dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 90,000 teams every week, driving data transformations and AI use cases.
As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Platform customers, including AstraZenica, Sky, Nasdaq, Volvo, JetBlue, and SafetyCulture.
We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:
Reliable, high-quality data is the fuel that propels AI-powered data engineering.
AI is changing data work, fast. dbt’s data control plane keeps data engineers ahead of that curve.
We empower engineers to deliver reliable, governed data faster, cheaper, and at scale.
dbt Labs is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started.. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our values.
We're searching for a high-impact, results-driven individual to join our team as a GTM Engineer, focused on revolutionizing our marketing operations and go-to-market (GTM) motion. This is a critical role that will leverage cutting-edge AI and automation to build the scalable technical backbone that accelerates customer acquisition and expansion across the entire GTM organization. You'll partner closely with Marketing, Sales, and Data teams to translate strategic vision into high-performing, measurable systems.
Streamline and optimize marketing processes—including campaign creation, audience segmentation
Partner with Marketing, Marketing Intelligence and Sales Operations teams to identify and scope opportunities for AI-driven solutions and technology adoption across teams
Integrate AI APIs, MCP Servers, and other automation tools to build agents and workflows that improve Marketing’s Go-to-Market motions
Own how and where we utilize AI to drive optimization, productivity, and cost savings
Architect, build, and deploy AI prototypes and scalable automated workflows (integrating LLMs and AI APIs) to proactively eliminate friction and drive efficiency gains across end-to-end marketing processes
Create and maintain technical documentation and training materials to ensure adherence to operational best practices and increase team self-sufficiency
Own and manage a 15+ Marketing tooling suite
Own integrations, optimizations, and access management across the marketing tech stack, including vendor management, administration, and maintaining a forward-looking tooling roadmap
Partner closely with SDR and Sales leaders to support lead funnel management and routing, lead processing, SLA management, and lead scoring and qualification frameworks
6+ years of demonstrated experience in Marketing Operations or Revenue Operations within a high-growth SaaS environment
Hands-on, expert-level experience with Salesforce and Hubspot
Hands-on experience with data orchestration and automation platforms, like Clay, Workato
Hands-on experience owning a mar tech stack of multiple tools, vendor evaluation and management, with the ability to scale, optimize and understand redundancies for a large tech stack
A proven track record of applying AI or advanced automation to solve complex business problems, with practical experience with AI concepts (LLMs, RAG, prompt engineering)
Exceptional communication and executive presence, with the ability to clearly articulate complex technical strategies to both technical and non-technical stakeholders
A "builder" and "practical innovator" mindset: who turns problems into scalable solutions
Highly analytical and process-driven, focused on efficiency and scalability
Proficiency in SQL, or BI visualization tools (e.g., Tableau, Looker, Power BI, Omni)
Experience supporting or building lead management infrastructure, including routing logic, scoring models, and SLA frameworks in partnership with SDR and Sales teams
Nice to have: proficiency in Python or JavaScript/TypeScript for building automation scripts and handling API requests
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, Austin, New York City, San Francisco, Washington, DC, and Seattle), an alternate range may apply, as specified below.
- The typical starting salary range for this role is: $127,000 - $160,000 USD
- The typical starting salary range for this role in the select locations listed is: $141,000 - $180,000 USD
Competitive salary
Equity stake
Benefits - dbt Labs offers:
Unlimited vacation (and yes we use it!)
401k with 3% guaranteed contribution
Excellent healthcare
Paid Parental Leave
Wellness stipend
Home office stipend, and more!
*Equity or comparable benefits may be offered depending on the legal limitations
dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.
Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI page.
dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.
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dbt Labs provides data transformation and workflow software that enables analytics and data engineering teams to build, test, and deploy data pipelines. The company serves data-driven organizations across industries by offering tools that integrate with data warehouses like Snowflake and BigQuery. Their platform targets mid-market to enterprise companies seeking to improve data reliability and governance.
Visit website$127,000 – $180,000
Base Only · Stock Options
