About the role
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
About
the Role: Notion is hiring a Revenue Transformation Analyst to help scale our revenue accounting operations as the business grows and our systems and processes evolve. You’ll own well-scoped process and tooling improvements end-to-end — partnering closely with Revenue Accounting and Systems Engineering to reduce manual effort, strengthen controls, and make close execution more predictable. A concrete example of the work: turning a messy close workflow (recons, tie-outs, variance analysis, and control narratives) into clear
requirements, durable documentation, and changes that actually stick. This role is based in San Francisco. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside
the team during those days. What You'll Achieve: Big bet: Make revenue close measurably more predictable by reducing manual effort and operational risk in the workflows Revenue Accounting relies on most. By day 90: Diagnose and map 1–2 highest-friction revenue close workflows (recons, tie-outs, variance analysis, documentation), align on “better,” and ship an initial improvement with clear adoption and evidence expectations. By day 90 (AI leverage): Implement a controlled AI-assisted workflow for repeatable analysis and documentation (e.g., variance investigation scaffolds, documentation drafts, checklist QA) with review steps, controls, and audit-ready artifacts. By end of year 1: Deliver 2–3 durable process/tooling improvements that materially reduce recurring close effort and error risk, with clear ownership and “new way” documentation that holds up through multiple closes. By end of year 1: Raise the bar on operational rigor (