Technical Program Manager, Scientific AI & Reasoning Equity

Google LLC

Mountain View (CA)

On-site

USD 217,000 - 236,000

Full time

4 days ago
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Job summary

Google DeepMind seeks a Technical Program Manager for Science & Reasoning focused on Gemini. You will lead cross-disciplinary engineering efforts, plan requirements with internal customers, and shepherd projects through the full lifecycle with clear risk communication to stakeholders.

You will supervise data priorities, coordinate SFT and RL environments, and drive high-signal training data and benchmarks across frontier AI research. Strong leadership is essential.

Qualifications

  • Bachelor's degree in Life/Physical/Math/CS or equivalent practical experience.
  • 5 years of experience with technical programs, research engineering, or applied AI/ML projects (or 3 years with a PhD).
  • Strong ability to audit model reasoning trajectories and data pipelines.

Responsibilities

  • Lead complex, multi-disciplinary engineering projects from planning to delivery.
  • Plan requirements with internal customers and manage project scope and timelines.
  • Identify risks and clearly communicate them to stakeholders.
  • Explain analyses and recommendations to executives and engineers alike.
  • Audit benchmarks, shape data and training priorities with researchers.
  • Drive data collection, synthetic data, SFT, and verifiable RL environments.

Skills

Model reasoning traces
Research infra design
SFT RL knowledge
Task & rubric auditing
Ambiguous research environments

Education

Bachelor's degree or higher in a relevant field

Tools

Python

Job description

Google DeepMind seeks a Technical Program Manager for Science & Reasoning focused on Gemini. You will lead cross-disciplinary engineering efforts, plan requirements with internal customers, and shepherd projects through the full lifecycle with clear risk communication to stakeholders.

You will supervise data priorities, coordinate SFT and RL environments, and drive high-signal training data and benchmarks across frontier AI research. Strong leadership is essential.

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