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

3+ years building and shipping production software on a modern stack (Python, Node.js, TypeScript, React/Next.js, or similar)

Experience integrating with a CRM as a system of record (Salesforce strongly preferred) including safe write patterns, idempotent sync design, and architecting around platform API limits

Has owned a production data pipeline end to end, including monitoring, alerting, and failure recovery

Practical application architecture experience on lean BaaS and modern hosting platforms (Supabase, Firebase, Vercel, Railway, Render). Direct Supabase experience strongly preferred

Fluency with AI-assisted development tools (Claude Code, Cursor, ChatGPT) as part of a normal shipping workflow

Strong communication skills: can turn ambiguous business requests into technical scope, present solutions to non-technical stakeholders, and sequence or push back on competing asks

GTM Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Greenhouse

More roles at Greenhouse