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Overview
Lead / Manager

Technical Program Manager, Post-Training, Core Model

Confirmed live in the last 24 hours

DeepMind

DeepMind

Compensation

$227,000 - 320,000

Mountain View, California, US
On-site
Posted January 26, 2026

Job Description

Snapshot 

 

Join our team and dive into  one of the most exciting and rapidly evolving areas in AI development. In this multifaceted role, you'll drive impact across the entire lifecycle, focusing on E2E model quality. You will be closely collaborating with researchers, data scientists, serving/deployment,  and product teams to ensure high-quality model deliveries, 

About Us 

 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

 

Sitting within the GenAI programs, this role is part of the Post-Training programs team. This role will work with the core modeling team and many xFN teams to ensure end-to-end model quality for Gemini models. 

Key responsibilities

  • Model Training:  Collaborate closely with the modeling team to support core model training, meticulously track priorities, issues; deeply understand evaluation and experimentation results; coordinate alignment and, assessment with model capability teams; drive testing and feedback collection to inform ongoing model development
  • Model Metrics, Evaluation, & Analysis:  Possess a deep understanding of AI model evaluation methodologies. Collaborate with data scientists to design and integrate model evals, execute evals, and conduct loss analysis to inform model quality. 
  • E2E Model Release:  Own the end-to-end model release cycle. Manage checkpoint upload, generate comprehensive documentation, coordinate serving/deployment, capacity planning, and rigorous cross-functional testing. Provide proactive status updates to stakeholders, and effectively triage model issues back to the modeling team.
  • High Level Strategy and Hands-On Execution:  Drive strategic vision and tactical delivery. Lead with high agency. Proactively identify workflow gaps and implement scalable improvements to optimize efficiency and output quality

In addition to the above, we expect you to 

  • Scope and drive complex, ambitious programs, Manage simultaneous projects balancing immediate deliveries with long-term strategic success. 
  • Demonstrate strong technical expertise in modeling, evaluations, and/or model deployment. 
  • Thrive in rapidly evolving, ambiguous project environments, adeptly adjusting plans and strategies as project conditions change. 
  • Unite diverse teams for fast-paced execution and deliveries. 
  • Be the trusted owner of project status, proactively identifying dependencies, risks, and issues, ensuring clear progress and visibility across stakeholders. 
  • Cultivate strong relationships with key stakeholders, influencing actions and outcomes without direct authority, ensuring alignment among the stakeholders.
  • Be highly organized, self-motivated, consistently drive process improvements, streamlining and simplifying execution, and identifying tooling efficiencies if applicable.
  • Have excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly and concisely to diverse audiences including executive leadership. 


Requirements

  • BS degree in Computer Science, Engineering, Data Science, or related technical field
  • 10+ years of leading large-scale highly complex engineering projects, preferably across multiple geographies and time zones
  • Strong technical acumen - ability to quickly learn and deeply understand the technical aspects of the programs from interface to infrastructure, serving, and customer issues, and drive technical discussions. 
  • Experience in model trainin
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