Revenue Intelligence Engineer

Greenhouse; United States; On-site; USD 128,300 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) plan with company match

Flexible paid time off

Job summary

Greenhouse is seeking a Revenue Intelligence Engineer to join our Revenue Operations team. You will bridge the gap between engineering and business logic, translating real-world requirements into software solutions that enhance productivity across the Customer Growth & Success lifecycle.

The role involves designing, developing, and maintaining internal applications, collaborating with various stakeholders, and using modern AI tools. The compensation ranges between $128,300 and $180,000 annually along with excellent benefits including health insurance and a 401(k) plan.

Qualifications

• 3+ years of experience in Revenue Engineering or Revenue Operations.
• Experience using AI tools such as Claude Code and ChatGPT.
• Strong skills in modern tech stacks including Python and React.

Responsibilities

• Design and build product features for web applications.
• Maintain data pipelines connecting core revenue engines.
• Collaborate with revenue business leaders to address pain points.

Skills

AI assisted development

Software development

Communication skills

Data pipeline maintenance

Tools

Next.js

TypeScript

Salesforce

Gong

Job description

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 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

The national pay range for this role is $128,300 – $180,000. Compensation will be commensurate with experience and qualifications, and may include stock option awards, bonuses, and merit increases. Certain roles may have additional compensation, including sales commissions based on applicable sales commission plan.

Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance; basic life insurance; mental health resources; financial wellness benefits; and a fully paid parental leave program. For U.S. based employees, we also offer short‑term and long‑term disability coverage, a 401(k) plan with company match, up to 14 scheduled paid holidays, up to 80 hours of paid sick leave, and flexible paid time off. Non‑exempt employees accrue up to 20‑25 days of paid vacation time annually, depending on tenure.

Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, please contact [e-mail].

Emails about job opportunities at Greenhouse Software are only offered by employees with @greenhouse.io email addresses. See our website if you suspect a phishing scam.