LeanData
GTM Engineer (Data & AI)
United States · Full-time
Sponsorship not specifiedDetected 153 days ago
Data EngineeringLLMsProblem Solving
About the role
- This is a highly cross-functional role where you will work directly with GTM VPs to define their growth strategies.
- What you will be doing: - Architect the GTM Intelligence Foundation.
Responsibilities
- Architect the GTM Intelligence Foundation. Design and manage a unified data layer that merges structured (DataLake/APIs/MCPs) and unstructured signals (Calls/Emails/Chats) for agentic reasoning and consumption
- Engineer Agentic Workflows. Build autonomous systems that sit in the execution path of the funnel, blending probabilistic AI reasoning with deterministic logic to automate complex decisions across Marketing, Sales, and CX
- Lead our predictive modeling efforts. Own the logic and technical setup for scoring and propensity models ensuring they are integrated into the agentic orchestration layer
- Prototype and Scale GTM Innovation. Rapidly build and test new AI-native concepts and turn the successful ones into standard operating procedure
Requirements
- Track record of shipping GTM logic, like scoring, routing, and lifecycle automation, that measurably moved the needle on pipeline or retention.
- Hands-on experience with modern orchestration platforms and understand how to orchestrate LLMs, enrichment waterfalls, and agentic workflows.
Nice to have
- Engineering-First Mindset.
- 5+ years in GTM Systems, RevOps, or Data Engineering with a focus on technical workflows.
- A technical degree or equivalent background is preferred
Skills
- LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue.
- This is a remote opportunity.
Benefits
- Stock options in LeanData for all full-time employees
Apply directly at LeanData →Create a free account for alerts like thisView LeanData immigration profile
This listing is sourced directly from LeanData's careers page and normalized into a canonical job model.