Senior Software Engineer

Revenue Analytics, Inc.; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Revenue Analytics is a SaaS company redefining revenue management for hospitality by applying pricing, forecasting, and ML-driven insights. We seek a Senior Full-Stack Software Engineer to own end-to-end delivery of our analytics platform.

You will partner with Product, Science, and Engineering to build across Python backend and Angular frontend, and you will mentor other engineers. You’ll drive AI tooling into production and ensure scalable, reliable software on AWS.

Qualifications

• 7+ years shipping production software full-stack in SaaS/multi-tenant environments.
• Strong CS fundamentals; fluency in Python.
• Experience with large datasets; SQL/Relational DBs and AWS data lakes (S3, Athena, Lambda).
• Front-end ownership (Angular or similar).
• AI/ML and LLM fluency; integrating AI features.

Responsibilities

• Own full-stack features from discovery to production, across Python backend and Angular frontend.
• Collaborate with Product to scope work and decide what to build.
• Design and scale data systems across AWS and data lakes.
• Build AI/ML and LLM-powered features, manage lifecycle from prototype to production.
• Mentor engineers and improve team practices.

Skills

Full-stack

Python

SQL

PostgreSQL

Redshift

AWS

Angular

AI/ML

LLM

Leadership

Tools

Claude Code

Cursor

Copilot

Job description

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.

Who We Are

A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.

Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.