G

Google

Runs Search and YouTube and builds Gemini AI

Group Product Manager - Frontier Model Protection

Full-Time
$300k - $333k+ 25% Bonus Target + Equity
Expert
Bachelor's, Master's, MBA, PhD
San Francisco, CA, USA+2 moreMore locations: New York, NY, USA | Mountain View, CA, USA
In Person
ProductTechnical Product Management
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A bachelor's degree or equivalent practical experience.
  • 10 years of experience in product management or a related technical role.
  • 5 years of experience taking technical products from conception to launch, such as ideation through execution or end-to-end product delivery.
Responsibilities
  • Define the multi-year product goal and strategic roadmap for frontier model protection and anti-distillation defenses across Google DeepMind.
  • Establish policies and runtime guardrails that balance intellectual property defense against developer friction, model utility, and commercial growth objectives.
  • Develop quantitative evaluation frameworks and telemetry to measure defense efficacy and continuously validate complex trade-off decisions.
  • Partner with researchers and engineers to translate breakthroughs in watermarking and query analysis into globally scalable, production-grade defenses.
  • Secure executive alignment and lead technical engagement with peer labs and AI Safety Institutes to establish shared evaluation benchmarks.
  • Own the product strategy for Frontier Model Protection, including the goal, governance, and defense architectures that safeguard research assets while balancing business growth and developer innovation.
  • Represent Google DeepMind externally and shape safety strategies with government stakeholders and peer labs to establish safety benchmarks and evaluation standards.
  • Guide products from conception to launch by connecting technical and business considerations and breaking complex problems into steps that drive product development.
  • Analyze, position, package, promote, and tailor solutions to users throughout the product execution cycle.
Desired Qualifications
  • Preferred: a master's degree, MBA, or PhD in Computer Science, Machine Learning, Cybersecurity, or Business.
  • Direct domain experience in AI security, model defense, anti-distillation techniques, adversarial machine learning, and model extraction threat modeling.
  • Familiarity with emerging AI governance frameworks, large language model security standards such as OWASP Top 10, and external safety coalitions.
  • A proven track record of collaborating directly with PhD-level researchers to transition novel algorithmic discoveries into low-latency, production-hardened systems.

About the company

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company Size

10,001+

Company Stage

IPO

Headquarters

Mountain View, California

Founded

1998

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Simplify Jobs

Simplify's Take

What believers are saying

  • Gemini caught on: its app's monthly users rose from 400 million in May 2025 to 1 billion by August 2026.
  • Cloud work is booked years ahead: Google Cloud had $514 billion of signed contracts still to deliver in June 2026.
  • Stock awards gained value: Alphabet shares rose 44% in the 12 months to October 2026, versus 2% for Microsoft.

What critics are saying

  • Cloud is still third: Google held 15% market share in the June 2026 quarter, behind Amazon's 28% and Microsoft's 20%.
  • AI spending outruns cash: Alphabet spent $44.9 billion on equipment in the June 2026 quarter, more than operations generated.
  • AI leadership is turning over: in August 2026, Demis Hassabis handed off running Google DeepMind, and veteran Jeff Dean left.

What makes Google unique

  • Consumer apps earn most profit: Google Services made $39.5 billion operating profit in the June 2026 quarter, 4.5 times Cloud.
  • Rivals rent its homemade AI chips: Claude maker Anthropic agreed in October 2025 to use up to 1 million TPUs.
  • Android dominates mobile browsing: it had 69% of global mobile web use in September 2026, versus 31% for iPhones.

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Benefits

  • Hybrid Work Options
  • Remote Work Options
  • Performance Bonus
  • Company Equity

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