Job Opportunities API

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. This role is primarily responsible for designing, developing, engineering, deploying, and maintaining computer-based information systems and AI-enabled internal applications. Our initial build is a workflow automation and insights platform serving all GTM teams. Who will love this job A Builder - You thrive in a lean environment where you have high ownership, high velocity, and the technical discretion to choose what to build and how to build it using modern AI tools An Internal Advisor - You enjoy collaborating directly with revenue business leaders, using your technical acumen to patiently cut through ambiguous requirements and lead with confident product recommendations A Problem Solver - You are motivated by challenges and love finding the right solution for your team, shipping custom features that immediately solve user friction An AI Enthusiast - You have a passion for AI assisted development, using tools like Claude Code to build useful tools for your team What you’ll do 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 You should have 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 Deep technical familiarity or custom API integration experience with tools like Gong and/or Outreach, a plus Prior profess