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Greenhouse

GTM Engineer

Anywhere in the United States$128.3k–$180kfull-timemidAdded 6 days ago

About this role

Greenhouse seeks a GTM Engineer to build and scale internal web applications for revenue teams, bridging engineering and business operations. You'll design workflow automation platforms, integrate critical systems like Salesforce, and leverage AI tools to solve real-world business challenges in a high-ownership, fast-paced environment.

What you'll do

  • Design and develop product features for internal web applications using Next.js, TypeScript, Supabase, and Vercel
  • Build and maintain production data pipelines and integrations between revenue systems like Salesforce and Gong
  • Partner with GTM stakeholders (SDRs, AEs, AMs, CSMs) to translate business needs into engineering roadmaps
  • Evaluate and operationalize LLM prompts and AI frameworks to optimize data output and actionability
  • Document architecture decisions and create operational playbooks for system maintenance
  • Coordinate with data engineering, security, and enterprise apps teams on infrastructure integration

What they're looking for

  • Production software development (Python, Node.js, TypeScript, React/Next.js)
  • Salesforce CRM integration and API design patterns
  • End-to-end data pipeline ownership with monitoring and failure recovery
  • Backend-as-a-Service platforms (Supabase, Firebase, Vercel)
  • AI-assisted development tools (Claude Code, Cursor, ChatGPT)
  • Technical communication and stakeholder management
  • Solo system ownership and prioritization
  • B2B SaaS experience
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Greenhouse

Greenhouse builds internal web applications and automation tools that drive productivity across revenue teams. The company is hiring engineers to design software solutions that translate business requirements into deployed systems, working directly with go-to-market stakeholders to solve operational challenges.

Website
greenhouse.com
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Likely interview questions

  • Walk us through your experience building and shipping production software on modern stacks—what was your most complex end-to-end project?
  • Describe a time you owned a data pipeline from design to production. How did you handle monitoring, alerting, and failures?
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