Staff Software Engineer, Revenue & Billing
- Market p25–p75
- $205k–$284k
- Rillet p25–p75
- $204k–$263kn=4
- Opened · 30d
- +0
- Closed · 30d
- −1
- Opened · 7d
- +6717% of open
- All software engineering
- 75,430open
What We Do
Rillet serves accounting and finance teams, the financial brains of their companies. Our job is to help them run the numbers with impossible speed, accuracy, and insight.
Rillet is the Agentic ERP built for modern finance teams. We help companies automate the most critical parts of finance, from closing the books and recognizing revenue to consolidating entities and reporting to investors. More than 600 companies run on Rillet, including Mercor, Scribe, and Function Health, and we partner with leading accounting firms including EY and KPMG.
We’re building in one of the largest software markets in the world, with the momentum to match. Rillet has raised more than $200M, is valued at $1B, and is backed by Sequoia, a16z, ICONIQ, Bain Capital Ventures, Oak HC/FT, and other leading investors. We’re using that backing to build the financial infrastructure for the next generation of companies and help every business run its numbers at the speed of AI.
Who We Are
Rillet’s pace is not for everyone. Intelligence is table stakes. To succeed here, you need extreme speed, agency, and flexibility.
The people who thrive at Rillet do not wait for assignments. They internalize the mission, design a strategy, and bring back results that are better, faster, and more creative than a manager could have asked for.
Our work revolves around our customers. The people who succeed here are energized by delivering what matters most, even when it was not part of the original plan.
Rillet is built on deep accounting expertise, and it takes people from many disciplines to build a category-defining company. You do not need to be an accountant to thrive here. You do need to care deeply about the problems we solve and the impact our customers can create. Together, we combine the precision of accounting with the speed, creativity, and ambition of AI-native software to power the financial core of the world’s fastest-growing companies while redefining what finance teams should expect from their software.
Who we need
Rillet is building accounting and finance software for teams that need to move quickly and trust their numbers. We're looking for a Staff Software Engineer to be a hands-on technical leader on our Revenue, Accounting & Tax (RAT) team, led by Victoria Zheng.
RAT owns billing, revenue recognition, tax integrations, and the financial data layer behind these workflows. You'll help turn complex contracts and financial rules into reliable systems and clear product experiences. This is a role for someone who can set technical direction, make difficult tradeoffs, and stay close to implementation.
What you'll do
Own significant product and technical problems across billing and revenue, from clarifying requirements and designing the data model through implementation, rollout, and production support.
Shape the architecture behind contracts, pricing, invoicing, amendments, revenue recognition, and related tax workflows. Make the behavior accurate, explainable, and easier to extend.
Improve the reliability and performance of financial workflows as customer complexity and data volumes grow. Build strong validation, testing, and observability into the systems you own.
Partner with product, design, accounting experts, and customer-facing teams to make sound tradeoffs and deliver work that solves real customer problems.
Work across the stack, with a strong backend focus and the willingness to build the interfaces customers use to understand and manage their financial data.
Use AI to amplify your impact and deliver more value to our customers.
Raise the team's technical bar through design reviews, code reviews, mentoring, and hands-on collaboration. Help other engineers take on larger problems and make better decisions.
Who we're looking for
10+ years of software engineering experience, or equivalent depth and impact, with a track record of leading complex product systems from ambiguous problem to production outcome.
Strong backend and architectural fundamentals. You can reason about data modeling, correctness, system boundaries, performance, and safe changes to existing systems.