Product Manager, Agent Harness & Modelling
Cohere · Toronto · London · New York · Montreal
CHECKED 36M AGO
Frontier labremotesenior$160k–$320k
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