Revenue Analytics

SaaS revenue management and pricing solutions

Senior Full-Stack Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeAtlanta, GA, USANo salary listedRemote

About the Job

Requirements

At least 7 years of experience shipping production software full-stack, ideally in a SaaS or multi-tenant environment.
Strong computer science fundamentals and fluency in a core programming language, with Python preferred.
Deep experience with large datasets, strong SQL skills, relational databases such as PostgreSQL or Redshift, and AWS data lakes using S3, Athena, and Lambda.
Front-end development experience with Angular or a similar framework, including owning features end to end.
Fluency with AI/ML and large language models, including building AI/ML features into products.
Demonstrated use of AI coding assistants such as Claude Code, Cursor, or Copilot to accelerate delivery while improving quality.
Demonstrated technical leadership and mentoring.

Responsibilities

Own full-stack features from discovery through production support, partnering with Product and building across the Python back end and Angular front end.
Partner with product managers to translate ambiguous business problems into well-scoped, high-impact software and decide what to build.
Design and scale product data systems, working with large and sometimes messy datasets across AWS and the data lake.
Build AI/ML- and large-language-model-powered product features and own their lifecycle from prototyping through evaluation, monitoring, cost management, and reliable production performance.
Mentor engineers and raise the team's technical bar through pairing, code review, and everyday engineering craft.

Desired Qualifications

A track record of making large-data systems materially faster or cheaper, with measurable impact.
Strong system-design judgment and experience with distributed systems at scale.
Hospitality technology experience and/or a background in revenue management, pricing, or forecasting.

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.

About the Company

Revenue Analytics

SaaS revenue management and pricing solutions

Revenue Analytics provides SaaS-based pricing and revenue management software for industries including hospitality, manufacturing, distribution, private equity, media, and passenger rail. The platform analyzes data and recommends prices, promotions, and yield strategies, integrates with a company’s data, runs scenarios, and delivers actionable guidance to maximize revenue. It differentiates itself by serving a broad set of industries with tailored pricing solutions, combining software with ongoing analytics and support to deliver measurable results. Its goal is to help businesses improve profitability and forecasting through precise, scalable pricing decisions and revenue optimization.

Company size: 51-200
Company stage: Series A
Total funding: $11M
Headquarters: Atlanta, GA
Founded: 2005

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