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Principal Product Manager, Agentic Operations
Posted Sep 23, 2026 · We last checked this listing on Oct 6, 2026
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Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a zero-to-one product you built. How did you find the first customers?
What they are checking: Whether they have the experience and energy to start a product line from nothing.
How do you work with engineering when the technology is changing every few months?
What they are checking: Whether they can keep a roadmap useful while adapting to fast change in AI capabilities.
How would you explain agentic AI to a claims executive who has never seen it work?
What they are checking: Whether they can make a complex idea concrete and credible for business buyers.
What would you do
A carrier is excited about agents but its compliance team is nervous. How do you move forward?
What they are checking: Whether they can address regulated-environment concerns honestly and design for them from the start.
An agent makes a mistake on a live claim during a pilot. What do you do?
What they are checking: Whether they respond with transparency, containment and learning instead of minimizing the problem.
What claims workflows would you go after first, and why?
What they are checking: Whether they can choose a starting point that balances value, feasibility and risk.
About the work
How would you decide which claims tasks an AI agent should handle end to end and which still need a person?
What they are checking: Whether they think carefully about risk, accuracy and human oversight in high-stakes claims work.
What does it mean for an agent to safely take action inside a carrier's existing workflows?
What they are checking: Whether they understand permissions, audit trails and failure handling for agents acting in real systems.
How would you build the commercial case for a new agentic product line?
What they are checking: Whether they can tie product strategy to revenue, pricing and customer value, which they will own.
How do you measure whether an AI agent is actually doing good work?
What they are checking: Whether they think about evaluation, quality checks and real outcomes, not just automation rates.
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Practice this out loudThe full job description
As published by CCC Intelligent Solutions.