Key skills
AILLMClaudeAnalyticsLookerTableaudbtSaaSSalesforceCRMPrototypingSales
About this role
dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. As a GTM AI Engineer, you'll architect AI-powered workflows to enhance productivity in the GTM organization, directly influencing revenue performance and sales productivity.
Responsibilities:
- 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
Requirements:
- 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
- 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