Greenhouse - GTM Engineer

About Greenhouse

At Greenhouse, our mission is to make hiring work for everyone. We achieve this by hiring great people who form the foundation of our success. Join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability to achieve our mission. We believe in solving meaningful problems with remarkable teams and doing the best work of our careers.

About the Role

Greenhouse is looking for a GTM Engineer to join our Revenue Operations team. As the Revenue Intelligence Engineer, you will 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: Thrives in a lean environment with 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: Enjoys collaborating directly with revenue business leaders, using technical acumen to patiently cut through ambiguous requirements and lead with confident product recommendations.
• A Problem Solver: Motivated by challenges, loves finding the right solution for their team, and ships custom features that immediately solve user friction.
• An AI Enthusiast: Passionate about AI-assisted development, using tools like Claude Code to build useful tools for their team.

What You’ll Do

• Design, build, and extend new product features for our internal web app utilizing a modern tech stack (Next.js, TypeScript, Supabase, 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 for easy maintenance of standalone systems by the broader team.
• Coordinate periodically with data engineering, security, and the Enterprise Apps team to ensure internal tooling integrates seamlessly with global corporate infrastructure.

Requirements

• 3+ years of direct experience 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 (e.g., Claude Code, ChatGPT, Cursor).
• Software development experience using a modern tech stack (e.g., Python, Node.js, Next.js, TypeScript, React).
• Development and integration infrastructure experience within Salesforce.
• Practical application architecture experience utilizing lean backend-as-a-service (BaaS) and modern hosting platforms (e.g., Supabase, Firebase, AWS Amplify, Vercel, Railway, Render).
• Strong interpersonal and communication skills, with the 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 in a fast-scaling B2B SaaS business model (a plus).
• Unique talents and perspectives are highly valued; if you don't meet 100% of the qualifications, we still encourage you to apply.

Legal & Location Information

• Applicants must be legally eligible to work in Canada as of the start date. Sponsorship is not supported.
• Personal information may be transferred to and accessed by affiliates in the US or elsewhere, or by service providers (payroll, insurance, IT) for employment administration.

Compensation

• National pay range: $117,500 - $176,300 CAD.
• Individual compensation will be commensurate with experience and qualifications.
• Potential for additional compensation: stock options, bonuses, merit increases, and sales commissions based on plan.

About Us

Greenhouse lives its mission by using its own product to hire effectively. We are committed to designing and responsibly using AI tools to transform work while keeping people central. We are a remote-first company with shared office spaces in NYC and Ireland, and optional co-working spaces for flexibility. We foster growth through a performance review program providing actionable feedback and a bonus structure rewarding performance. We value diverse perspectives and nurture leaders who create inclusive cultures and invest in employee resource groups. We are proud of our award-winning culture, recognized by Fortune and Inc. as Best Places to Work multiple years running.

Greenhouse Software is an equal opportunity employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, or any other protected characteristic. For assistance or accommodation during the application process, please contact accommodations@greenhouse.io.