GTM Automation Engineer, dbt Labs
$155-240k
Salary dependent on location + Equity
Data transformation tools
Open for applications
Data transformation tools
501-1000 employees
Open for applications
$155-240k
Salary dependent on location + Equity
501-1000 employees
Company mission
To empower data practitioners to create and disseminate organizational knowledge.
Role
Who you are
- 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
- 3+ years leading or driving automation programs focused on AI automation
- 8+ years of experience embedded in GTM Engineering, Marketing Operations, Revenue Operations, or similar teams, with a deep understanding of business operations and workflows and a strong track record of partnering with stakeholders at all levels of the organization
- Prior experience building a new function or capability within an organization from the ground up
- Demonstrated ability to independently identify complex organizational opportunities and design strategic, scalable solutions using AI automation
- Hands-on experience applying AI and automation to GTM problems, with the ability to walk through concrete examples and business impact
- Advanced experience 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 being moved and operationalized
- Strong verbal and written communication skills, with the ability to influence both technical and non-technical stakeholders across a range of levels and functions
- A bias toward action — you move from idea → experiment → solution quickly and thrive in ambiguity
- 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
What the job involves
- At dbt Labs, data is the product, the language, and the mission
- As our GTM Automation 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
- 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
Our take
In 2018, dbt Labs founder Tristan Handy was running an analytics company and created a data build tool (or ‘dbt’) to help transform data for analysis. Fast forward one year and dbt Labs was born, offering its tools to help companies everywhere transform their data workflows.
Raw data comes in myriad forms and dbt Labs’ software allows data specialists to manage the data transformation layer making its use for analysis much easier. It offers consulting services on top of the software, and has ridden a wave of companies embracing digital transformation more as their services and workplaces become more online.
Seen as the de facto standard for modern analytics engineering by many, it reached unicorn status within 2 years of launch and is focusing future efforts on expanding reach to more markets outside of the US. Its 2023 acquisition of Transform, an analytics engineering company, will aid in further developing its product's data transformation capabilities.
Steph
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Feb 2022
$222m
SERIES D
Jun 2021
$150m
SERIES C
Total funding: $414.4m
Company benefits
- Equity Stake
- Unlimited vacation
- 401k w/3% guaranteed contribution
- Excellent healthcare
- Paid parental leave
- Home office stipend
Company HQ
West Poplar, Philadelphia, PA
Leadership
Tristan Handy
(Co-Founder & CEO)Previously worked as a Senior Consultant at Deloitte, Director of Operations at Squarespace, COO at Argyle Social and Vp of Marketing at RJMetrics.
Connor McArther
(Co-Founder & CTO)Former Software Engineer and Engineering Manager at RJMetrics and Stitch.
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