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": 1757442843, "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. \ufeff 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": 1970324837083440, "name": "Technical Program Manager - Copilot, 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": 1757704689, "t_create": 1757359162, "ats_job_id": 1970324837083440, "display_job_id": 1970324837083440, "type": "ATS", "id_locale": "1970324837083440-en", "job_description": "Overview As Microsoft continues to push the boundaries of AI, we are on a mission to build systems with true artificial intelligence across agents, applications, services, and infrastructure. Our vision is bold and inclusive: to make AI accessible to all, so that everyone can realize its benefits.\u00a0 The Copilot Product Infrastructure team is at the heart of this transformation. We build and scale the cloud infrastructure that powers Copilot, Microsoft\u2019s most ambitious AI-native product experience. From traffic engineering and scalable compute to experimentation platforms and release systems, we design the infrastructure that enables thousands of engineers to ship AI-powered features with speed, safety, and precision.\u00a0 We\u2019re tackling some of the most complex challenges in cloud infrastructure at scale, and we\u2019re doing it with an AI-native approach from the ground up. Our systems are purpose-built to support frontier model integration, rapid experimentation, and global deployment across Microsoft\u2019s consumer products.\u00a0 We collaborate closely with engineering, product management, and AI research teams to empower every Copilot team to bring cutting-edge AI research to production. Our work directly shapes how AI reaches millions of users, and we\u2019re growing fast.\u00a0 We\u2019re looking for highly motivated and detail-oriented Technical Program Managers who are passionate about AI and deeply proficient in scaling backend technologies. In particular, we\u2019re looking for individuals who:\u00a0 Have deep experience with cloud infrastructure, including Kubernetes, CI/CD, traffic routing, and experimentation platforms.\u00a0 Thrive in environments where they partner closely with engineers, SREs, and product teams to deliver scalable, reliable systems.\u00a0 Take initiative and enjoy navigating ambiguity in a fast-paced, high-growth environment.\u00a0 Are comfortable owning programs that span offices, teams, and time zones, coordinating across workstreams and relentlessly unblocking progress.\u00a0 Demonstrate a proactive attitude and enthusiasm for improving developer velocity, system resilience, and operational clarity.\u00a0 Are excited to build infrastructure that\u2019s designed from day one to support AI-native development, with the scale, agility, and reliability that frontier models demand.\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\u00a0 By applying to this\u202frole based in\u202fU.S. Mountain View, CA. You\u202fare required to\u202fbe local to the San Francisco area and be in office 4 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.\u00a0 Responsibilities Drive end-to-end execution of infrastructure programs that power Copilot, including planning, scoping, milestone tracking, and cross-team coordination.\u00a0 Partner closely with engineers, SREs, product managers, and AI researchers to deliver scalable, reliable systems for traffic routing, compute orchestration, experimentation, security and release.\u00a0 Own program status across multiple workstreams, proactively identifying risks, unblocking progress, and ensuring timely delivery.\u00a0 Translate complex technical initiatives into clear execution plans, aligning stakeholders across time zones and functions.\u00a0 Communicate program strategies, trade-offs, and results to executive leadership and partner teams, advocating for infrastructure priorities and long-term platform health.\u00a0 Champion an AI-native approach to infrastructure, ensuring systems are designed from the ground up to support frontier model integration and rapid experimentation.\u00a0 Qualifications Required/minimum qualifications Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development\u00a0\u00a0 OR equivalent experience.\u00a0 2+ years of experience managing cross-functional and/or cross-team projects.\u00a0 3+\u00a0years experience working on software development and/or cloud infrastructure projects (AWS/Azure/GCP)\u00a0 Additional or preferred qualifications Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.\u00a0 6+ years of experience managing cross-functional and/or cross-team projects.\u00a0 Technical Program 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.\u00a0 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.\u00a0 #MicrosoftAI #Copilot\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837083440", "isPrivate": false}, {"id": 1970324837030457, "name": "Chief of Staff \u2013 Copilot Engineering & Product\u00a0", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438122, "t_create": 1755109968, "ats_job_id": 1970324837030457, "display_job_id": 1970324837030457, "type": "ATS", "id_locale": "1970324837030457-en", "job_description": "Overview The Chief of Staff for Copilot Engineering and Product is a strategic partner to the leadership team, driving operational excellence, enabling effective decision-making, and fostering a high-performing, inclusive culture. This role is pivotal in aligning cross-functional initiatives, managing business rhythms, and ensuring seamless execution of strategic priorities across engineering and product domains.\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. By applying to this U.S.\u202fMountain View, CA\u202fposition, you are required to be local to the San Francisco area and in office 3 days a week. Responsibilities Partner closely with Copilot Engineering and Product leaders to drive strategic planning, execution, and alignment.\u00a0 Lead and manage business rhythms including leadership meetings, all-hands, and planning cycles.\u00a0 Drive cross-functional initiatives and ensure\u00a0timely\u00a0execution of key priorities.\u00a0 Serve as a trusted advisor and thought partner to leadership, enabling clarity and focus.\u00a0 Manage communications and change management across the organization.\u00a0 Support organizational health efforts, including culture, inclusion, and team effectiveness.\u00a0 Coordinate with finance,\u00a0Human Resources, and other support functions to ensure operational efficiency.\u00a0This includes\u00a0Position Control Number (PCN)\u00a0and\u00a0Headcount (HC)\u00a0management\u00a0\u00a0as well as\u00a0communication\u00a0to hiring managers.\u00a0 Lead special projects and initiatives that span engineering and product teams.\u00a0 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. Qualifications Required Qualifications Bachelor's Degree in relevant field (e.g., Liberal Arts, Business Administration, Management, Computer Science) AND 8+\u00a0years experience\u00a0in\u00a0financial management, business planning, operations management, strategy, project management, human resources, or business-related roles OR equivalent experience.\u00a0 Proven experience in Chief of Staff, program management, or strategic operations roles within technical or product organizations.\u00a0 Proven\u00a0understanding of engineering and product development processes.\u00a0 Exceptional communication, collaboration, and organizational skills.\u00a0 Ability to\u00a0operate\u00a0in a fast-paced, matrixed environment with multiple stakeholders.\u00a0 Demonstrated ability to lead cross-functional initiatives and drive alignment.\u00a0 Experience with strategic planning, business operations, and executive communications.\u00a0 Passion for technology, innovation, and building inclusive teams.\u00a0 Preferred Qualifications Master of Business Administration Degree in relevant field (e.g., Engineering) Proven experience with excel (spreadsheets)\u00a0 Business Management M6 - 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 Microsoft will accept applications for the role until September 30, 2026.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030457", "isPrivate": false}, {"id": 1970324837030422, "name": "MTS - Data Engineering  ", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438190, "t_create": 1755037625, "ats_job_id": 1970324837030422, "display_job_id": 1970324837030422, "type": "ATS", "id_locale": "1970324837030422-en", "job_description": "Overview If you've ever watched a massive data pipeline process billions of records without breaking a sweat, felt genuine satisfaction debugging a business critical schema migration, or gotten excited about shaving milliseconds off pipeline latency then you're in the right spot. We're looking for the best data engineers. Data engineers who have built and scaled data systems that others depend on, who take pride in delivering rock-solid data quality, and who genuinely enjoy the craft of data engineering. If you're the type of person who celebrates when your monitoring dashboards show all green and gets energized by the challenge of making data flow seamlessly across complex systems, this role is for you.\u00a0 Join us to architect and implement the data backbone that powers Copilot for millions of users worldwide. You'll own the full data lifecycle - from building lightning-fast ETL pipelines that handle massive scale to crafting experimentation frameworks that drive product decisions. We need someone who thrives on solving complex data challenges, loves collaborating with brilliant teammates, and gets genuinely excited about building infrastructure that just works. In our fast-paced environment, you'll have the freedom to innovate and the support to build world-class data products that make a real impact.\u00a0 By applying to this position, you are required to be local to the San Francisco area or Redmond area and in office 3 days a week.\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. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Build, maintain, and enhance data ETL pipelines for processing large-scale data with low latency and high throughput to support Copilot operations.\u00a0 Design and maintain high throughput, low latency experimentation reporting pipelines that enable data scientists and product teams to measure model performance and user engagement.\u00a0 Own data quality initiatives including monitoring, alerting, validation, and remediation processes to ensure data integrity across all downstream systems.\u00a0 Implement robust schema management solutions that enable quick and seamless schema evolution without disrupting downstream consumers.\u00a0 Develop and maintain data infrastructure that supports real-time and batch processing requirements for machine learning model training and inference.\u00a0 Collaborate with ML engineers and data scientists to optimize data access patterns and improve pipeline performance for model evaluation workflows.\u00a0 Design scalable data architectures that can handle growing data volumes and evolving business requirements.\u00a0 Implement comprehensive monitoring and observability solutions for data pipelines, including SLA tracking and automated alerting.\u00a0 Partner with cross-functional teams to understand data requirements and translate them into efficient technical solutions.\u00a0 Qualifications Required Qualifications Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling, or data engineering  OR equivalent experience. Experience building and maintaining production data pipelines at scale using technologies such as Apache Spark, Kafka, or similar distributed processing frameworks.\u00a0 Experience writing production-quality Python, Scala, or Java code for data processing applications.\u00a0 Experience building and scaling experimentation frameworks.\u00a0 Experience with cloud data platforms (Azure, AWS, or GCP) and their data services.\u00a0 Experience with schema management and data governance practices.\u00a0 Preferred Qualifications Experience with real-time data processing and streaming architectures.\u00a0 Experience with data orchestration frameworks such as Airflow, Prefect, Dagster or similar workflow management systems. Experience with containerization technologies (Docker, Kubernetes) for data pipeline deployment.\u00a0 Demonstrated experience with data quality frameworks and monitoring solutions.\u00a0 Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year. Data Engineering IC6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\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/1970324837030422", "isPrivate": false}, {"id": 1970324837030267, "name": "Director of Communications - Copilot", "location": "Mountain View, CA, USA", "locations": ["Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757521156, "t_create": 1754909639, "ats_job_id": 1970324837030267, "display_job_id": 1970324837030267, "type": "ATS", "id_locale": "1970324837030267-en", "job_description": "Overview We\u2019re\u00a0hiring a\u202f Director of Communications for Copilot \u00a0\u2013\u00a0a role that sits at the intersection of storytelling, strategy, and innovation.\u00a0\u00a0 You\u2019ll be joining a team that moves fast, thinks big, and builds boldly. We\u2019re crafting the future of AI, and how we communicate that future\u00a0\u2013\u00a0internally and externally\u00a0\u2013\u00a0is just as vital as the technology itself. If you\u2019re a strategic communicator who thrives in ambiguity, loves translating complexity into clarity, and wants to influence how leadership\u00a0inspires and aligns a global organization, this is your moment.\u00a0\u00a0 The ideal candidate brings a rare blend of executive comms expertise, product intuition (especially around AI and Copilot), and the ability to operate with urgency and precision.\u00a0You\u2019ll be the connective tissue between leadership intent and organizational understanding, crafting messaging that\u00a0drives\u00a0clarity\u00a0and culture through high-impact internal communications.\u00a0 By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and 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 Own and drive\u00a0the internal narrative and\u00a0executive communications \u00a0for the CVPs\u00a0of\u00a0Copilot Product and Engineering\u00a0including org-wide updates, vision memos, All Hands materials, and internal storytelling that builds trust, drives clarity, and energizes the organization.\u00a0 Partner closely with the broader Microsoft AI communications team \u00a0to craft and deliver compelling external narratives \u2013 ensuring message consistency while driving media engagement, industry influence, and public awareness of Copilot\u2019s product launches, innovations, and strategic vision.\u00a0 Bring familiarity and passion around AI product environments , leveraging your experience in fast-paced, product-driven organizations to shape messaging that resonates with technical teams and reflects a nuanced understanding of AI innovation, especially around Copilot.\u00a0 Shape\u00a0and increase awareness of the\u00a0executive voice , ensuring messaging is authentic, strategic, and scalable across internal and external channels.\u00a0 Manage design resources \u00a0to deliver polished, on-brand communications at speed.\u00a0 Track impact and perception , using feedback loops and metrics to refine messaging and influence narrative direction.\u00a0 Own the comms calendar and cadence \u00a0proactively manage content pipelines, key milestones, and event deliverables with precision and foresight.\u00a0 Qualifications Required Qualifications:\u202f Bachelor's Degree in Business, Marketing, Communications, Finance, or related field AND 6+ years Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience\u00a0\u00a0 5+ years of experience building formal internal communication plans\u00a0\u00a0\u00a0 4+\u00a0years of experience developing messaging for senior executives in environments undergoing organizational change\u00a0and/or product evolution.\u00a0 2+ years of experience in a product\u00a0developement\u00a0environment.\u00a0 Preferred Qualifications: Master's Degree in Business, Marketing, Communications, Finance, or related field AND 8+ years Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience\u00a0\u00a0 10+ years in Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience\u00a0\u00a0 Familiarity\u00a0and passion for\u00a0AI products\u2014especially Copilot or similar tools\u2014and the ability to translate technical concepts into compelling narratives.\u00a0 Demonstrated success operating in startup-like environments with shifting priorities, cross-functional collaboration, and high visibility.\u00a0 Experience\u00a0exercising\u00a0strategic judgment and scenario planning skills, including risk mitigation and stakeholder alignment.\u00a0\u00a0 High emotional intelligence and the ability to influence leaders, push back diplomatically, and coach executive voice.\u00a0 Passion for storytelling as a lever for cultural cohesion, leadership maturity, and organizational enablement.\u00a0 Communications IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year.\u00a0 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. #MicrosoftAI #Copilot\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837030267", "isPrivate": false}, {"id": 1970324837029856, "name": "Member of Technical Staff - Platform 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": 1757438470, "t_create": 1754518786, "ats_job_id": 1970324837029856, "display_job_id": 1970324837029856, "type": "ATS", "id_locale": "1970324837029856-en", "job_description": "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 \u2014\u202fto build systems that have true artificial intelligence\u202facross 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 Microsoft AI (MAI) is seeking experienced Platform Engineers to help build the next wave of capabilities of our personal AI, Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving, proficiency in backend technologies, and a mastery of templating to architect solutions that stand the test of time and who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Platform Engineering team is responsible for building APIs that support our work in finetuning and deploying the core experience of Copilot, while collaborating with our Product Management, Design and AI Research teams.\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.\u202fMountain View, CA\u202fposition, you are required to be local to the San Francisco area and in office 3 days a week. \ufeff Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Build secure and performant AI Platform services that power Copilot.\u00a0 Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Required Qualifications Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, Go, C#, C++, Rust, Java\u00a0 OR equivalent experience.\u00a0 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.\u00a0 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 Experience working with AI platforms, frameworks, and APIs.\u00a0 Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.\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.\u00a0 Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0 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 Microsoft will accept applications for the role on an ongoing basis.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029856", "isPrivate": false}, {"id": 1970324837029178, "name": "Director, Business & Strategy", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438577, "t_create": 1754000332, "ats_job_id": 1970324837029178, "display_job_id": 1970324837029178, "type": "ATS", "id_locale": "1970324837029178-en", "job_description": "Overview Microsoft AI\u2019s (MAI) mission is to use AI responsibly to make everyone more informed, capable, and supported. MAI is responsible for Microsoft\u2019s 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\u2019s AI ambitions. We are growing the Business &amp; Strategy team, part of the office of the CEO of MAI, to assist with the implementation of the overarching strategy of MAI. This role is ideal for someone who thrives in a fast-paced, high-impact environment and enjoys driving clarity and execution across complex initiatives. You will play a key role in operationalizing MAI\u2019s strategic priorities by managing special projects, supporting the execution of our mission, and helping senior leadership prioritize initiatives across the organization. You\u2019ll act as an interlocutor between product, engineering, and business teams - ensuring alignment, surfacing risks, and enabling decision-making through structured communication and coordination. 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 Drive execution of MAI\u2019s strategic priorities by managing special projects and cross-functional initiatives from inception to delivery. Support the definition, tracking, and reporting of missions and metrics across the organization, ensuring alignment with leadership goals and timely progress updates. Establish and manage operating rhythms such as QBRs, OKR cycles, and leadership cadences to ensure progress against MAI\u2019s strategic goals. Partner with senior leaders to assess and prioritize initiatives, helping allocate resources and attention to the most impactful workstreams. Act as a connective tissue across teams - facilitating communication, resolving blockers, and ensuring clarity of ownership and accountability. Synthesize findings into insights across projects and leverage those insights to develop recommendations and ideas around potential growth opportunities. Function as an advisor to MAI leadership on a particular area of expertise to inform strategic business decisions. Qualifications Required/minimum qualifications: Master's Degree in Business Administration or related field AND 4+ years investment banking and/or corporate finance experience OR Bachelor's Degree AND 6+ years investment banking and/or corporate finance experience OR equivalent experience. 6+ years' experience supporting senior leadership with actionable insights such as coordinating cross-functional processes and maintaining operational cadences. Additional or preferred qualifications: Master's Degree in Business Administration or related field AND 8+ years investment banking and/or corporate finance experience OR Bachelor's Degree in AND 12+ years investment banking and/or corporate finance experience OR equivalent experience. 8+ years' experience in Strategy, Management Consulting, and/or Finance. Business Strategy IC5 - The typical base pay range for this role across the U.S. is USD $130,900 - $251,900 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $165,600 - $272,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:  https://careers.microsoft.com/us/en/us-corporate-pay . Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI\u00a0", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837029178", "isPrivate": false}, {"id": 1970324837028970, "name": "Member of Technical Staff \u2013 Machine Learning, AI Safety  ", "location": "London, London, City of, United Kingdom", "locations": ["London, London, City of, United Kingdom"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757438728, "t_create": 1753870687, "ats_job_id": 1970324837028970, "display_job_id": 1970324837028970, "type": "ATS", "id_locale": "1970324837028970-en", "job_description": "Overview As a Member of Technical Staff \u2013 Machine Learning, AI Safety, you will\u00a0develop and implement\u00a0cutting-edge\u00a0safety methodologies and mitigations for\u00a0products that are served to millions of users through Copilot every day.\u00a0Users turn to Copilot for support in all types of endeavors, making it critical that we ensure our AI systems behave safely and align with organizational values.\u00a0You\u00a0may\u00a0be responsible for\u00a0developing new methods to evaluate LLMs, experimenting with data collection techniques,\u00a0implementing safety orchestration methods and mitigations,\u00a0and\u00a0training content classifiers to support the Copilot experience.\u202fWe\u2019re\u202flooking for\u00a0outstanding individuals\u00a0with experience in\u00a0machine learning or machine learning infrastructure who are also\u00a0strong communicators\u00a0and great teammates.\u202fThe right candidate takes the initiative and enjoys building world-class, trustworthy AI\u00a0experiences and products in a fast-paced environment.\u00a0\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 \ufeff 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 Leverage\u00a0expertise\u00a0to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training.\u00a0 Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes.\u00a0 Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems.\u00a0 Maintain a user-oriented perspective by understanding safety needs from user perspectives,\u00a0validating\u00a0safety approaches through user research, and serving as a trusted advisor on AI safety matters\u00a0 Track advances in AI safety research,\u00a0identify\u00a0relevant\u00a0state-of-the-art\u00a0techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users.\u00a0 Embody our culture and values.\u00a0 Qualifications Required Qualifications Bachelor\u2019s Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0\u00a0 OR equivalent experience.\u00a0\u00a0 Experience prompting and working with large language models.\u00a0\u00a0\u00a0 Experience writing production-quality Python code.\u00a0\u00a0\u00a0 Preferred Qualifications Demonstrated interest in Responsible AI.\u00a0\u00a0\u00a0 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.\u00a0If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request\u00a0via the  Accommodation request form . Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837028970", "isPrivate": false}, {"id": 1970324837028535, "name": "Member of Technical Staff, Technical Program Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States", "Mountain View, CA, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1757965273, "t_create": 1753480470, "ats_job_id": 1970324837028535, "display_job_id": 1970324837028535, "type": "ATS", "id_locale": "1970324837028535-en", "job_description": "Overview: We are on a mission to create the leading AI experience using the world\u2019s most capable AI frontier models enabling human level intelligence and beyond. Building this experience will require us to have a seamless platform that will spans training and inference across one of the world\u2019s most foremost GPU clusters, pushing the boundaries of scale, performance, and reliability. The AI Product Acceleration team at Microsoft AI needs to track closely all aspects of infrastructure including cluster acquisition, capacity deployment, large scale GPU buildout, high-speed fabric buildout and validation, benchmarking, and performance optimizations to support and accelerate our model pre-training, post-training fine-tuning, and inferencing operations. We are an interdisciplinary team of engineers and scientists, learning from each other, and collaborating to create the best models, methods and products. We work closely with the teams that transform pre-trained models into the models that power the consumer Copilot experience. We are looking for a Member of Technical Staff, Technical Program Manager who would be the driving force behind all the activities mentioned above, track and manage the priorities across the various engineering teams delivering both hardware capacity and software components for pretraining. The individual should be excited and be proud about contributing to the next generation of systems that will transform the field. We are looking for candidates who:  Are passionate about managing high stakes time-sensitive large-scale programs Are keenly aware and able to manage timelines and schedules of mission critical cluster hardware, software and services  Have experience in navigating the timelines of datacenter capacity deploying thousands of GPUs and enable large-scale AI model training or inference clusters Will thrive in a highly collaborative, fast-paced environment  Have a high degree of craftsmanship and pay close attention to details  Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies  \ufeffEffectively manage multiple responsibilities and can adjust to shifting priorities.\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. By applying to this U.S. Redmond, WA (preferred) OR Mountain View, CA position, you are required to be local to the Seattle OR San Francisco 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 :\u00a0 Deeply understand, track and manage the timelines of datacenter construction and bring-up. Deeply understand, track and manage node, rack and cluster validation processes. Hold execution-focused meetings with various stake holders to accelerate GPU delivery timelines. Track and manage the capacity deployment, validation and benchmarking of AI supercomputers.  Collaborate with the product team and other engineers and researchers across Microsoft and other vendors to identify gaps and drive timelines towards resolutions and mitigations. Working with a cross-disciplined crew across design, research, engineering, and data analysis to deliver a high-quality product and evaluate success towards business goals.  Embody our  culture  and  values . Qualifications: Required Qualifications: Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. 1+ yrs of tracking and managing capacity deployment, validation, and benchmarking of GPU allocations for AI inferencing or training. Preferred Qualifications:\u00a0 Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years experience managing cross-functional and/or cross-team projects. 1+ year(s) experience reading and/or writing code (e.g., sample documentation, product demos). Technical Program Management 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. Certain roles may be eligible for benefits and other compensation. 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