copilot p0ps jobs in redmond wa usa

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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. 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). 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007527", "isPrivate": false}, {"id": 1970324837005303, "name": "Member of Technical Staff, Platform Engineer", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1749586658, "t_create": 1737571387, "ats_job_id": 1970324837005303, "display_job_id": 1970324837005303, "type": "ATS", "id_locale": "1970324837005303-en", "job_description": "Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR equivalent experience. 6+ 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. 6+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Experience working with AI platforms, frameworks, and APIs. 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. Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837005303", "isPrivate": false}, {"id": 1970324837005181, "name": "Member of Technical Staff, Platform Engineering Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1750955012, "t_create": 1737482605, "ats_job_id": 1970324837005181, "display_job_id": 1970324837005181, "type": "ATS", "id_locale": "1970324837005181-en", "job_description": "Build secure and performant AI Platform services that power Copilot. Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers 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 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 8+ 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. 8+ years' experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking. Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 6+ years people management experience. Experience working with AI platforms, frameworks, and APIs. 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/1970324837005181", "isPrivate": false}, {"id": 1970324837007744, "name": "Member of Technical Staff \u2013 Machine Learning Engineer\u00a0", "location": "New York, New York, United States", "locations": ["New York, New York, United States", "Redmond, WA, USA", "Mountain View, CA, USA", "Boulder, CO, USA"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1750964991, "t_create": 1739568976, "ats_job_id": 1970324837007744, "display_job_id": 1970324837007744, "type": "ATS", "id_locale": "1970324837007744-en", "job_description": "Creates pipelines for machine learning, inclusive of data preparation, inference, and integration with downstream systems. Comfortable with large scale data processing pipelines to extract business value from user logs. Learning about, understanding, and experimenting with the latest LLM capabilities that keep up with your customers. Partnering with engineering, product, and leadership teams to create robust client libraries that facilitate large scale inference on user data. Driving design and technical strategy decisions based on product needs, customer feedback and best development practices. Providing technical leadership and subject matter expertise as you establish and grow best practices for the integration of emerging technology. Embody our Culture and Values. Bachelor's Degree in Computer Science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience. Experience with Python, SQL, and/or Spark. Bachelor's Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, or Python OR equivalent experience Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines. Experience with Python package development. Experience with LLMs and prompt engineering. Experience with ML and data science libraries such as sklearn, PySpark, pandas, and transformers.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837007744", "isPrivate": false}, {"id": 1970324837008308, "name": "Principal Product Manager - Copilot", "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": 1751325751, "t_create": 1740168197, "ats_job_id": 1970324837008308, "display_job_id": 1970324837008308, "type": "ATS", "id_locale": "1970324837008308-en", "job_description": "Drive building world-class AI applications that will delight consumers across Copilot, Edge, Bing, Windows and Mobile. Own a product area and be responsible for understanding user needs and behaviors, defining product requirements, managing end-to-end product development, launches and iterations. Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively. Enjoy working in a fast-paced, 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. Embody our Culture and Values. Bachelor's Degree AND 10+ years experience in product management Experience leading product teams building consumer products. Bachelor's Degree AND 12+ years of experience in product management OR equivalent experience. Experience leading product teams building consumer products in personal productivity, search, education or messaging. Experience building consumer products leveraging Machine Learning or Large Language Models. 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. Experience with data analytics and experimentation tools. Working knowledge of SQL and coding skills (Python, Javascript).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008308", "isPrivate": false}, {"id": 1970324837017108, "name": "Member of Technical Staff\u00a0- Android Engineer", "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": 1751574234, "t_create": 1749166321, "ats_job_id": 1970324837017108, "display_job_id": 1970324837017108, "type": "ATS", "id_locale": "1970324837017108-en", "job_description": "Overview Microsoft AI is looking for a talented Android engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We\u2019re looking for someone 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 Native Engineering team is responsible for leading and building the core experience of Copilot on iOS and Android, while collaborating with our Product Management, Design and AI Research teams.\u00a0 Our newly formed organization, Microsoft AI (MAI), is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a 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. Mountain View, CA/Redmond, WA position, you are required to be local to the San Francisco/Redmond area and in office 3 days a week.\u202f Responsibilities Care deeply about building outstanding consumer-grade mobile applications.\u00a0 Build consumer grade applications for Android.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences.\u00a0 Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.\u00a0\u00a0 Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture\u202f and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience developing mobile applications for Android platforms with coding in languages including, but not limited to, Kotlin, Objective-C, or Java\u00a0 OR equivalent experience.\u00a0 Working knowledge of mobile application architecture, design patterns, and UI/UX principles.\u00a0 Preferred Qualifications: Contributions to open-source projects.\u00a0\u00a0 Experience building Android applications from scratch.\u00a0 Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.\u00a0 Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI.\u00a0 Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.\u00a0 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. #copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837017108", "isPrivate": false}, {"id": 1970324837016920, "name": "Member of Technical Staff - Data Scientist", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1751589878, "t_create": 1748884811, "ats_job_id": 1970324837016920, "display_job_id": 1970324837016920, "type": "ATS", "id_locale": "1970324837016920-en", "job_description": "Develop metrics for copilot usage and quality. Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation. Enable A|B experimentation for new features. Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own. Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers. 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. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 1+ years of experience in leveraging complex data, applied data science, developing sophisticated algorithms, executing large-scale A/B testing, and possessing extensive product knowledge. Experience with metrics creation, predicting trend analysis, measuring traffic patterns, and assessing experimentation results. Proficiency in using one or more programming or scripting language like Python, R, or C# to work with data required. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience with prompt engineering and using LLMs. Experience building data pipelines to support analytics and experiment scenarios Experience working on product analytics to drive product improvements 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, while clearly communicating complex technical concepts to both technical and non-technical stakeholders 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/1970324837016920", "isPrivate": false}, {"id": 1970324837015568, "name": "Member of Technical Staff \u2013 Client Engineering", "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": 1751901771, "t_create": 1747089845, "ats_job_id": 1970324837015568, "display_job_id": 1970324837015568, "type": "ATS", "id_locale": "1970324837015568-en", "job_description": "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. Ship high-quality, well-tested, secure, and maintainable code. Overcome obstacles to deliver work quickly and iteratively to users 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 applications including, but not limited to, Python, C#, C++, .NET, XAML Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement. Bachelor's 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. Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc. Experience working with AI platforms, frameworks, and APIs. 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, while clearly communicating complex technical concepts to both technical and non-technical stakeholders. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015568", "isPrivate": false}, {"id": 1970324837009214, "name": "Member of Technical Staff - Engineering Manager", "location": "Redmond, Washington, United States", "locations": ["Redmond, Washington, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1751901797, "t_create": 1741117569, "ats_job_id": 1970324837009214, "display_job_id": 1970324837009214, "type": "ATS", "id_locale": "1970324837009214-en", "job_description": "Lead a full stack team to design and develop Platform services and Windows client applications to support Copilot experiences on Windows. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services. Guide your team while assuming accountability to product outcomes. Find creative solutions to obstacles and actively partner across the broader organization to ensure product success. Ship high-quality, well-tested, secure, and maintainable code. 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 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, RUST, Java OR equivalent experience. 6+ years experience managing teams in highly dynamic and fast moving environments 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 building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement. Experience working with AI platforms, frameworks, and APIs. 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. Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 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