GTM Engineer (Marketing Operations AI Innovation)

DeepstreamtechLocation Not Available

Stellenbeschreibung:

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)
(Desirable) Working knowledge of web services APIs and cloud services (AWS, GCP or Azure)
(Desirable) Experience with scripting languages such as Python and JavaScript – basic understanding of common syntax, able to interact with generative coding models, and debug API integrations

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
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