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 were 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 youll own end-to-end delivery across our analytics platform turning complex pricing and revenue problems into reliable production-grade software. Youll 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 youll 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 teams 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 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.
Required Experience:
Senior IC
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 were building products that redefine what modern...
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 were 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 youll own end-to-end delivery across our analytics platform turning complex pricing and revenue problems into reliable production-grade software. Youll 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 youll 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 teams 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 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.
The pioneers of Revenue Management, Revenue Analytics offers next-gen Revenue Management software to help companies solve their complex pricing problems.
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