Drive Cohere's ML infrastructure program portfolio — inference, serving, efficiency, and endpoints — across a fast-moving, low-structure org

Cohere is hiring a Senior TPM to own the program portfolio for its ML infrastructure (inference, efficiency, serving, endpoints), coordinating cross-functionally between Modeling and customer-facing teams while bringing structure to a chaotic, rapidly scaling environment. This interview focuses on technical program leadership at the intersection of ML systems and organizational execution: prioritization under overlapping programs, incident/root-cause process, and translating deep technical detail into clear updates for both engineers and non-technical leadership.

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What this interview tests

Technical program management across ML inference, serving, efficiency, and endpoints
Cross-functional coordination between Modeling and customer-facing teams
Prioritization and scope management across overlapping, competing programs
Incident management and root-cause-driven process improvement
Operating effectively in a low-structure, high-growth, ambiguous environment
Communicating technical infrastructure tradeoffs to both engineers and leadership