GTM Engineer, Marketing Operations AI Innovation

Job not on LinkedIn

🕒 March 27

🇺🇸 United States – Remote

💵 $124k - $198k / year

⏰ Full Time

🟠 Senior

🔴 Lead

⚙️ Marketing Operations

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Toast

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

☁️ SaaS

🤝 B2B

SaaS • B2B • Hospitality

Toast is a technology company that specializes in providing integrated software and hardware solutions for the restaurant industry. Their offerings include a comprehensive restaurant management platform that features point of sale (POS) systems, payment processing, online ordering, payroll management, and various operational tools designed to streamline restaurant operations. Toast's platform is tailored to meet the needs of diverse restaurant types, including quick service, full service, fast casual, fine dining, cafes, and food trucks. They also provide resources like industry insights and educational materials to support restaurant success.

📋 Description

• 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