GTM Engineer, Marketing Operations AI Innovation
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full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $124,000 - $198,000 per year
About the role
- Identify high-leverage marketing workflows and build working solutions — agents, automations, and AI-powered tools — tailored to each team's processes.
- Design, build, and deploy custom AI agents and agentic workflows that integrate AI APIs, MCP servers, and automation platforms into our GTM motion.
- Build evaluation frameworks to measure agent quality, accuracy, and reliability — including prompt evals, agent benchmarking, and regression testing.
- Coach marketers through a progressive AI journey: from first win, to regular integration, to full workflow transformation, to self-sufficiency.
- Recognize patterns and scale what works — think in reusable systems, not one-off solutions.
- Own build-vs-buy decisions from business case through implementation.
- Prepare teams for an agentic future: designing, building, and overseeing multi-agent workflows.
- Create documentation, playbooks, and reusable templates that the entire team can leverage.
Requirements
- 8+ years in growth marketing, product management, systems, or operations, including 2+ years in GTM Engineering, AI Engineering, or Solutions Engineering.
- Agent building: Demonstrated experience designing, building, and deploying AI agents and agentic workflows that transformed real work — not just using AI, but building with it.
- Evaluations: Experience building eval frameworks for AI systems — prompt evals, output quality scoring, agent benchmarking, and testing against ground truth or human baselines.
- Fine-tuning: Practical experience fine-tuning language models for production use cases.
- Builder mindset — you'd rather ship a working POC today than present a deck about what's possible next quarter.
- Strong communicator who can translate technical concepts for non-technical audiences and coach different learners.
- Track record of enabling others to permanently change how they work.
- Growth ownership mindset — executes end-to-end without constant guidance.
- Hands-on with AI APIs and agent frameworks (e.g., OpenAI, Anthropic/Claude, Gemini, LangChain, CrewAI, RAG, MCP).
- Demonstrated Clay experience
- Familiar with martech stacks (automation tools, CDPs, CRMs, data warehouses)..
Benefits
- Competitive compensation and benefits programs
- Health insurance
- Paid time off
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI agent buildingAI workflowsevaluation frameworksprompt evaluationsagent benchmarkingregression testingfine-tuning language modelsGTM EngineeringAI EngineeringSolutions Engineering
Soft Skills
strong communicatorcoachinggrowth ownership mindsetbuilder mindsetpattern recognitionteam preparationdocumentation creationplaybook developmentreusable systems thinkingenabling change