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Technical Program Manager, Gemini Post-Training, Subagents, DeepMind

Google
California, USA
Manager · 8+ years experience
Onsite
USD 192000-278000 / year
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Responsibilities

  • Work with research and engineering teams to optimize subagent initiatives spanning Supervised Fine-Tuning (SFT) distillation, Reinforcement Learning (RL), and dynamic harnesses into clear goals, milestones, and release plans.
  • Partner with modeling and evaluation teams to monitor evaluation leaderboards, tracking latency, token usage, parallelization speedups, and quality improvements.
  • Drive convergence between research training harnesses and production agent runtimes, managing cross-functional dependencies across data, evaluations, infrastructure, and compute resources.
  • Contribute to technical proposals by analyzing multi-agent trajectories, sync vs. async delegation patterns, and overall performance headroom.
  • Manage end-to-end project planning using effective workflows, and translate complex modeling progress into clear, decision-ready updates for leadership and cross-functional audiences.

Minimum qualifications:

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 8 years of experience in program management.

Preferred qualifications:

  • 8 years of program management experience driving delivery with research scientists and software engineers on foundation models, agentic systems, or RL pipelines.
  • Knowledge of software and ML development lifecycles, compute capacity planning, and experience managing complex, cross-functional dependencies.
  • Strong stakeholder management skills, with the ability to navigate ambiguity, influence outcomes, and align cross-functional teams without relying on direct authority.
  • Analytical depth in evaluating agentic trajectories, diagnosing failure modes, and translating insights into concrete data, harness, or RL interventions.

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