Job Title: Security Lead, Agentic Red Team
We're a team of scientists, engineers, and machine learning experts working together to advance the state of the art in artificial intelligence. Our mission is to close the 'Agentic Launch Gap'; the critical window where novel AI capabilities outpace traditional security reviews.
As the Security Lead for the Agentic Red Team, you will direct a specialized unit of AI Researchers and Offensive Security Engineers focused on adversarial AI and agentic exploitation. Operating as a technical player-coach, you will architect complex, multi-turn attack scenarios while managing cross-functional partnerships with Product Area leads and Google security to influence launch criteria.
Key Responsibilities:
- Direct Agile Offensive Security: Lead a specialized red team focused on rapid, high-impact engagements targeting production-level AI models and systems.
- Perform Complex AI Exploitation: Develop and carry out advanced attack sequences that focus on vulnerabilities unique to GenAI, such as escalating privileges through tool usage, poisoning data, and executing multi-turn prompt injections.
- Design Automated Validation Systems: Collaborate with Google teams to engineer 'Auto RedTeaming' solutions that transform manual vulnerability discoveries into robust, automated regression testing frameworks.
- Engineer Technical Countermeasures: Create innovative defense-in-depth frameworks and control systems to mitigate agentic logic errors and non-deterministic model behaviors.
- Manage Threat Intelligence Assets: Develop and oversee an evolving inventory of exploit primitives and agent-specific attack patterns used to establish release criteria and evaluate model security benchmarks.
- Establish Security Scope: Collaborate with Google for conventional infrastructure protection, allowing the team to concentrate solely on agentic logic, model inference, and AI-centric exploits.
About You:
- Bachelor's degree in Computer Science, Information Security, or equivalent practical experience.
- Experience in Red Teaming, Offensive Security, or Adversarial Machine Learning.
- Deep technical understanding of LLM architectures and agentic workflows (e.g., chain-of-thought reasoning, tool usage).
- Proven ability to work in a consulting capacity with product teams, driving security improvements in fast-paced release cycles.
- Experience managing or technically leading small, high-performance engineering teams.
In addition, the following would be an advantage:
- Hands-on experience developing exploits for GenAI models (e.g., prompt injection, adversarial examples, training data extraction).
- Familiarity with AI safety benchmarks and evaluation frameworks.
- Experience writing code (Python, Go, or C++) to build automated security tools or fuzzers.
- Ability to communicate complex probabilistic risks to executive stakeholders and engineering teams effectively.
The US base salary range for this full-time position is between $248,000 – $349,000 + bonus + equity + benefits.
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