GTM Engineer, Marketing Operations

dbt Labs

16h•$127,000 - $160,000

About The Position

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.

Requirements

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 Haves

proficiency in Python or JavaScript/TypeScript for building automation scripts and handling API requests

Responsibilities

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