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Cohere

Senior

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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这场面试考什么

  • 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

常见提问方向

Describe a program you ran to scale ML infrastructure (inference/serving/endpoints) for a growing user base

Tell me about an incident you drove to root cause and how you ensured the fix landed

How do you prioritize when multiple overlapping programs compete for the same engineering time

Describe reconciling conflicting priorities between a modeling team and a customer-facing team

How do you bring structure to a chaotic, fast-moving organization without becoming a blocker

Explain a technical ML infrastructure tradeoff to a non-technical stakeholder

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