Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Founded in 2005, we combine deep expertise in revenue management with modern software, machine learning, and AI — and in Hospitality, we're building products that redefine what modern revenue management looks like for hotel operators navigating pricing, demand, and competitive complexity.
As a Senior Full-Stack Software Engineer, you'll own end-to-end delivery across our analytics platform, turning complex pricing and revenue problems into reliable, production-grade software. You'll partner closely with product, science, and engineering, set technical direction, and mentor other engineers. AI tooling is part of how we work every day, and you'll help us push what it can do.
What You Will Do
Own full-stack features from start to finish — partnering with Product on discovery, building across our Python back-end and Angular front-end, and supporting your work in production.
Partner with product managers to turn ambiguous business problems into well-scoped, high-impact software — deciding what to build, and what not to.
Design and scale the data systems behind our products, working with large, sometimes messy datasets across AWS and our data lake.
Build AI/ML and LLM-powered features into the product, and own the full lifecycle — from prototyping through evaluation, monitoring, cost, and reliable production performance.
Mentor engineers and raise the team's bar through pairing, code review, and everyday craft.
What You Will Bring
7+ years shipping production software full-stack, ideally in a SaaS / multi-tenant environment.
Strong CS fundamentals and fluency in a core language (Python preferred).
Deep experience with large datasets — strong SQL, relational databases (PostgreSQL/Redshift), and data lakes on AWS (S3, Athena, Lambda).
Front-end development (Angular or similar), able to own features end to end.
AI/ML and LLM fluency, including building AI/ML features into products.
Demonstrated use of AI coding assistants (Claude Code, Cursor, Copilot) to accelerate delivery while improving quality.
Demonstrated technical leadership and mentoring.
Preferred Qualifications
A track record of making large-data systems materially faster or cheaper, with measurable impact.
Strong system-design judgment with distributed systems at scale.
Hospitality technology experience and/or a background in revenue management, pricing, or forecasting.
