Recent Product Manager Interview Questions

Tracy M. - "Clarify LLM purpose; research, extraction, reasoning, planning, assessing? Assuming document extraction skill only, large db, multiple doc types, unstructured data; assuming Haiku-2.5 (less complex tasks) and LLM parsing tool exists pre-extraction call. Assuming golden dataset for ref is accessible, experiments and observability set in place. Likewise prompts. Eval set:document extraction coverage: % of accurately extracted (doc type, structured outputs) document field/value/format coverage"See full answer

Kirill K. - "DevOps it's bridge (methodology) between the Dev\Qa\etc(tech teams) and Ops to satisfy the business requirements, reduce the costs, reduce time to market, etc ..."See full answer

Mrigang S. - "Starting with Clarifications Before jumping in, a few things I'd want to nail down: What are we actually optimizing for here — is it Retention, Engagement, or something like Average Order Value? Are we talking about the app or the website? Any specific geography in mind? For this answer, I'm going to assume we're focused on improving Retention and Engagement on the mobile app in India. That's where I think the most interesting problem space lives. The User Journey I'm Working Wi"See full answer

NKM - "In my previous role as a Technical Integration Lead, the business wanted a notification feature to alert clients about new clients or documents. They wanted real-time in-portal notifications and daily email summaries at 7am. I built a Kafka listener to catch events, saving them in the DB with a "new" status. For logged-in clients, I used WebSocket to push notifications to their portal. The system checks for new docs/clients on page load and displays them. For emails, I set up a Stone branch sche"See full answer