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": 1751916072, "t_create": 1737648765, "ats_job_id": 1970324837005425, "display_job_id": 1970324837005425, "type": "ATS", "id_locale": "1970324837005425-en", "job_description": "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. Design, develop, and maintain platform-level software solutions. Collaborate with cross-functional teams to integrate AI capabilities into various products. Ensure the reliability, scalability, and performance of platform components. Stay updated with the latest advancements in AI and engineering. Work alongside the technical staff and AI researchers to improve model development flows. Embody our Culture and Values. Bachelor's 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. Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web services with coding in languages including, but not limited to: Python, Golang, Java/Scala, Rust 6+ years' experience in building and releasing production software at the platform level. Deep experience with all of the following languages: Golang, Java/Scala, Typescript (React/Next.js) Experience in model pretraining, post-training, evaluation, and inference Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally. 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 changing requirements and deadlines.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005425", "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": 1755520815, "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 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": 1755043723, "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. 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": 1756260563, "t_create": 1754909639, "ats_job_id": 1970324837030267, "display_job_id": 1970324837030267, "type": "ATS", "id_locale": "1970324837030267-en", "job_description": "Own and drive the internal narrative and executive communications for the CVPs of Copilot Product and Engineering including org-wide updates, vision memos, All Hands materials, and internal storytelling that builds trust, drives clarity, and energizes the organization. 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. Shape and increase awareness of the executive voice, ensuring messaging is authentic, strategic, and scalable across internal and external channels. Manage design resources to deliver polished, on-brand communications at speed. Track impact and perception, using feedback loops and metrics to refine messaging and influence narrative direction. Own the comms calendar and cadence proactively manage content pipelines, key milestones, and event deliverables with precision and foresight. 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 5+ years of experience building formal internal communication plans 4+ years of experience developing messaging for senior executives in environments undergoing organizational change and/or product evolution. 2+ years of experience in a product developement environment. 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 10+ years in Communications, Marketing Operations, Field Operations, Program Management, Project Management, or related experience Familiarity and passion for AI products\u2014especially Copilot or similar tools\u2014and the ability to translate technical concepts into compelling narratives. Demonstrated success operating in startup-like environments with shifting priorities, cross-functional collaboration, and high visibility. Experience exercising strategic judgment and scenario planning skills, including risk mitigation and stakeholder alignment. High emotional intelligence and the ability to influence leaders, push back diplomatically, and coach executive voice. Passion for storytelling as a lever for cultural cohesion, leadership maturity, and organizational enablement.", "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": 1756316781, "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. 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": 1755780379, "t_create": 1754000332, "ats_job_id": 1970324837029178, "display_job_id": 1970324837029178, "type": "ATS", "id_locale": "1970324837029178-en", "job_description": "Drive execution of MAI's 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's 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. 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 6+ years' experience supporting senior leadership with actionable insights such as coordinating cross-functional processes and maintaining operational cadences. 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.", "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": 1755655577, "t_create": 1753870687, "ats_job_id": 1970324837028970, "display_job_id": 1970324837028970, "type": "ATS", "id_locale": "1970324837028970-en", "job_description": "Leverage expertise to uncover potential risks and develop novel mitigation strategies, including data mining, prompt engineering, LLM evaluation, and classifier training. Create and implement comprehensive evaluation frameworks and red-teaming methodologies to assess model safety across diverse scenarios, edge cases, and potential failure modes. Build automated safety testing systems, generalize safety solutions into repeatable frameworks, and write efficient code for safety model pipelines and intervention systems. Maintain a user-oriented perspective by understanding safety needs from user perspectives, validating safety approaches through user research, and serving as a trusted advisor on AI safety matters Track advances in AI safety research, identify relevant state-of-the-art techniques, and adapt safety algorithms to drive innovation in production systems serving millions of users. Bachelor's 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 OR equivalent experience. Experience prompting and working with large language models. Experience writing production-quality Python code. Demonstrated interest in Responsible AI.", "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": 1755629757, "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. 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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