Post-Training Technical Program Manager, Data Governance, DeepMind

Google • Mountain View, CA

1d • $192,000 - $278,000

About The Position

As a Technical Program Manager at Google, you lead complex, multidisciplinary engineering projects using engineering expertise. You plan requirements with internal customers and guide projects through the full project lifecycle, including managing schedules, identifying risks, and communicating clearly with stakeholders. You explain analyses and recommendations to executives and discuss technical trade-offs with engineers. You manage programs of varied size and scope, identify future opportunities, improve processes, and drive technical direction.

This role sits within GenAI programs on the post-training programs team, which enables research and product teams to make progress toward the company’s mission by leading operational design and execution across post-training, with a focus on delivering models and research innovations. As the Technical Program Manager for Data Governance, you own end-to-end training data compliance, dataset lineage automation, model and data card execution, and cross-functional release gating. The role supports rapid model releases across first-party and third-party surfaces while meeting internal legal, privacy, and safety policies and external regulatory requirements.

Requirements

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

Nice To Haves

• 8 years of experience managing cross-functional or cross-team projects.
• Experience translating legal, privacy, safety, or regulatory policy requirements into actionable engineering workflows and technical controls.
• Experience in technical program management, data engineering, or ML systems, leading complex technical programs.
• Demonstrated ability to thrive in ambiguous research environments and align teams without direct authority.

Responsibilities

• Scope and lead data governance and compliance execution across Gemini post-training mixtures, ensuring adherence to internal policies and regulatory frameworks.
• Partner with research and data engineering teams to drive dataset cataloging, provenance tracking, and automated compliance verification.
• Collaborate with Research, Engineering, Safety, Privacy, and Legal teams to investigate data filtering alerts, identify root causes, and implement mitigations.
• Develop automated workflows and diagnostic tools to audit dataset lineage and streamline compliance reviews.
• Manage model release readiness across product and API surfaces, and lead the creation of model cards and data cards.

Benefits

• 20% bonus target
• Equity
• Benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior