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Salary
≈ $159k – $292k per year (Estimated)
Location
In office (Mountain View)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 20, 2026.

Overview
Company
Impact
Profile match
Google DeepMind is the artificial intelligence research and engineering division of Alphabet, formed in 2023 by merging the London laboratory founded in 2010 with the Google Brain team. It builds frontier foundation models such as the Gemini family, generative media systems including Veo and Imagen, and scientific tools like AlphaFold, whose protein structure predictions earned a share of the 2024 Nobel Prize in Chemistry. The unit pairs long-horizon research on reinforcement learning and general intelligence with product delivery across Google Search, Workspace, Android and Google Cloud.

About the job

Artificial intelligence will be one of humanity’s most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Partner with engineering and product leads to manage high-complexity technical challenges, translating ambiguous requirements into structured roadmaps and driving end-to-end execution.
  • Drive consensus with VP and Director-level leadership as well as cross-Google partners, steering critical security and privacy outcomes and navigating organizational change in high-velocity settings.
  • Develop deep technical knowledge across DeepMind's advanced models, core infrastructure, and product ecosystems to lead frontier security and privacy initiatives and deliver effective technical solutions.
  • Help, define and steer organizational security and privacy strategy, maintaining operational agility and alignment across shifting, fast-moving priorities.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 8 years of experience in technical/engineering program management.
  • Experience developing/launching products/technologies within security, privacy, or a related area.

Preferred qualifications:

  • Experience that intersects with security and artificial intelligence.
  • Significant experience partnering with and influencing executive stakeholders across functions and organizations to navigate conflicting priorities, and drive aligned interpretations and outcomes.
  • Experience in managing sizable security and privacy programs in a fast-moving and evolving environment, with proven skill to navigate through ambiguity and adjust and adapt program strategies as conditions change.
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