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The Applied Science team in Developer Division builds the intelligence behind GitHub Copilot, VS Code, and Visual Studio — products used by tens of millions of developers daily. We partner with product teams across several active science projects, driving evaluation, model integration, and responsible AI at a scale few teams in the industry can match. We're a team of builders. We ship fast, measure rigorously, and iterate. We believe the most impactful AI safety work happens inside product teams — embedded alongside the scientists and engineers building the models — not in separate review boards or governance committees. You will be joining at a moment of significant expansion, helping define what responsible AI at product scale looks like for the next generation of developer tools. We're looking for a Technical Program Manager who can own the responsible, safe, and compliant delivery of AI capabilities, not from the sidelines, but embedded deep in the technical details alongside applied scientists and engineers. You'll shape how models get evaluated, how features ship safely, and how privacy-by-design becomes muscle memory across the organization. This is a high-uncertainty, high-impact domain. Requirements change as models evolve, and the program management playbook is still being written. You'll need to be comfortable shaping the path as you walk it.
Job Responsibility:
Own Responsible AI delivery end-to-end
Influence and drive evaluation quality and coverage
Drive cross-functional coordination at scale
Embed privacy-by-design across the ML lifecycle
Build the playbook
Requirements:
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
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check
4+ years of experience as a Technical Program Manager, Software Engineer, or similar role
Experience working in the Generative AI field
Understanding of Responsible AI and compliance workflows for shipping AI features
Experience working on complex legal or governance projects
Hands-on experience designing, running, and maintaining LLM/GenAI evaluation suites
Knowledge of relevant regulatory frameworks such as the EU AI Act, GDPR, or similar
Experience working on complex cross-functional projects
Strong organizational and communication skills
Ability to adapt to changing environments and requirements