GTM EngineerActive$169K–$222K

The opportunity

The GTM Engineer builds the automations, custom internal applications, and AI-native workflows that power our Go-To-Market operations. This role goes beyond traditional SaaS administration — you’ll act as a hands-on technical builder, leveraging AI coding assistants and LLMs to…

What you'll do

  • Custom Web Apps & Internal Tooling: Rapidly prototype and build lightweight, custom web applications and internal tools that improve the user experience and help commercial teams work more efficiently.

  • AI & Systems Integration: Develop integrations between GTM tools, internal systems, and LLM APIs using REST APIs, webhooks, and modern automation platforms.

  • Automation Development: Build, deploy, and maintain reliable automated workflows that eliminate manual processes and improve productivity across the organization.

  • Tool Innovation & Ownership: Own selected GTM tools end-to-end. Automate routine maintenance and configuration wherever possible, allowing you to focus on the technical roadmap, continuous improvement, and new AI-driven capabilities.

  • Data Quality & Reliability: Monitor and improve data consistency across systems. Identify issues early and implement sustainable, automated solutions to prevent them from recurring.

  • Technical Troubleshooting: Investigate and resolve complex issues across integrations, workflows, data pipelines, and custom applications, while focusing on long-term, scalable solutions.

What they're looking for

  • Cross-Functional Collaboration: Work closely with Sales, Marketing, Support, Account Management, and other teams to understand their challenges and translate day-to-day friction points into technical solutions.
  • Education: Bachelor's degree in Information Technology, Computer Science,: Business Technology, or a related field.
  • AI-Assisted Development: Proven ability to use AI coding assistants such as Claude Code, Cursor, or similar tools to rapidly develop, debug, and deploy functional applications and workflows.
  • Programming Skills: Foundational understanding of Python and ideally basic web technologies such as HTML and JavaScript. You don't need to be a traditional full-stack engineer, but you should be comfortable reading code, understanding technical logic, and effectively using and debugging agentic coding tools.