Revenue Analytics - Senior Software Engineer
Requirements
• 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.
Responsibilities
• 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. • 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.
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