About this role
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.
The Marketing Operations team is looking for a GTM Engineer, AI Innovation to be embedded directly with marketing teams — building AI-powered agents, automations, and workflows that permanently transform how marketers execute. You'll build alongside the people you support, measuring success by workflows transformed and teams reaching self-sufficiency. This role is open to remote candidates.
A day in the life (Responsibilities)
• 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.
What you'll need to thrive (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)..
Special Sauce* (Nice to Haves)
• Working knowledge of web services APIs and cloud services (AWS, GCP or Azure).
• Experience with scripting la