Cohere
Mid
Own the integrations surface for Cohere's North agentic AI platform — connectors, auth, and platform primitives
This interview is for a PM role owning North's (Cohere's agentic AI platform) integrations end to end — CRM, ITSM, productivity suites, data warehouses, and identity connectors — plus the underlying platform capabilities (connector framework, auth/identity, tool-use, data sync, permissioning) that don't yet exist. Expect deep platform/API product questions, partner and enterprise-customer scenarios, and technical fluency checks on integration architecture, since this is a dual mandate of shipping connectors and building reusable platform primitives.
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What this interview tests
- Platform/API and integrations/connector product strategy
- Balancing per-customer integration work vs. reusable platform primitives
- Technical fluency: auth, identity, data models, integration architecture
- Forward-deployed engineering and high-stakes enterprise customer partnership
- Developer/partner experience design (APIs, SDKs, docs) and adoption analytics
- AI-first product management in an agentic AI / enterprise security context
Common question themes
How would you decide whether a customer's integration request becomes a one-off or a reusable platform capability?
Design the roadmap for North's integration ecosystem — how do you prioritize which connectors to build first?
Walk through a connector, integration, or platform product you shipped — what moved adoption or retention?
How would you define the auth/identity and permissioning model for agents accessing customer systems (CRM, data warehouses)?
Describe working directly with a strategic enterprise customer to define an integrations-based workflow
What metrics would you instrument to track developer/partner time-to-stand-up and adoption?
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