Cohere
Product Manager, Agent Harness & Modelling
Remote (Worldwide)RemotePosted Today
Full TimeRemote
See how this job matches your profile
Sign in for an AI-powered fit score, breakdown, and a tailored resume.
Job Description
Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences
Key Highlights
- 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.
Qualifications
Required Qualifications
- 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.
- 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.
About the Company
Cohere
View company profile →
Interested in this role?
Sign in or create a free account to see how this job matches your skills, apply with one click, and let our AI tailor your resume.
Sign in to applyAI-powered resume optimization
Save and track your applications
Job Details
Employment Type
Full Time
Location
Remote (Worldwide)
Work Mode
Remote
Posted
Today