I picked one of the more common connectors thinking it'd be easier to talk about, but that backfired a bit because the interviewers clearly expected more nuance than just 'it syncs your data from X to your warehouse.' Had to get into schema handling, sync frequency, incremental vs full refresh tradeoffs.
Choose a connector you know well, such as Salesforce or Google Analytics, and structure your presentation around the customer problem, the technical solution, and the business impact. Role-play as the PM by explaining key decisions, trade-offs, and how you'd measure success, while keeping the audience (likely engineers and stakeholders) in mind.
Pro tip: Show you understand Fivetran's core value of reliable, zero-maintenance pipelines by highlighting how the connector handles schema changes, API limits, and incremental syncs without customer intervention.
Briefly introduce the connector, the source system it connects to, and the typical customer use case. Explain why this connector matters to Fivetran's mission.
Describe how the connector works: authentication, data extraction methods (API, CDC, etc.), handling of rate limits, pagination, and schema evolution. Mention incremental syncs and error handling.
Discuss key PM decisions such as supporting specific API endpoints, choosing sync frequency, or managing schema drift. Explain trade-offs between completeness, latency, and cost.
Outline how you would measure the connector's success: adoption rate, sync reliability, latency, customer satisfaction, and support ticket volume.
Suggest potential improvements or new features based on customer feedback or market trends, showing forward-thinking product ownership.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.