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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. 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Build and lead a team of software engineers, including driving project planning, prioritization of work, and designing features. Support, mentor, and help engineers grow, building an inclusive team environment where everyone can deliver their best work. Advocate for and maintain a culture of high-quality software development. Analyze telemetry and usage data to inform product decisions and troubleshoot issues. Work with diverse opinions and negotiate solutions, balancing customer requirements and business goals. Bachelor's degree in computer science, or related technical discipline AND 8+ years technical engineering experience developing building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java 4+ years of experience in managing, leading, and inspiring a team of engineers, including hiring, retaining, and managing performance. 4+ years of experience working on cloud services and infrastructure. 4+ years of experience running and working with distributed systems and on services at scale. Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR Master's Degree in Computer Science or related technical field AND 10+ years technical engineering building web services with coding in languages including, but not limited to, Python, C#, C++, Rust, Java OR equivalent experience. 6+ years people management experience. Experience with LLM training clusters. Experience working with AI platforms, frameworks, and APIs. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in mobile development and AI. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837008284", "isPrivate": false}, {"id": 1970324837007740, "name": "Member of Technical Staff 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": 1743559569, "t_create": 1739565642, "ats_job_id": 1970324837007740, "display_job_id": 1970324837007740, "type": "ATS", "id_locale": "1970324837007740-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 4+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, Go, C#, C++, Rust, Java OR equivalent experience. 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. 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 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/1970324837007740", "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": 1743127579, "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": 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": 1747174787, "t_create": 1747089845, "ats_job_id": 1970324837015568, "display_job_id": 1970324837015568, "type": "ATS", "id_locale": "1970324837015568-en", "job_description": "Overview Microsoft AI (MAI) is seeking experienced client engineers to help build the next wave of capabilities for Copilot. We\u2019re looking for someone who possesses technical prowess, a methodical approach to problem-solving and proficiency in client technologies. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. The Windows Copilot team is responsible for creating experiences that demonstrate the power Copilot can bring to Windows, large screens and productivity scenarios. In this role you will play a critical role in designing, developing, and implementing cutting-edge solutions while collaborating with Platform, Product Management, Design and Research teams.\u00a0\u00a0\u00a0 Our newly formed organization, MAI, is dedicated to advancing Copilot and other consumer AI products and research. The team\u00a0is responsible for\u00a0Copilot, Bing, Edge, and generative AI research.\u00a0Come be\u00a0a part of the team shaping the future personal computing.\u00a0 Microsoft\u2019s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.\u202f\u00a0 By applying to this U.S. Redmond, WA OR Mountain View, CA\u00a0position, you are required to be local to the Seattle OR San Francisco area in office 3 days a week. Responsibilities Design and develop client applications and components to support Copilot experiences. Work collaboratively with platform, infrastructure, application engineers and researchers to build next generation AI products and services.\u00a0 Ship high-quality, well-tested, secure, and maintainable code.\u00a0\u00a0 Overcome obstacles to deliver work quickly and iteratively to users Enjoy working in a fast-paced, design-driven, product development cycle.\u00a0 Embody our\u202f Culture and\u202f Values .\u00a0 Qualifications Required Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML\u00a0 OR equivalent experience.\u00a0 Proven track record of delivering high-quality software solutions in a fast-paced multidisciplinary environment\u00a0 4+ years' experience building secure, performant and well architected applications that demonstrate a focus on data driven iteration and improvement.\u00a0 Preferred Qualifications: Bachelor\u2019s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building applications including, but not limited to, Python, C#, C++, .NET, XAML, Kotlin, Swift OR equivalent experience.\u00a0\u00a0 Experience working with Windows debugging tools such as WinDBG, Sysinternals, etc.\u00a0 Experience working with AI platforms, frameworks, and APIs.\u00a0 Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience.\u00a0 Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security.\u00a0 Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers, while clearly communicating complex technical concepts to both technical and non-technical stakeholders.\u00a0 Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines, while collaborating and contributing to a positive, inclusive work environment that fosters knowledge sharing and growth within the team. Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $153,600 - $250,200 per year. Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015568", "isPrivate": false}, {"id": 1970324837015567, "name": "Member of Technical Staff - Engineering Manager", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747104915, "t_create": 1747089301, "ats_job_id": 1970324837015567, "display_job_id": 1970324837015567, "type": "ATS", "id_locale": "1970324837015567-en", "job_description": "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 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 We are seeking a Member of Technical Staff - Engineering Manager to lead high-performing engineering teams in delivering robust, scalable, and secure software solutions. You will be driving the development of capabilities for our Copilot product.\u00a0You will model strong leadership, guide the architectural and technical direction of the product, and foster a collaborative, growth-oriented engineering culture. This role requires a deep understanding of engineering practices, people leadership, user-focused design, and operational excellence. In addition, hands-on coding and technical contribution will be a key part of your leadership, including writing and reviewing production-level code. 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 Hire, manage, and lead a team of software engineers responsible for delivering secure, reliable, and scalable products Ship AI powered experiences that will shape how millions of people will interact with AI in the future\u00a0 Collaborate with Eng, Design and Product leadership to prioritize features and deliver a world-class AI companion to the world\u00a0 Write and review code , ensuring quality, maintainability, and performance, while also setting high standards for engineering excellence across the team. Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements. Build and maintain testing strategies , ensuring comprehensive coverage, effective automation, and scalable test frameworks that support continuous integration and deployment. Drive implementation of features and systems , breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination. Required Qualifications 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, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 3+ years of people manager experience Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 10+ years\u00a0technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python\u00a0 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, JavaScript, or Python\u00a0 OR equivalent experience.\u00a0 4+ years people management experience Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $161,600 - $286,200 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $209,600 - $314,400 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. #Copilot #MicrosoftAI", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015567", "isPrivate": false}, {"id": 1970324837015563, "name": "Member of Technical Staff, AI Product, Data Science", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747089300, "t_create": 1747087683, "ats_job_id": 1970324837015563, "display_job_id": 1970324837015563, "type": "ATS", "id_locale": "1970324837015563-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\u00a0 Microsoft AI (MAI) is seeking an experienced\u202fData\u202fScientist to help build the next wave of capabilities of our personal AI, Copilot.\u202fWe\u2019re\u202flooking for someone who\u202fpossesses\u202ftechnical prowess, a methodical approach to problem-solving,\u202fproficiency\u202fin data science 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 Growth Data Science team\u202fis responsible for\u202fdriving insights to build great products and guide business decisions using statistical analysis, machine learning, experiments, data mining, and data storytelling.\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 Responsibilities Drive product insights, opportunity analysis, and track metrics to support efforts across Microsoft Copilot.\u00a0\u00a0 Drive new ways of instrumentation and measurement approach to evaluate new feature performance through experimentation\u00a0\u00a0 Define metrics and build basic data pipelines to enable A|B experimentation for new features.\u00a0\u00a0 Hands-on analysis of large volumes of telemetry data using various algorithms and tools including your own\u00a0\u00a0 Articulate insights, storyboard with data and communicate to influence leadership and other key decision makers\u00a0\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\u00a0 Work collaboratively with our engineers, Product Managers, and marketing to take ambiguous projects that drive user growth, engagement, and retention. This includes identifying market opportunities, optimizing app flows and improving product features and proposing innovation solutions based on data.\u00a0\u00a0 Embody our\u202f Culture \u202fand\u202f Values .\u00a0 Qualifications Required Qualifications:\u00a0 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)\u00a0 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)\u00a0 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)\u00a0 OR equivalent experience.\u00a0 Preferred Qualifications: Doctorate 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)\u00a0 OR Master'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)\u00a0 OR Bachelor'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))\u00a0 OR equivalent experience.\u00a0 Data Science 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. Data Science IC5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 per year.\u00a0There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $180,400 - $294,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay\u00a0\u00a0\u00a0 Microsoft will accept applications and processes offers for these roles on an ongoing basis. #MicrosoftAI #Copilot", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015563", "isPrivate": false}, {"id": 1970324837015315, "name": "Executive Assistant", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "Copilot (P0PS)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1747447629, "t_create": 1746801779, "ats_job_id": 1970324837015315, "display_job_id": 1970324837015315, "type": "ATS", "id_locale": "1970324837015315-en", "job_description": "Overview Microsoft AI is looking for an Executive Assistant to join our newly formed organization. In this role, you will report to the Corporate Vice President (CVP) and provide administrative support to the CVP and aligned growing team. As an Executive Business Administrator, you will be helping with all levels of support including team communications, strategic calendar management, and complex end-to-end headcount/budget management. You will identify support gaps and develop/implement solutions to help contribute to the leader's and team's overall success. In addition, you will need to collaborate closely with business partners and team leaders to support the rhythm of business (ROB), space planning, and headcount/budget planning and maintenance. To best support the team and leader, at least 50% of the time is required to work from the office in Sunnyvale, CA. You will be a vital member of the team, partnering with members and leaders while demonstrating Microsoft culture and values. This new group, Microsoft GenAI, works on creating novel state-of-the-art AI models, related infrastructure, and customization tooling. It collaborates deeply with OpenAI and many Microsoft teams across the company, such as Azure AI Platform, Microsoft Research, and numerous product groups. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Calendar Management: Provides strategic calendar management and time planning support for the leader and additional team calendars when needed. Manages calendar, meeting preparation, and logistics based on knowledge of manager and business needs. Cross-Functional Collaboration and Communication: Strengthens their network (internally and externally) across organizations to enable their team and leader's work. Uses executive maturity and independent insight, judgment, discretion, business insights, and perspectives to direct and prepare staff to distribute information to their teams and/or supported leader. Team Management Support (Headcount Management, Recruitment, Onboarding/ Offboarding): Collaborates with Global Talent Acquisition (GTA) to facilitate internal and external recruitment efforts and partners with hiring managers to ensure an effective process. Supports intern and university recruitment for the broader organization (e.g., planning, placement). Creates committees to promote team experiences. Lands and delegates onboarding activities (e.g., ordering new-hire equipment, setting up workstations, distribution lists, and security groups) and provides support to new employees, vendors, and interns as an essential contact for questions and company information. Provides high-level support for a seamless executive onboarding experience. Event Coordination and Logistics: Manages, plans, and develops events. Takes responsibility for event outcomes and demonstrates executive presence. Leads a team of event planners if needed. Partners with management to understand event aspirations and target goals. Develops and leverages resources for reuse to drive efficiency. Contributes to the development of workback schedules, promotions, and necessary checkpoints. Resource Management (Hardware/Supply Management, Purchase/Expense Management Financial Management): Owns expense management, including documentation (e.g., purchase orders [POs], receipts, tax award spreadsheets, statements of work, reclassifications), expense tracking, and policy compliance. Educates the administrative team on Microsoft policy to ensure compliance across the team/division/organization and escalates issues as needed. Functions as interim approver for the executive office when needed. Rhythm of Business (ROB): Partners with senior leader(s) and Chiefs of Staff on building and managing annual rhythm of business (ROB), including fiscal year calendar and executive meeting schedule (e.g., Human Resources [HR] cadence, fiscal cadence, SLT cadence, company-wide and/or employee resource group cadence). Strategically communicates ROB cadence and helps to manage workloads, as needed. Space Management and Planning: Leads space-management processes and team spaces (e.g., office locations/desk assignments, private conference rooms, seasonally transitional spaces, remote/location status), cascading space management vision to fellow team members. Addresses and resolves high-level space requests. Leads large-scale space requests (e.g., annual office restacks, space build-outs), liaising between admins and space planner and negotiating for appropriate space for their team. Determines future space planning needs and drives space changes based on utilization data and upcoming organizational changes. Travel Management: Works with appropriate contact/tool to coordinate travel arrangements (e.g., accommodations, transportation, security) for manager(s) and/or group. Creates detailed itineraries/agendas for daily activities by setting and managing travel expectations to maximize trip productivity. Manages all travel logistics and maximizes trip itineraries Discipline Growth and Development: Provides leadership and actively seeks out and participates in the Business Support community. Mentors Business Support professionals. Shares best practices and insights. Embody Microsoft culture and values. Qualifications Required Qualifications: 7+ years Administrative, Business Support, or customer service experience in an environment with an emphasis on scheduling meetings/events, travel management, and administrative work for executive/upper-level management. Preferred Qualifications: Experience in successfully partnering with other executive assistants. Proficiency with Microsoft core Office products or related software, including, but not limited to, Word, Excel, Outlook, PowerPoint, OneNote, and OneDrive. Business Support ATR-E - The typical base pay range for this role across the U.S. is USD $32.16 - $64.90 per hour. 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 $43.08 - $71.25 per hour. 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 Single reqs: Microsoft will accept applications for the role until Month Day, Year. Certain roles may be eligible for benefits and other compensation. 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Work collaboratively with platform, infrastructure, application engineers, and AI researchers to build next generation AI products and services. Ship high-quality and maintainable code, and ensure the reliability, scalability, and performance of platform components. 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 services and products in languages such as Python, C#, C++, Rust, Java. OR equivalent experience. 4+ years' experience building scalable platforms on public cloud infrastructure like Azure, AWS, or GCP with extensive use of technologies like Docker, Kubernetes, nginx, RDBMS, key-value stores, etc. 4+ years' experience in building and releasing production software at the platform level. Solid knowledge of APIs, data flows, systems, and services. Experience managing high scale, multi-region, production environments on Kubernetes in cloud environments 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 reliability, security and ease of use. Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, 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. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 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": "hybrid", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837015277", "isPrivate": false}, {"id": 1970324837015168, "name": "Member of Technical Staff \u2013 AI Product - Data 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": 1746738732, "t_create": 1746635792, "ats_job_id": 1970324837015168, "display_job_id": 1970324837015168, "type": "ATS", "id_locale": "1970324837015168-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\u00a0\u00a0 Microsoft AI (MAI) is seeking an experienced Data Engineer to join the Growth team and contribute to the evolution of AI systems, with a focus on the personal AI assistant, Copilot. In this role, you will manage critical data pipelines and systems that drive the intelligence behind our products. While expertise in real-time systems, large language models (LLMs), and machine learning models is strongly preferred, we welcome candidates with broad data engineering experience and a passion for solving dynamic AI challenges.\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 Mountain View, CA position, you\u202fare required to\u202fbe local to San Francisco area and in office 3 days a week.\u00a0 Responsibilities Azure Tech Stack Familiarity : Demonstrate proficiency with tools and services within the Azure ecosystem, such as Azure Data Factory , Azure Databricks , Azure Synapse Analytics , Azure Stream Analytics , and Azure Machine Learning . Data Extraction and Transformation : Build code to extract raw data, validate its quality, and transform it for downstream compatibility Pipeline Development : Design, develop, and maintain scalable data pipelines for efficient large-scale dataset integration using appropriate technologies. Pipeline Integration : Integrate real-time and batch-processing pipelines to improve workflows and enhance user experience. ML Collaboration : Collaborate with machine learning engineers to support data preparation, feature engineering, and model evaluation for machine learning models. DS Collaboration : Work with data scientists to identify opportunities, conduct analyses, and drive data-driven decisions for AI initiatives. Feature Storage Management : Manage feature storage systems and develop real-time streaming pipelines for low-latency data processing, using tools like PySpark or similar. Workflow Optimization : Optimize workflows to ensure seamless integration and accessibility of data. Infrastructure Performance : Implement performance monitoring, troubleshoot issues, and develop scalable solutions to ensure reliability. Qualifications Required Qualifications: Bachelor'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 work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling or data engineering work\u00a0 OR equivalent experience.\u00a0 3+ years of experience shipping product at scale Preferred Qualifications: Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years experience in business analytics, data science, software development, data modeling, or data engineering work OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years experience in business analytics, data science, software development, data modeling or data engineering work\u00a0 OR equivalent experience.\u00a0 Data Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 per year. 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