering users to accomplish complex tasks with intelligence and reliability.\u00a0 You\u2019ll join a high-impact team dedicated to translating breakthrough model research into transformative products for Copilot, Bing, Edge, M365, and Azure. The Agentic Experiences team thrives on rapid innovation, cross-functional collaboration, and a culture that values curiosity, autonomy, and bold problem-solving. We seek PMs who have shipped 0-to-1 agentic products at leading AI startups or labs, driven growth or mindshare in the AI space, and excel in fast-paced, ambiguous environments.\u00a0 If you\u2019re energized by building the future of generative AI experiences and want to shape how intelligent agents empower millions, we want to hear from you.\u00a0 Microsoft\u2019s 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 Identify user workflows where AI adds clear value, basing decisions on data and user feedback.\u00a0 Turn model capabilities into specific product features, define MVPs, and refine them using user and business metrics.\u00a0 Work directly with research, engineering, and design to turn AI research into practical products that scale and serve users well.\u00a0 Create and use evaluation methods to track product quality, user experience, and safety throughout development.\u00a0 Set up data processes for sourcing, labeling, and using data to boost model and product performance.\u00a0 Work with infrastructure and platform teams to balance capability, speed, cost, and reliability for scalable products.\u00a0 Write clear documents to keep stakeholders aligned on product goals, priorities, and decisions.\u00a0 Promote adoption by showing how technical features translate into user benefits and growth.\u00a0 Make informed decisions in uncertain situations, manage risks and incidents, and support continuous improvement through postmortem reviews.\u00a0 Qualifications Required Qualifications Bachelor's Degree AND 8+ years\u2019 experience in product/service/program management or software development OR equivalent experience.\u00a0\u00a0 5+ years of experience launching 0-to-1 products (from concept to market) in a consumer-facing product environment.\u00a0 3+ years of experience building products that leverage AI/ML technologies.\u00a0 Experience managing and shipping 0-to-1 agentic products in an AI lab or an AI-focused startup.\u00a0 Preferred Qualifications Proven track record of collaborating with cross-functional teams (engineering, design, research) to deliver user-facing features.\u00a0 Familiarity with experimentation tools, data analytics, and working knowledge of SQL or coding (Python, JavaScript).\u00a0 Exceptional collaboration and communication skills with a bias for action and inclusion.\u00a0 Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There 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. Product Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.\u00a0There 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 . Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837141112", "isPrivate": false}, {"id": 1970324837141104, "name": "Language Engineer, Copilot AI", "location": "Mountain View, CA, USA", "locations": ["Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762293802, "t_create": 1761927355, "ats_job_id": 1970324837141104, "display_job_id": 1970324837141104, "type": "ATS", "id_locale": "1970324837141104-en", "job_description": "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\u2019s a time of huge change in the AI landscape, and this role will put you right in the heart of it.  We\u2019re on the lookout for a detail-oriented  Language Engineer  to help build the next wave of capabilities of our personal AI, Copilot. Language is an increasingly important modality for how we interact with computers. As a Language Engineer on the Copilot team, you will be responsible for how Copilot wields language. You will collaboratively work with data scientists, AI researchers, engineers, designers, and product managers to discover issues, define policy, evaluate language, collect data and ultimately improve the Large Language Models that power Copilot. We\u2019re 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.\u00a0 Microsoft\u2019s 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 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 &amp; 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.\u00a0 Qualifications Required Qualifications Bachelor\u2019s 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.  Preferred Qualifications 2+ years of experience shipping consumer-facing products. You\u2019ve 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\u2019re able to navigate and contribute to code repositories to implement context engineering improvements and write LLM scorers and classifiers to evaluate model response quality.\u00a0 Product Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0 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. 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. \u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837141104", "isPrivate": false}, {"id": 1970324837141102, "name": "Principal Product Manager,\u00a0Foundational\u00a0AI\u00a0Research\u00a0", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "New York, NY, USA", "San Francisco, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762293764, "t_create": 1761926813, "ats_job_id": 1970324837141102, "display_job_id": 1970324837141102, "type": "ATS", "id_locale": "1970324837141102-en", "job_description": "Overview\u00a0 At Microsoft AI, we are on a mission to train the world\u2019s most capable AI frontier models, pushing the boundaries of scale, performance, and product deployment. We\u2019re tackling some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world and use it to solve real world problems.\u00a0 Our team is led by Mustafa Suleyman, CEO of Microsoft AI. Our research team includes some of the brightest minds in the field, responsible for developing many of today\u2019s most influential LLM models.\u00a0Notably, MAI has launched MAI-1 models, including MAI-1-image debuting in top 10 in LMarena.\u00a0 As a Principal Product Manager, Foundational Research, you will be advancing the next generation of LLM models working on either (1) pre-training and post-training data and evaluations, (2) training infrastructure, or (3) API and Platform. You will be responsible for working backward from customer needs to prioritize new research, build evals and datasets, and work closely with AI researchers to build and execute project plans.\u00a0 In particular, we are looking for candidates who:\u00a0 Have built data collection or evaluation pipelines for pre-training or post-training AI models\u00a0 Have experience in working side-by-side with ML researchers or ML infrastructure teams to build large scale ML / AI models\u00a0 Take the initiative and enjoys finding paths through complexity in a fast-paced environment, innovative environment\u00a0 Are passionate about managing high stakes time-sensitive large-scale goals, and drive to relentlessly unblock progress\u00a0 Demonstrate a proactive attitude and enthusiasm for exploring new methods and are familiar with research and technical advancement in their area\u00a0 Have worked backwards from customer needs to deliver robust, scalable solutions that empower developers and enterprise customers. Microsoft\u2019s 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 Identify and prioritize language / coding / multimodal issues and work with researchers to find a path to resolution.\u00a0 Create novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning.\u00a0 Create model prototypes to prove out new feature directions and scope projects.\u00a0 Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback\u00a0 Foster a culture of collaboration, continuous improvement, and growth.\u00a0 Advance the AI frontier responsibly\u00a0\u00a0 Qualifications Required Qualifications Bachelor's Degree AND 8+ years experience in product/service/program management or software development OR equivalent experience.\u00a0 2+ years direct, hands-on collaboration with model researchers and ML engineers in areas such as training runs, data evaluation, infrastructure, coding, or safety. Experience building and shipping data pipelines or evaluation systems personally.\u00a0 Preferred Qualifications A technical postgraduate degree is strongly preferred; a PhD is ideal but not mandatory.\u00a0 Demonstrated ability to bring enterprise or developer products to market by deeply engaging with end customers.\u00a0 Product Management IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There 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. Product Management IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year.\u00a0There 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. Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837141102", "isPrivate": false}, {"id": 1970324837140717, "name": "Senior Product Manager, Measurement & Experimentation, Copilot", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762293726, "t_create": 1761684420, "ats_job_id": 1970324837140717, "display_job_id": 1970324837140717, "type": "ATS", "id_locale": "1970324837140717-en", "job_description": "Overview We\u2019re hiring a  Senior Product Manager (PM)  to lead the development of scalable  measurement systems  and  experimentation frameworks  for Copilot. This role is part of the Copilot product team, which enables rigorous, data-informed product development across the organization. You\u2019ll be responsible for building the infrastructure and processes that help product teams define success, measure impact, and learn quickly. Your work will directly influence how Copilot features are planned, evaluated, and iterated\u2014accelerating product velocity and improving user outcomes. Copilot is evolving rapidly, and our ability to measure what matters is key to staying ahead. This PM role will help teams focus on outcomes, learn faster, and deliver more impactful products\u2014making it a  force multiplier  for growth and innovation. About the Team:  This team of Product Managers exists to accelerate organizational growth and impact by enabling self-serve, structured, and actionable data insights. We partner with data science, engineering, and product leadership to elevate measurement maturity across Copilot. Microsoft\u2019s 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 Experimentation &amp; User Measurement Own the experimentation platform Design and scale learning tests, guardrails, and holdout frameworks. Partner with DS and other Copilot PMs to improve experimentation culture and rigor. Feature &amp; Model Measurement Define and standardize success metrics for Copilot features. Build and maintain feature-level dashboards and metric packs. Develop insight templates to help PMs interpret data and drive decisions. Partner with embedded DS and product teams to ensure measurement rigor and alignment with product goals. Feedback flywheel Operationalize feedback loops that help teams learn from shipped features. Build systems to track feature health, adoption, and success over time. Enable retrospective analysis to identify what worked and what didn\u2019t. Qualifications Required Qualifications Bachelor's Degree AND 5+ years experience in product management OR equivalent experience. 3+ years product management experience in data, platform, or measurement domains. Preferred Qualifications Experience defining and tracking product success, enabling data-informed product development. Experience working with data science and data engineering teams. Thrive in ambiguous environments and enjoy building systems from scratch. Communicate clearly and influence cross-functional partners. 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\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140717", "isPrivate": false}, {"id": 1970324837140210, "name": "Member of Technical Staff, Client Engineer - Windows Copilot", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762204612, "t_create": 1761247930, "ats_job_id": 1970324837140210, "display_job_id": 1970324837140210, "type": "ATS", "id_locale": "1970324837140210-en", "job_description": "Overview Microsoft AI (MAI) is seeking experienced client engineers to help build the next wave of capabilities for Copilot. We\u2019re looking for  someone  who possesses technical prowess, a methodical approach to problem-solving and proficiency in client technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.\u00a0\u00a0\u00a0 Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team\u00a0is responsible for\u00a0Copilot, Bing, Edge, and generative AI research.\u00a0Come be\u00a0a part of the team shaping the future personal computing.\u00a0 Microsoft\u2019s 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.\u00a0 By applying to this U.S. Redmond, WA position, you are required to be local to the Seattle area in office 3 days a week. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML\u00a0 OR equivalent experience.\u00a0 Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment\u00a0 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience.\u00a0\u00a0 Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc.\u00a0 Experience working with AI platforms, frameworks, and APIs.\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.\u00a0 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.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines, while collaborating and contributing to a positive, inclusive work environment that fosters knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140210", "isPrivate": false}, {"id": 1970324837140026, "name": "Member of Technical Staff- Machine Learning Operations Engineer", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762386713, "t_create": 1761076380, "ats_job_id": 1970324837140026, "display_job_id": 1970324837140026, "type": "ATS", "id_locale": "1970324837140026-en", "job_description": "Overview: At Microsoft Copilot, we focus on building the best AI powered products in the world. We're building applied AI products designed to improve over time and we need someone to architect and build the infrastructure that makes that possible. As an  Machine Learning Operations (MLOps) Engineer , you'll build the connective tissue between our models and the real world. You're not just deploying models - you're building the systems that accelerates model improvement and drives continuous learning from production. This is a high-impact, high-autonomy role where your infrastructure decisions directly shape product quality and our ability to iterate. If you've ever felt frustrated by the gap between ML's potential and its messy reality in production, this is your chance to close it. The next wave of AI products won't win on model architecture alone\u2014they'll win with robust infrastructure for continuous improvement. You'll build the infrastructure that makes our AI products genuinely intelligent, not just generative. Every system you create shortens the loop between user feedback and model improvement, directly impacting product quality and user experience. Microsoft\u2019s 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 / What you'll build: Training pipelines that scale elegantly - Design and implement robust training infrastructure that handles everything from data ingestion to model versioning, making it trivial for ML engineers to experiment and deploy with confidence The data flywheel - Build the infrastructure and product features that capture user interactions, ground truth labels, and edge cases, then automatically route them back into training loops. Turn every production interaction into a training example Inference systems that deliver - Dive deep into model serving architecture\u2014optimize latency, manage costs, implement intelligent caching, and build the observability needed to maintain reliability at scale Deployment pipelines with guardrails - Create deployment systems that balance velocity with safety: automated testing, gradual rollouts, performance monitoring, and quick rollback mechanisms Cross-functional infrastructure - Partner closely with ML engineers, platform engineers, and data scientists to build APIs and tools that enable tight, rapid feedback loops from production back to model development Required Qualifications:  Doctorate in Computer Science, Statistics, Software Engineering, or related field AND 3+ year(s) applied ML engineering experience OR Master's Degree in Computer Science, Statistics, Software Engineering, or related field AND 4+ years applied ML engineering experience OR Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 6+ years applied ML experience, OR equivalent experience. 6+ years experience building and operating ML systems in production, with real stories about what breaks at scale and how you fixed it 5+ years of experience of software engineering fundamentals with experience in distributed systems, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP/Azure) 5+ years of hands-on experience with ML orchestration tools (Airflow, Kubeflow, Metaflow), experiment tracking, model registries, and feature stores 5+ years of experience optimizing model inference, wrestled with GPU utilization, and know the tradeoffs between latency, throughput, and cost Preferred Qualifications: Doctorate in Computer Science, Data Engineering, Software Engineering, or related field AND 6+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks) OR Master's Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 8+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks) OR Bachelor's Degree in Computer Science, Data Engineering, Software Engineering, or related field AND 10+ years data engineering experience (e.g., building ETL pipelines, managing distributed data systems, implementing data quality frameworks) OR equivalent experience. Familiarity with LLM deployment patterns, vector databases, prompt management, and the unique challenges of serving foundation models Experience working with RAG, fine-tuning pipelines, or evaluation frameworks The ability to see beyond individual components to design holistic systems where data flows naturally from production through improvement cycles and back Desire and preference to work at the intersection of teams, translating between ML researchers who want flexibility and engineers who need reliability Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.\u00a0There 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. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year.\u00a0There 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\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837140026", "isPrivate": false}, {"id": 1970324837139999, "name": "Executive Assistant, Microsoft AI", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761192322, "t_create": 1761067952, "ats_job_id": 1970324837139999, "display_job_id": 1970324837139999, "type": "ATS", "id_locale": "1970324837139999-en", "job_description": "Overview Microsoft AI is shaping the future of artificial intelligence\u2014and we're looking for an  Executive Assistant  who thrives in a fast-paced, high-impact environment to join the team! In this role, you\u2019ll support  three Vice Presidents , acting as a strategic partner to keep priorities on track and operations running smoothly. You\u2019ll manage complex calendars, drive business rhythms, and create seamless experiences for leaders and teams. This is more than an admin role\u2014it\u2019s about enabling impact at scale. You\u2019ll collaborate across Microsoft and with external partners, anticipate needs before they arise, and bring structure to ambiguity. If you\u2019re resourceful, proactive, and energized by working at the center of innovation, this is your opportunity to make a difference. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Strategic Calendar &amp; Time Management  \u2013 Orchestrate complex schedules for multiple executives, ensuring alignment with business priorities. Event &amp; Meeting Coordination  \u2013 Plan and execute leadership meetings, offsites, and team events with precision and creativity. Travel Management  \u2013 Coordinate domestic and international travel, creating detailed itineraries to maximize productivity. Communication &amp; Collaboration  \u2013 Serve as a trusted liaison across teams, ensuring timely flow of information and fostering strong connections. Rhythm of Business (ROB)  \u2013 Support annual and quarterly planning cycles, helping leaders stay focused on strategic goals. Business Operations Support  \u2013 Partner on headcount planning, onboarding, and team logistics; maintain budget and expense compliance. Space &amp; Resource Planning  \u2013 Manage office space assignments and resources to support team growth and efficiency. Qualifications Required: 7+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administration work for executive/upper-level management. 3+ years of experience working in AI labs or similar fast-paced high-tech environments. Willingness to work extended hours during critical business periods to ensure timely delivery of key outcomes. Preferred: Bachelor's Degree in relevant field (e.g., Business Administration, Human Resources [HR], Marketing, Communications, Psychology, Sociology) OR equivalent experience. Experience partnering with other Executive Assistants and Chiefs of Staff. Familiarity with headcount planning, budget tracking, and event management. Ability to influence without authority and build deep cross-functional relationships. Business Support ATR-E - The typical base pay range for this role across the U.S. is USD $32.84 - $66.30 per hour. 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