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← Cohere

Product Manager, Agent Harness & Modelling

Cohere · Toronto · London · New York · Montreal

CHECKED 36M AGO

Frontier labremotesenior$160k–$320k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own the execution layer making North agents reliable and production-ready.
  • Own how agents manage context as a deliberately controlled resource.
  • Own feedback loop between North harness and Modeling team.

What they offer

  • Competitive compensation, equity options
  • Weekly lunch stipend of $75/£75 or equivalent
  • Full health and dental benefits, including mental health budget
  • RRSP matching, 401K, Pension Scheme
  • 100% Parental Leave top-up for up to 6 months
  • Annual enrichment and education benefits
  • 6 weeks of paid vacation
  • $500 home office stipend
  • Co-working benefit and travel budget plus annual offsite

Ideal candidate

A technically deep product leader obsessed with agent reliability who thrives at the research-engineering interface and loves turning real-world enterprise failures into robust platform capabilities.

Requirements

  • 5+ years of product management experience as a research PM, in agentic AI systems, or applied ML products
  • Deep understanding of agentic harnesses, including latest paid and open source offerings
  • 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 task completion, failure recovery, and long-horizon reliability, and diagnosing model vs. scaffolding gaps
  • Technically deep enough to contribute to architecture decisions at implementation level
  • Ability to flex between ML research conversations and engineering architecture discussions
  • Track record of shipping platform-layer products with impact on reliability, performance, or capability
remote policy
remote-friendly

Lab profile

About Cohere

Security-first enterprise AI company building frontier foundation models for business applications.

What they build

  • Command foundation models
  • Embed models
  • Rerank models

Known for

  • Security-first enterprise AI
  • Frontier model training and deployment
  • Business-focused end-to-end products

Key facts

  • Founded in 2019
  • Headquartered in Toronto, Canada
More about Cohere →
Apply on the lab’s site ↗