Technical Program Manager, Data & Model Evaluation

DeepMind Technologies Limited

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

4 days ago
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Job summary

Google DeepMind is seeking a Technical Program Manager on a 12-month fixed-term contract to lead complex data collection and model evaluation programs across multimodal domains. Sit at the intersection of research, engineering, and vendor operations, translating requirements into scalable pipelines from start to finish.

You will coordinate with research and engineering to specify data requirements, manage pilot design, rater rubrics, and vendor execution, ensuring high-quality datasets for

Qualifications

  • Bachelor’s degree in a technical, quantitative, or operational field, or equivalent practical experience.
  • 5 years of experience in technical program management, data operations, or AI/ML program management.

Responsibilities

  • Manage complex human data collection and model evaluation programs across pre-training, SFT, and benchmarks.
  • Translate modeling goals into concrete data specs, guidelines, and rubrics with research and engineering.
  • Coordinate dependencies for novel data collection environments and resolve tooling bottlenecks.
  • Oversee external data providers and rater pools, manage SOWs, capacity and SLAs.
  • Establish program tracking and clearly communicate progress and risks to partners and leadership.

Skills

Technical program mgmt
Data operations
AI/ML program mgmt
Stakeholder comms

Education

Bachelor’s degree in a technical, quantitative, or operational field, or equivalent practical experience.
5 years of experience in technical program management, data operations, or AI/ML program management.

Tools

SQL
Python
Dashboards

Job description

Google DeepMind is seeking a Technical Program Manager on a 12-month fixed-term contract to lead complex data collection and model evaluation programs across multimodal domains. Sit at the intersection of research, engineering, and vendor operations, translating requirements into scalable pipelines from start to finish.

You will coordinate with research and engineering to specify data requirements, manage pilot design, rater rubrics, and vendor execution, ensuring high-quality datasets for

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