C
$160,000 – $320,000
Listed on Cohere’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role owns the execution layer of Cohere's North agentic AI platform, managing how AI agents plan, act, and persist across complex enterprise workflows. It sits at the intersection of agent runtime engineering, context management, and model development, requiring someone who can speak fluently to both research and systems design.
Our summary, not Cohere’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 5+ years product management experience in research PM, agentic AI systems, or applied ML products
- Deep understanding of agentic harnesses and 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 and diagnosing model vs. scaffolding gaps
- Technical depth to contribute to architecture decisions: comfortable with design docs, async execution patterns, sandboxed environments, and filesystem design
- Fluency across ML research and engineering architecture discussions
- Track record of shipping platform-layer products with demonstrated impact on reliability, performance, or capability
Nice to have
- Direct experience developing and shipping leading agentic harnesses
- Active practitioner regularly building with open-source harnesses, coding agents, and orchestration tools
- Hands-on experience with enterprise agentic deployments including multi-tenant orchestration, tool permissioning, audit trails, and compliance
- Familiarity with on-premises environments, scalability challenges, and air-gapped infrastructure constraints
- Prior work translating nascent model capabilities into shipped product features
- Background working within or closely alongside ML research or post-training teams