GTM Engineer, Marketing Operations

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They are seeking a GTM Engineer to revolutionize marketing operations and go-to-market strategies by leveraging AI and automation to enhance customer acquisition and expansion efforts.

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

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