AI Product Owner Intern at Sentinel focusing on research projects in emerging AI technologies, contributing to reporting, and prototyping new features. Join a fast - paced environment with real ownership and growth opportunities.
About the role
- Product Manager overseeing the execution layer for AI agent harness at Cohere. Driving AI innovations to enhance enterprise capabilities and streamline workflows.
Responsibilities
- Define and own the roadmap for North's agent harness, including the agent loop, context engineering layer, tool orchestration, sandbox execution, and sub-agent delegation
- Serve as the primary interface between North engineering and Cohere's Modeling team, ensuring new harness capabilities are validated before being built and that neither team paints itself into a corner
- Own North's agentic evaluation framework, ensuring evals are compatible with both the North harness and Modeling's training infrastructure, and that they serve as a reliable bridge between product and research
- Engage enterprise customers to surface real-world agentic failures and translate findings into concrete product and model requirements
- Stay current with the open-source and commercial agent ecosystem and drive adoption decisions that keep North's architecture aligned with emerging standards.
Requirements
- 5+ years of product management experience in agentic AI systems, developer infrastructure, or applied ML products
- Deep understanding of modern LLM agent architectures, including multi-agent systems, tool-augmented reasoning, memory and retrieval, programmatic orchestration, RAG, and long-horizon execution
- Strong grasp of agentic evaluation design, including how to measure task completion, failure recovery, and long-horizon reliability, and how to diagnose model vs. scaffolding gaps
- Technically deep enough to contribute to architecture decisions at the implementation level: comfortable reviewing and shaping design docs, reasoning about async execution patterns, sandboxed environments, filesystem design, and the tradeoffs that come with building harness capabilities into a production platform
- Ability to flex between ML research conversations and engineering architecture discussions with equal fluency
- Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability.
Benefits
- An open and inclusive culture and work environment
- Work closely with a team on the cutting edge of AI research
- Weekly lunch stipend, in-office lunches & snacks
- Full health and dental benefits, including a separate budget to take care of your mental health
- 100% Parental Leave top-up for up to 6 months
- Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
- Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
- 6 weeks of vacation (30 working days!)
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