The opportunity
Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there.
What you'll do
Bring new frontier models into production quickly, making them available for our users and our engineers.
Make inference reliable: better error categorization, self-healing retries, and cross-provider failover.
Own observability for the model layer, driving down both time to detection and time to fix.
Build new model-level capabilities and help product teams adopt them.
Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner.
Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now.
What they're looking for
- AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't.
- Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production.
- Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data.
- Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality.
