GTM engineer

The role

You will architect and operate the systems, applied AI, and data infrastructure for the GTM organization. This involves building the GTM tech stack, an outbound signal engine, and the applied AI layer to drive pipeline velocity and sales efficiency.

What you will do

• Drive GTM systems end-to-end including Salesforce, CPQ, lead routing, and call intelligence
• Build the applied AI layer of the GTM stack including agents and workflows
• Build the outbound signal engine including signal ingestion, enrichment, and attribution
• Build out the GTM Engineering operating infrastructure including deployment pipelines and AI dev environments
• Partner with data science on the GTM data-to-action loop
• Bring technical capabilities to GTM Operations and Marketing Ops teams
• Drive adoption and measurement like a product owner
• Build the technical foundation for the wider GTM organization to work with AI

Required qualifications

• 5+ years in a customer-facing or GTM-facing technical role at high-growth B2B SaaS or AI companies
• Deep experience with coding tools like Cursor or Claude Code and enterprise agent tooling
• Broad experience managing the modern GTM tech stack including data enrichment, lead routing, sales engagement, call intelligence, chat, CPQ, and support
• Deep technical background in system design and architecture including data model, integrations, and automation
• Experience managing development environments and deployment pipeline

Nice to have

• Experience with Salesforce, Gong, Clay, and/or LeanData

About the company

Watershed is the enterprise sustainability platform used by companies to manage climate and ESG data and drive decarbonization.