san management c72n jobs in Microsoft

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Develop original topic ideas and thematic arcs balancing a range of needs. Identify and recruit leading and upcoming voices from academia, journalism, tech, and policy, cultivating relationships with the best writers, thinkers, doers and agents. Hit content targets for the journal on a limited budget, from initial idea or submission to final publication, maintaining a balance of longform depth and shortform agility across the calendar (with 12 longform pieces being the anchor, alongside a similar number of shorter pieces alongside op-eds and updates). Coordinate and own the editorial calendar, including thematic issues. Provide developmental feedback and editorial guidance pre- and post-submission, ensuring clarity, coherence, and originality in commissioned pieces. See that pieces make it live on the content management system. Help build a distinct, respected brand for the publication, representing MAI in the world of media and ideas. Contribute to the messaging, marketing and socials. Collaborate and sometimes lead on formats like podcasts, an annual print special, convenings, lectures and occasional video amongst others, ensuring cross-platform cohesion in brand, editorial standards and storytelling tone. Understand and own the engagement metrics for the core content. Embody our culture and values. 5+ years' experience in digital content publishing/management, writing or editing at a leading publication OR equivalent experience. 5+ years' experience in leading editorial strategy and content development, from ideation to publication and recruiting top contributors. 5+ years' experience managing editorial calendars, providing developmental feedback, and ensuring cross-platform brand consistency across digital, print, and event formats. Experience and/or interest in AI or technology more widely. Work on a publication with academic and thought leadership kudos and a strong digital presence. Track record of building a media brand from a starting position, with a demonstrable record of doing a range of tasks to ensure its success. Ability to collaborate across multiple teams and levels while also contributing to a positive work environment, fostering knowledge sharing and growth within the team. Journalistic experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837136206", "isPrivate": false}, {"id": 1970324837116763, "name": "Senior Technical Program Manager, Copilot Voice & Vision", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761962903, "t_create": 1760047055, "ats_job_id": 1970324837116763, "display_job_id": 1970324837116763, "type": "ATS", "id_locale": "1970324837116763-en", "job_description": "Own and manage the back-end infrastructure for the Copilot Voice & Vision stack, applying technical expertise in modern web stacks, networking, and large language model (LLM) serving. Serve and operate live voice and vision endpoints, including planning for Site Reliability Engineering (SRE) and on-call coverage, while monitoring and improving service quality metrics. Apply a deep understanding of multimodal LLMs\u2014including differences from text models, evaluation methods, and prompting strategies\u2014to inform product and engineering decisions. Support upstream customer teams as they develop new features on the Voice & Vision stack by understanding requirements, guiding teams to existing solutions, or scoping and delivering new features in collaboration with engineering. Collaborate with client engineers and data teams to ensure proper instrumentation for quality-of-life (QoL) metrics, enabling effective monitoring, assessment, and evaluation of new features and end-product quality. Partner with marketing to align product readiness with planned launches, proactively identifying risks, and tracking metrics that demonstrate business and user impact. Manage and prioritize the backlog of tasks across multiple teams, balancing product improvements, backend initiatives, customer feature requests, and triaging inbound bugs and support requests. Integrate with broader organizational processes such as cycle planning, RAG status updates, and weekly quality reviews (WQR) to ensure seamless alignment with company-wide operational rhythms. Lead capacity planning for efficient resource utilization, assessing the impact of new features from both the V&V team and upstream customer teams, and securing additional capacity as needed. 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. 3+ years of experience working with modern web stacks (such as Node.js, Python, or .NET), networking protocols, or deploying or serving large language models (LLMs) in a production environment. 3+ years of experience designing, developing, or deploying voice and/or vision solutions in production environments (such as speech recognition, voice assistants, computer vision, or multimodal AI applications). Bachelor's Degree AND 8+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience. 6+ years of experience managing cross-functional and/or cross-team projects. Experience developing scalable data collection pipelines and operational processes. Ability to proactively identify risks, create mitigation strategies, and ensure timely project delivery. Demonstrated success working with engineering, research, and operations to deliver high-impact AI solutions. Ability to change the momentum of current plans to a more beneficial course that amplifies team impact Effective communication skills and executive presence.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837116763", "isPrivate": false}, {"id": 1970324837026944, "name": "Product Manager, AI", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1762049291, "t_create": 1753281670, "ats_job_id": 1970324837026944, "display_job_id": 1970324837026944, "type": "ATS", "id_locale": "1970324837026944-en", "job_description": "Deeply understand the pipeline of collecting data, training and then serving language models and multimodal models Have experience in working side-by-side with researchers and engineers Thrive in a fast-paced, innovative environment Are passionate about managing high stakes time-sensitive large-scale programs Take the initiative and enjoys finding paths through complexity in a fast-paced environment Are comfortable owning projects that span offices, teams and time zones, can co-ordinate different workstreams, and drive to relentlessly unblock progress Demonstrate a proactive attitude and enthusiasm for exploring new methods and technologies Bachelor's Degree AND 8+ year's experience in product/service/project/program management or software development Proven track record as a product manager with firsthand experience evaluating and deploying LLMs into production. Experience working side-by-side with Researchers and/or Engineers Experience managing cross-functional and/or cross-team projects. Identifying and prioritizing language and multimodal model issues and working with researchers to find a path to resolution. Creating novel data collection tasks for taskers to evaluate models and to collect training data for fine-tuning. Creating model prototypes to prove out new feature directions and scope projects. Engineering prompts to teach models how to behave across a wide range of scenarios. Working closely with researchers and engineers to define and manage engineering and research projects. Deploying and tracking AB model experiments in production Foster a culture of collaboration, continuous improvement, and growth. Collaborate closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback Advance the AI frontier responsibly Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837026944", "isPrivate": false}, {"id": 1970324837015672, "name": "Member of Technical Staff, Post-Training", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA", "New York City, NY, USA"], "hot": 1, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1761778924, "t_create": 1747180837, "ats_job_id": 1970324837015672, "display_job_id": 1970324837015672, "type": "ATS", "id_locale": "1970324837015672-en", "job_description": "Are passionate about advancing the state of post-training research; Have experience with reward modeling, RL, or other post-training techniques; Will thrive in a highly collaborative, fast-paced environment; Have a high degree of craftsmanship and pay close attention to details, consistently striving for engineering excellence. ; Are willing to contribute meaningfully as individuals and take end-to-end ownership of projects Bachelor's Degree in Computer Science, Machine Learning, Mathematics, 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 Have experience with reward modeling, RL, or other post-training techniques. Bachelor'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 OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop data collection, evaluation, and post-training methods for models. Design hypotheses and experiment plans for rapidly iterating on model performance. 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Demonstrated experience in large-scale AI. Passionate about conversational AI and its deployment. 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 AI. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack Collaborate closely with teams on infrastructure, data, post-training, and multimodality Embody our culture and values.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://microsoftai.eightfold.ai/careers/job/1970324837004339", "isPrivate": false}, {"id": 1970324837004332, "name": "Member of Technical Staff, AI Product Engineer, iOS", "location": "Mountain View, California, United States", "locations": ["Mountain View, California, United States", "Redmond, WA, USA"], "hot": 0, "department": "SAN Management (C72N)", "business_unit": "Microsoft AI (QIA5)", "t_update": 1760148578, "t_create": 1736525131, "ats_job_id": 1970324837004332, "display_job_id": 1970324837004332, "type": "ATS", "id_locale": "1970324837004332-en", "job_description": "Care deeply about building outstanding consumer-grade mobile applications. Build consumer grade applications for iOS. Ship high-quality, well-tested, secure, and maintainable code. Work collaboratively with our Designers, Product Managers, and AI Researchers to take ambiguous projects and mold them into amazing experiences. 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 developing mobile applications for iOS platforms with coding in languages including, but not limited to, Swift, Objective-C, or Java OR equivalent experience. Working knowledge of mobile application architecture, design patterns, and UI/UX principles. Contributions to open-source projects. Experience building iOS applications from scratch. 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. 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