Gtm Enablement Engineer

Toast Toast · Enterprise · United States · Remote · Sales : Growth Operations

This role focuses on building and deploying AI agents and agentic workflows within the sales enablement technology stack. The engineer will prototype automation, execute A/B testing on AI capabilities, develop AI-assisted templates, and integrate AI-generated coaching recommendations and deal health dashboards. The core responsibility is to leverage AI to improve sales productivity, adoption rates, and ramp velocity.

What you'd actually do

  1. Prototype new automation and intelligence workflows based on direct field feedback — move fast from "reps are losing deals here" to a working proof-of-concept that can be tested, measured, and scaled
  2. Execute rigorous A/B testing across various vendors and agentic configurations to determine which capabilities truly accelerate revenue; apply a data-backed methodology to every stack decision to ensure measurable field impact
  3. Own the GTM enablement technology roadmap: set strategy for which tools, integrations, and AI capabilities to build or buy next, prioritized by rep productivity impact and grounded in data from adoption metrics, call analysis, and win/loss patterns
  4. Develop AI-assisted templates and playbooks for outreach, meeting prep, and post-call follow-up that reps and managers actually use
  5. Partner with Sales Enablement and frontline managers to surface AI-generated coaching recommendations from call data, so managers are reviewing flagged moments rather than full recordings

Skills

Required

  • Sales Enablement, Revenue Operations, or GTM Engineering experience
  • Experience owning rep-facing tooling, coaching infrastructure, or workflow automation
  • Hands-on experience with conversation and revenue intelligence platforms (Gong, Revenue.io, Chorus, or similar)
  • Experience designing, building, and deploying AI agents and agentic workflows
  • Experience building and owning adoption measurement frameworks
  • Strong communicator and facilitator
  • Systems thinker
  • Comfortable with APIs, Salesforce flows, and no-code/low-code automation tooling

Nice to have

  • Experience building win/loss programs
  • Familiarity with sales engagement platforms (Outreach, Salesloft)
  • Background working closely with Sales Managers on performance management frameworks
  • Experience in a high-growth SaaS or fintech environment

What the JD emphasized

  • 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
  • Hands-on experience with conversation and revenue intelligence platforms (Gong, Revenue.io, Chorus, or similar) — you've built scorecards, coaching workflows, or deal health views, not just administered the tool
  • 4+ years in Sales Enablement, Revenue Operations, or GTM Engineering, with at least 2 years owning rep-facing tooling, coaching infrastructure, or workflow automation in a sales environment

Other signals

  • AI agents
  • agentic workflows
  • conversation intelligence
  • revenue intelligence platforms
  • call analysis
  • win/loss patterns
  • AI-assisted templates
  • coaching recommendations
  • deal health dashboards
  • automation adoption
  • GTM stack integrations