AI Engineer, Go-To-Market

3–5 years of experience in GTM Engineering, Marketing Operations, Revenue Operations, or a closely related technical role with a track record of driving measurable results.

Hands-on experience applying AI and automation to GTM problems — you can walk us through concrete examples.

Proficiency with modern AI and automation tools such as Clay, n8n, Zapier, Gumloop, or GPT/Claude APIs.

Experience with CRM and marketing platforms such as Salesforce, HubSpot, or Marketo.

A strong understanding of the sales funnel and the business logic behind the data you're moving.

Experience with sales platforms like Salesforce, Clari, Gong, Outreach etc.

At dbt Labs, data is the product, the language, and the mission.

As our GTM AI Engineer, you'll be the architect behind improving the productivity of our GTM organization through AI-powered and AI-assisted GTM workflows.

This is a high-impact, high-agency role sitting at the intersection of engineering, automation, and go-to-market strategy, directly influencing revenue performance, sales productivity, pipeline generation, and conversion rates.

You'll partner with senior GTM leadership and GTM Operations to build the AI-powered infrastructure that defines how dbt Labs goes to market.

You'll own the full lifecycle: uncovering inefficiencies, defining what "better" looks like, designing the solution, and building, shipping, and iterating.

This role is ideal for someone who thinks like a sales leader, works like a product manager and builds like an engineer, and who wants their work to directly move the needle on revenue growth.