Notion
Mid
Full-stack platform engineer on Notion's Data Product Platform team, powering search, automations, and Notion AI
Notion's Data Product Platform team builds and operates the event-based and data-powered systems that underpin product features like search, automations, notifications, workspace analytics, and Notion AI. This card focuses on cross-stack ownership (infrastructure through product code), a data-driven operating style using metrics/traces/logs, and building ergonomic developer and agentic tooling for other engineering teams — all directly grounded in the JD's stated responsibilities.
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What this interview tests
- Full-stack ownership: infrastructure, libraries, and product code
- Data-driven diagnosis using metrics, traces, logs, and experiments
- Designing ergonomic developer/agentic tooling and APIs for other engineers
- Operating production systems with minimal disruption
- Pragmatic tradeoffs between craft, speed, and business impact
Common question themes
Describe a bug or requirement you traced from the product surface down into infrastructure or data flow
How do you use metrics/traces/logs to validate a hypothesis before building a fix
Tell me about an API or internal tool you designed that was hard for other engineers to misuse
How have you safely evolved a critical production system with minimal user disruption
Give an example of prioritizing a pragmatic solution over a more elegant one because of business impact
How would you approach scaling an event-based platform through an order-of-magnitude growth in data volume
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