Explaining a Fivetran data connector end to end in a PM presentation
Company: Fivetran
Role: Product Manager
Category: Software Engineering Fundamentals
Difficulty: medium
Interview Round: Other
You are a product manager at Fivetran. Pick one of Fivetran's connectors and build a presentation that explains it.
```hint Lead with the customer's problem
Choose a connector whose sync you can walk through step by step, then set the depth by who is in the room. The mechanics matter most where they change what the customer has to configure, watch or pay for.
```
### Clarifying Questions
- Who is the audience: a prospect's data engineers, Fivetran's sales and support teams, or leaders deciding where the connector goes next?
- How long is the slot, and is it slides followed by Q&A?
- May I pick any connector, whether a database source, a SaaS application or a file source, or do you have a type in mind?
- Should the deck end with recommendations for improving the connector, or only explain how it works today?
### What a Strong Answer Covers
- A deliberate choice of connector and audience, with the reason for both
- The problem the connector solves and the people who depend on it
- How a sync works end to end: setup, initial load, incremental changes, deletes, schema changes and recovery after a failure
- The limits, risks and costs a customer should understand before relying on it
- How the PM would measure the connector's health and adoption, and what to improve next
### Follow-up Questions
- A customer reports that row counts in the warehouse don't match the source. How would you walk them through finding the cause?
- With many sources requested by customers, how would you decide which connector to build or improve next?
- The source changes its API or schema in a breaking way. How should the connector, and the product team behind it, respond?
Overview: A product manager interview prompt asking you to pick one Fivetran connector and present it. It tests whether you can explain the customer problem a data connector solves, how its syncs work from the initial load through incremental changes, and the limits, costs and health metrics a PM should own.