GTM Engineer (Data & AI)

LeanData

1d•Hybrid

About The Position

LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue. We are seeking a GTM Engineer (Data & AI) to be the lead architect of our autonomous revenue engine. This is a critical role focused on building the Data and Context layers that serve as the "brain" for our AI strategy. We aren't just looking for someone to manage tools, we want a builder who can accelerate our agentic GTM automation, where workflows don't just follow rules, but reason through signals to power the entire customer journey. You will be empowered to use your technical depth to design, test, and scale a system that eliminates manual friction and turns the funnel into a high-velocity machine. This is a highly cross-functional role where you will work directly with GTM VPs to define their growth strategies. Reporting into the Head of Revenue Operations, you will have a seat at the table with the C-suite to help define the future of RevOps in the GTM tech industry. Hybrid: This role is based in our Santa Clara, CA office and requires in-office presence on Mondays and Wednesdays each week.

Requirements

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
Context Orchestrator. You have built complex data flows across Data Warehouses, APIs, and MCP servers and have hands-on experience building the context layers for AI judgment
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.
Possess a structured approach to problem-solving and a natural instinct to simplify and automate manual processes rather than adding complexity

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