Technical Program Manager, Pretraining Data Infrastructure

Microsoft AI•Mountain View, CA
•$119,800 - $261,000

About The Position

Microsoft AI is seeking a Technical Program Manager to lead planning, prioritization, and execution for data infrastructure supporting Pretraining research and development. The role partners with researchers, engineers, and technical leads to turn evolving needs into a clear roadmap, streamlined workflows, and reliable delivery. It combines technical program leadership with a product and user-experience mindset, focusing on researchers’ and engineers’ workflows, friction points, and research velocity. The position owns an integrated data-infrastructure roadmap, establishes a centralized request backlog, advocates for users, and partners with technical owners to manage dependencies, tradeoffs, and blockers. It also drives cross-team alignment and communicates status, risks, and decisions to stakeholders and leadership using lightweight processes suited to a fast-moving environment.

Requirements

  • Experience delivering complex technical programs across multiple teams; the stated years are unspecified ([X+]).
  • Familiarity with data pipelines, distributed systems, or ML workflows, and ability to engage credibly with technical audiences.
  • Ability to translate user needs into prioritized investments and improved experiences.
  • Experience managing dependencies, establishing accountability, and adapting plans as priorities evolve.
  • Strong written and verbal communication skills, with a track record of aligning stakeholders and influencing without formal authority.

Nice To Haves

  • Experience delivering technical programs in data infrastructure, research platforms, or developer tooling.

Responsibilities

  • Own an integrated roadmap for data infrastructure, translating user needs into requirements, priorities, milestones, and measurable outcomes.
  • Establish and maintain a centralized backlog of requests and gaps, making tradeoffs and decisions transparent.
  • Engage directly with researchers and engineers to identify pain points and convert feedback into concrete improvements.
  • Partner with technical owners to navigate dependencies, infrastructure tradeoffs, and blockers, ensuring timely resolution.
  • Drive alignment across teams, reduce duplication, and connect tools into cohesive end-to-end workflows, especially across organizational boundaries.
  • Communicate status, risks, and decisions clearly to stakeholders and leadership using lightweight processes.
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