Notion
Software Engineer, Collections Experience
About this role
Join Notion's Collections Experience team to build and evolve the database block—the foundation for modeling work in Notion. You'll design new properties, views, and permission systems while collaborating across product and design to ship features that scale from simple lists to complex workflows.
What you'll do
- Design and ship new database properties and views to expand Notion's modeling capabilities
- Develop permission models that scale for large enterprise customers
- Partner with the Agent team to enable AI capabilities for database operations
- Collaborate with product and design to scope and execute ambiguous features
- Raise code quality standards through code review and technical design leadership
- Own features end-to-end across the full stack
What they're looking for
- 10+ years shipping production software
- TypeScript fluency (frontend and backend)
- Strong product instincts and scope management
- Experience with data models, databases, or permissions systems
- Full-stack development across UI and data layers
- Technical judgment on system design decisions
- Collaborative problem-solving with ambiguous requirements
- Curiosity about AI tools and LLM-driven experiences
Benefits
- Competitive cash compensation ($213,000 - $320,000 base for SF/NYC)
- Equity package
- Comprehensive benefits
- Collaborative team of 8+ engineers, designers, and PMs
- Work across multiple office locations (SF and NYC)
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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 a time you owned a feature end-to-end that involved complex data model decisions. How did you think through the tradeoffs, and what long-term consequences did you have to account for?
- Describe your experience building or working on database, spreadsheet, or similar tools. What were the hardest technical challenges around modeling flexibility and scalability?