dbt Labs - AI Engineer, Go-To-Market
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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.
Responsibilities
• Design, implement, and scale the initial Go-to-Market (GTM) AI program, developing complex AI capabilities and agents that automate GTM use cases and workflows to materially improve productivity and scalability. • Build and deploy AI agents that reduce manual data entry and enable more sophisticated, scalable outbound personalization. • Create and launch programs that enable the broader GTM organization to increase its understanding and adoption of AI tools and capabilities, driving wide-scale impact through high-value use cases. • Implement AI-driven outbound programs using tools such as Clay, Glean, Claude, and LLM APIs to automate account research, data enrichment, and personalized outreach sequences in support of marketing pipeline goals. • Partner directly with GTM operations leaders across Revenue Operations, Marketing Operations, Enablement, and related functions to develop a deep understanding of current processes, systems, and procedures, identify productivity opportunities, and apply AI to drive measurable operational and sales impact. • Rapidly prototype AI solutions for manual processes, measure outcomes, and iterate to improve GTM funnel performance and conversion. • Work with senior stakeholders across dbt Labs to identify strategic and organizational opportunities where AI can drive meaningful business uplift.
Benefits
• We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process. In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York City, Austin, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below. • $155,000 - $200,000 USD • $180,000 - $240,000 USD
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