Product Manager, Agent Harness & Modelling

Cohere
Toronto, London, New York, Montreal
Workplace: RemoteFull timeFunction: Product ManagementExperience: 5+ yearsSkills: ["Communication","Cross-functional collaboration","Problem-solving","Strategic thinking"]

Product Manager for Cohere's North agent harness, owning the execution layer, context engineering, and model-scaffolding co-evolution. You will define roadmaps for agent runtime, tool orchestration, sandbox execution, and evaluation frameworks, bridging Cohere's Modeling team with North engineering while engaging enterprise customers and staying aligned with open-source and commercial agent ecosystems.

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Cohere
Cohere
4 months ago

Product Manager, Agent Harness & Modelling

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Last checked: 21 hours agoStatus: Live

Job Summary

Product Manager for Cohere's North agent harness, owning the execution layer, context engineering, and model-scaffolding co-evolution. You will define roadmaps for agent runtime, tool orchestration, sandbox execution, and evaluation frameworks, bridging Cohere's Modeling team with North engineering while engaging enterprise customers and staying aligned with open-source and commercial agent ecosystems.
Location: Toronto, London, New York, Montreal
Workplace: Remote
Employment Type: Full time
Job Function: Product Management

Key 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

Pay and Benefits

Perks:Health InsuranceDental

Key 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
Experience:5+ yearsAIEnterprise AISaaS
Skills:CommunicationCross-functional collaborationProblem-solvingStrategic thinking
Tech Stack:LLMAgent frameworksSandboxMulti-agent systemsRAG

Company Brief

Cohere
Builds security-first foundation models and enterprise AI products (LLMs, retrieval, agent platforms) for regulated industries, enabling customizable, private deployments across cloud and on-premises for real-world business applications.
Industry: AI & Machine Learning
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series D
Headquarters: Toronto, Canada
Founded: 2019
Glassdoor
Glassdoor: 2.9
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