Notion
Software Engineer, AI Capture
About this role
Notion is hiring a Software Engineer to build and expand their AI Meeting Notes product, turning conversations into actionable context and knowledge for teams. You'll own full-stack features from audio capture through summaries and agent-driven workflows, while improving reliability and enterprise capabilities for this fast-growing product.
What you'll do
- Ship end-to-end product experiences across the capture-to-follow-up pipeline with full ownership
- Enhance meeting capture UX with features like speaker identification and intelligent organization
- Improve summary quality, factuality, and citations for downstream agents and users
- Build reliability and observability for realtime pipelines, including SLOs and incident response
- Develop agentic workflows that convert meeting discussions into tasks and organized knowledge
- Deliver enterprise-grade features including permissions, compliance, and scalability
What they're looking for
- 10+ years shipping production software with end-to-end feature ownership
- Full-stack engineering (frontend and backend)
- Production systems operation and debugging
- Product-minded approach with attention to detail and data-driven decisions
- Cross-functional collaboration and execution in ambiguous spaces
- Curiosity about AI tools and willingness to adopt them
- LLM/applied AI product development (nice to have)
- Media and realtime pipelines experience (nice to have)
Benefits
- Competitive base salary ($272,000 - $320,000 for San Francisco)
- Equity compensation
- Comprehensive benefits package
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Notion
Notion builds an AI-powered collaborative workspace platform used by millions for productivity, featuring capabilities like search, automations, and AI-assisted features. The company is hiring software engineers for core product and AI development, technical support engineers for enterprise customers, data platform engineers for foundational systems, and security engineers for infrastructure and AI safety initiatives.
- Website
- notion.so
Likely interview questions
- Walk us through an end-to-end product feature you shipped from conception to production. How did you handle the full-stack ownership across frontend and backend?
- Describe your experience building and operating production systems. What's an incident you debugged, and how did you improve reliability afterward?