Technical Program Manager - Generalist (ai/ml)

Microsoft Microsoft · Big Tech · Mountain View, CA +4 · Technical Program Management

Technical Program Manager for Microsoft AI's Superintelligence Team, focused on training frontier AI models. The role involves end-to-end program planning, coordinating with researchers and engineers, managing timelines, mitigating risks, and ensuring the responsible advancement of AI.

What you'd actually do

  1. Coordinate projects and programs including all elements of end-to-end program planning, timelines, milestones, performance metrics, risk anticipation/mitigation and resource needs for programs and product cycles.
  2. Collaborate with product teams, engineers, researchers, and external partners to identify gaps and drive timelines toward resolution and mitigation.
  3. Leverage data and analytics to identify opportunities for improvement, track progress, and measure the impact of quality and efficiency programs.
  4. Own the status of key projects, proactively identifying risks and proposing solutions to ensure timely delivery.
  5. Work closely with teams on infrastructure, data engineering, pre-training, post-training, and product feedback.

Skills

Required

  • STEM bachelor's degree AND 6+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience.
  • 6+ years' experience managing cross-functional and/or cross-team projects.

Nice to have

  • STEM bachelor's degree AND 10+ years' experience in working with AI researchers, product/technical program management, data analysis, or product development OR equivalent experience.
  • 10+ years' experience managing cross-functional and/or cross-team projects.

What the JD emphasized

  • Deeply understand the pipeline of collecting data, training, evaluating, and serving language models and multimodal models.
  • managing high-stakes, time-sensitive, large-scale programs.
  • owning projects that span offices, teams, and time zones, can coordinate different workstreams, and drive to relentlessly unblock progress.

Other signals

  • train the world’s most capable AI frontier models
  • deliver one of the best foundation models in the world
  • push the boundaries of scale, performance, and product deployment
  • ultra-capable systems that remain controllable, safety-aligned, and anchored to human values