Senior Staff Technical Program Manager for Safety and Privacy, GeminiApp, DeepMind

Google

Location
Mountain View, CA, USA
Salary range
USD $300,000 – $333,000 base
Workplace
In office
Level
Senior / Staff IC
Job family
T&S Operations
Posted
Recently

The T&S Network estimates this role to be P4, Staff. Key skills at this level: authors a framework, architecture or strategy that teams outside their own adopt, influences teams they hold no authority over, by argument and evidence, and designs for the failure mode, not only the happy path.

Learn more about this and similar levels
Why this level

Estimated from the posting rather than stated by the employer: the posting states the level in its title · the title reads as P4 · asks for 10+ years · posts $300k to $333k base at a company over 5,000 in the San Francisco Bay Area.

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The role, in T&S terms

Written by the T&S Network from Google's posting.

Program leadership for safety and privacy on GeminiApp, a consumer AI assistant, at Google DeepMind. The role runs cross-functional execution to co-design safety mitigations with modeling teams, from the base model harness through the App UI, and to fold safety, privacy and security into one monitoring approach.

What you'd do

  • Lead a high-velocity virtual team co-designing safety mitigations with modeling teams.
  • Turn open-ended business priorities into structured programs with defined deliverables.
  • Identify and mitigate program risks, and implement fixes to keep projects moving.
  • Partner with product, engineering, legal, safety and privacy leads on approach and dependencies.
  • Resolve dependencies across workstreams, functions and organizations.
  • Give executive leadership clear updates on progress, risks and plans.
  • Track prioritized tasks against key deadlines across several concurrent projects.

What it asks for

  • A technical bachelor's degree or equivalent hands-on experience.
  • A decade running technical programs or projects.
  • 7 years of experience in leadership roles, with or without direct reports.
  • Hands-on work testing or tuning LLMs for particular products (preferred).
  • Past work in trust and safety, privacy, data governance or security at large consumer or SaaS companies (preferred).
  • Working knowledge of GDPR, CCPA and complex data architecture (preferred).
  • Understanding of LLMs, NLP, conversational AI and model evaluation techniques (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on Google before you apply. If we got something wrong, report this listing.

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About Google

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The employer

About Google

AI and model safety · Media and streaming · Infrastructure and developer tools · Mountain View, CA · More than 100,000 people · Founded 1998

Company profile

Search, advertising, Android, YouTube and Cloud, and the source of Perspective API and Jigsaw.

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