[Hiring] AI Engineer, Go-To-Market @dbt Labs

Role Description

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.

In this role you can expect to:

• GTM owner of building AI capabilities and agents to automate GTM AI use cases and workflow to improve GTM productivity.
• Build and deploy AI agents that reduce manual data entry and enhance outbound personalization at scale.
• Enable GTM broader GTM organization AI tools and capabilities and drive deeper adoption by building highest impact AI use cases.
• Implement AI-driven outbound programs using tools like Clay, Glean, Claude and LLM APIs to automate account research, data enrichment, and personalized outreach sequences in support of marketing pipeline goals.
• Work directly with GTM operations (revenue ops, marketing ops, enablement etc) to identify productivity improvement opportunities and leverage AI to improve operations and sales productivity.
• Experiment rapidly by prototyping AI solutions for current manual processes, measuring results, and iterating to improve GTM funnel conversion improvement.

Qualifications

• 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.
• A bias toward action — you move from idea → experiment → solution quickly and thrive in ambiguity.
• The ability to communicate clearly with both technical and non-technical stakeholders.

Requirements

• Experience with sales platforms like Salesforce, Clari, Gong, Outreach etc.
• Familiarity with customer data platforms like Segment or Hightouch, and analytics tools like Looker, Tableau, Omni — a natural fit with the dbt ecosystem.
• Exposure to newer GTM AI tooling such as Claude Code, Parallel, Unify, or Cursor.
• Experience designing or optimizing marketing attribution models, lead scoring, or conversion funnels.
• Experience in a product-led growth (PLG) or B2B SaaS environment.

Benefits

• Competitive compensation packages commensurate with experience, including salary, equity, and performance-based pay.
• The typical starting salary range for this role is: $155,000 - $200,000 USD.
• The typical starting salary range for this role in select locations is: $180,000 - $240,000 USD.