Revenue Intelligence Engineer

Greenhouse

5h•$128,300 - $180,000•Remote

About The Position

Our mission at Greenhouse is to make hiring work for everyone – so we go to great lengths to hire great people because we believe that they’re the foundation of our success. At Greenhouse, you’ll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can achieve our mission. Join us to do the best work of your career, solving meaningful problems with remarkable teams. Greenhouse is looking for a Revenue Intelligence Engineer to join our Revenue Operations team! As the Revenue Intelligence Engineer, you’ll work closely with the Senior Manager, Revenue Operations to bridge the gap between engineering and business logic, translating real world requirements into deployed software that drives productivity across the entire Customer Growth & Success (CGS) lifecycle. You will play a foundational role in designing, building, and scaling our internal web applications used by multiple teams. Our initial build is a workflow automation and insights platform serving all GTM teams.

Requirements

3+ years of direct experience working in a dedicated Revenue Engineering role or a highly technical Revenue Operations capacity
Demonstrated experience using AI tools to build and extend applications for internal revenue and CGS teams (i.e. Claude Code,ChatGPT, Cursor, etc)
Software development experience using a modern tech stack (i.e. Python, Node.js, Next.js, Typescript, React, etc)
Development and integration infrastructure experience working inside Salesforce
Practical application architecture experience utilizing lean backend-as-a-service (BaaS) and modern hosting platforms (i.e. Supabase, Firebase, AWS Amplify, Vercel, Railway, Render)
Strong interpersonal and communication skills, with a demonstrated ability to present clear technical software solutions to non-technical business stakeholders
Applicants must be currently authorized to work in the United States on a full-time basis.

Nice To Haves

Deep technical familiarity or custom API integration experience with tools like Gong and/or Outreach, a plus
Prior professional experience operating inside a fast-scaling B2B SaaS business model, a plus
Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply

Responsibilities

Design, build, and extend new product features for our internal web app utilizing a modern tech stack composed of Next.js, TypeScript, Supabase, and Vercel
Build, test, and maintain robust, production grade data pipelines and automated integrations between core revenue engines like Salesforce and Gong
Partner directly with Customer Growth & Success (CGS) stakeholders across SDR, AE, AM, and CSM teams to translate their daily business pain points into an actionable engineering roadmap
Evaluate, refine, and operationalize LLM prompts, open source AI frameworks, and third-party tools to optimize the validity and actionability of output data
Document foundational technical architecture decisions and write clear operational playbooks so that your standalone systems can be easily maintained by the broader team over time
Coordinate periodically with data engineering, security, and the Enterprise Apps team to ensure internal tooling integrates seamlessly with global corporate infrastructure