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Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
About the role
This is an opportunity to join DeepMind and architect the multi-quarter product goal, organizational strategy, and platform portfolio for AI Security and Privacy Platforms across our frontier models, autonomous agent frameworks, eval infrastructure, and confidential compute ecosystems. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor's degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience
More about this role
- Define and own the multi-quarter product goal, charter, and roadmap for Agentic Security and Privacy Platforms across frontier training and evaluation pipelines, developer tools, and deployments to end-users.
- Build secure execution environments across evaluation, reinforcement learning, and developer command-line interface workflows by enforcing hardened sandboxes, strict network access controls, and least-privilege permissions.
- Lead unified runtime monitoring platforms—combining reasoning-trace oversight, prompt injection defenses, and fine-grained context lineage tracking.
- Scale automated adversarial testing platforms to systematically stress-test agent behaviors, paired with verification and safe production deployment.
- Lead the platform roadmap for hardware-enforced confidential artificial intelligence inference—including secure hardware enclaves, remote attestation, and encrypted transport—alongside privacy and safety guardrails for enterprise and sovereign clouds.
- Bachelor's degree in Computer Science, Engineering, a related technical discipline, or equivalent practical experience.
- 10 years of product management experience, including experience leading platform...
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