GTM Engineering Lead

Responsibilities

• 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 GTM: from outreach personalization to deal routing, architect what is used to win.
• Own the data infrastructure that makes all of it intelligent: product signals, enrichment pipelines, CRM sync.
• Ship rapidly: prototype GTM experiments across channels, workflows, and data-driven tactics, and iterate based on what moves the needle.
• Build in Lovable: design agents and apps directly in the product.

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.