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GTM Engineering Lead

United States, Boston · Job Posted June 30, 2026
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Job Description

TL;DR: We're building AI-powered GTM systems from scratch — you'll lead the design and execution of the agents, automations, and workflows that help Lovable win deals, onboard customers faster, and scale. You'll own our agent orchestration strategy and execution, the data pipelines that power it, and our PLG strategy in the enterprise segment end-to-end. We're looking for an exceptional GTM Engineer Lead. If you're obsessed with AI, love building things that actually get used, and want to shape how a generation-defining company grows, this is your role.

Job Responsibility

  • Own PLG strategy and execution for enterprise: design the full motion from activation to expansion, and build the systems that make it run without manual intervention
  • Build and scale the agent layer that powers our GTM: from outreach personalization to deal routing, you'll architect what we use to win
  • Own the data infrastructure that makes all of it intelligent: product signals, enrichment pipelines, CRM sync, the works
  • Ship rapidly: prototype GTM experiments across channels, workflows, and data-driven tactics, and iterate based on what moves the needle
  • Build in Lovable: you'll design agents and apps directly in the product, not just describe what you want someone else to build

Requirements

  • BS/MS in Computer Science, AI/ML, or a related field, or equivalent depth demonstrated through professional experience building production AI systems
  • Proven track record leading a GTM engineering or growth engineering function at a high-growth SaaS company, with direct reports
  • Hands-on experience architecting and owning agent orchestration systems end-to-end, from framework selection to production deployment and iteration
  • Deep experience designing and owning data pipelines that feed GTM systems, including product usage signals, enrichment flows, and CRM sync
  • Hands-on PLG experience, especially designing and executing enterprise motions around activation, expansion, and usage-based conversion
  • Proficiency in Python and/or JavaScript/TypeScript, and genuine obsession with the LLM stack
  • Deep experience with Lovable. You've built real things in it, not just played around

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