Business Systems Engineer

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. 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 We’re looking for a Business Systems Engineer to own the systems that turn a signed deal into a correct invoice and accurate revenue numbers. You’ll work across our go-to-market and finance stack: CRM, quoting and CPQ, billing, the data warehouse, and the integrations between them. Salesforce is one important part of that stack, not the whole job. This is an engineering role with business ownership: you’ll design how data and money move between Sales, Finance, Billing Ops, and Data teams, build the automation that keeps them in sync, and use AI to remove manual work and surface timely signals to reps and operators. You’ll partner closely with Sales, Deal Desk, Billing Ops, Revenue Accounting, and Data Engineering. This role is based in one of San Francisco or New York City. 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 - The big bet: Create a reliable GTM and quote-to-cash foundation across CRM, CPQ, billing and finance systems, marketing automation infrastructure, the data warehouse, and the integrations between them. - By day 90, build a clear understanding of the critical data flows between GTM systems, finance systems, and the warehouse, then ship an initial improvement to a high-value integration or workflow. - By day 90, develop AI-powered and agent-based workflows that reduce manual work for reps, Deal Desk, and Billing Ops while improving the quality of signals available to reps and operators. - By the end of your first year, automate billing-critical workflows such as upgrades and prorated refunds, early renewals, true-ups, and credit deferment, with audit trails Finance can trust. - By the end of your first year, improve data integrity and reporting through clear data models, deduplication, validation rules, reconciliation, and monitoring—including accurate ARR, pipeline, dashboard, and forecasting infrastructure. - Raise the bar for how the team ships and operates: sound access, change management, and release practices; thoughtful documentation and tool decisions; reusable tests, runbooks, code review, and AI-assisted development practices. SKILLS YOU’LL NEED TO BRING - Demonstrated experience in business systems engineering, GTM engineering, revenue operations, or a technical sales or marketing operations role, with the ability to own problems end to end and work effectively across functions. - Strong SQL skills and experience working with a data warehouse such as Snowflake or BigQuery; you design for clean, traceable data and understand how to protect its integrity across systems. - Experience building integrations with APIs, webhooks, event-driven services, reverse ETL, or automation pla