Software Engineer at Notion, developing AI Meeting Notes and data capture features. Focused on building innovative tools for efficient team collaboration and information management.
Make meeting & data capture feel effortless and magical (e.g., speaker identification via audio waveforms, richer in-meeting UX, smarter organization).
Improve summary quality that teams trust: structure, factuality, and citations that make downstream agents and humans more capable.
Raise the bar on reliability & observability across the pipeline (SLOs, debugging workflows, incident response) for realtime systems.
Build agentic meeting workflows that turn discussions into tasks, follow-ups, and organized knowledge — so “we talk and things get done.”
Deliver enterprise readiness: sharing/permissions, compliance, and scalability for our fastest-growing customers.
Requirements
Strong full-stack engineering skills (frontend + backend) and excitement to own user-facing product end-to-end.
Product-minded craftsmanship: you sweat details, iterate quickly, and use data and user feedback to guide decisions.
Experience building and operating production systems (debugging, on-call/incident response, performance, and reliability).
Ability to work across ambiguous problem spaces, align stakeholders, and drive execution with high ownership.
You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results.
Nice to Haves:
- Experience with LLM / applied AI product development (prompting, evals, model integrations, or quality measurement).
- Experience with media / realtime pipelines (audio, transcription, diarization, streaming, low-latency processing).
- Experience building for enterprise customers (permissions models, compliance, scale, and security).
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