Technical Product Manager, Trust & Safety

📋 Description

• Define and deliver data products for AI research teams by translating research objectives into
• Design sandboxed, trap-based reinforcement learning environments that test for misalignment, reward
• Develop cybersecurity-focused scenarios involving prompt injection, exposed credentials, credential
• Build safety into agentic tasks through behavioral rubrics, verifiers, and reward signals that
• Define and manage evaluation frameworks and measurable safety metrics, including attack success
• Identify evaluation gaps and blind spots, analyze results, and drive continuous product

🎯 Requirements

• At least 5 years of product management experience, including ownership of technical products in
• Practical familiarity with large language model training and evaluation methods, including
• Working knowledge of agentic AI systems, including tool use, computer-use agents, multi-step
• Strong understanding of AI safety concepts such as reward hacking, deceptive alignment, jailbreaks
• Technical fluency sufficient to read code, review environment specifications with engineers, and
• Familiarity with Python and sandboxed environments such as Docker, virtual machines, and browser

🎁 Benefits

• Annual salary range of $180,000–$220,000 USD, depending on experience, skills, and qualifications.
• Remote work opportunity within the United States.
• Opportunity to shape the safety and reliability of advanced AI systems.
• Cross-functional collaboration with specialists in AI research, engineering, cybersecurity, policy