Notion
Mid
AI Product Engineer at Notion — building the LLM-powered Custom Agents that automate recurring team workflows
This role builds the AI-powered features behind Notion's Custom Agents, which automate recurring workflows like filing tasks, writing reports, and answering knowledge-base questions. It's framed as an 'AI Product Engineer' position emphasizing prototyping with LLMs and embeddings, productionizing async workflows at scale, and cross-functional collaboration with AI, Infrastructure, and Product teams. The JD does not specify a hard years-of-experience floor for the core bar, though the nice-to-haves reference 10+ years as a stretch signal, so this reads as a mid-level bar with room for a strong generalist.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- Building AI product features using LLMs, embeddings, and other ML technologies
- Productionizing and scaling asynchronous workflows
- System design from UI through data model, with relational databases (Postgres/MySQL)
- Decomposing ambiguous problems into clean, shippable solutions
- Cross-functional collaboration with AI, Infrastructure, and Product teams
- Communicating technical decisions clearly to varied audiences
常见提问方向
Walk through an AI feature you built end-to-end using LLMs or embeddings, from prototype to production
How did you scale an asynchronous workflow that started as a quick prototype
Describe a time you had to decompose a genuinely ambiguous problem into a concrete plan
Tell me about a technical decision you had to explain clearly to a non-engineering stakeholder
How do you think about the real-world impact of an AI feature on users, good and bad
Describe a disagreement with a teammate about technical approach and how you resolved it
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