About the role

GTM Engineer designing automated systems at AI company focusing on revenue growth. Collaborates across teams to enhance GTM strategies and implement signal-driven actions.

Responsibilities

Build GTM Signal Infrastructure – Design automated systems that score ICP fit, map buying committees, support visibility into buying group engagement and coverage, and track multi-threaded engagement across target accounts.
Capture Intent & Engagement at Scale – Aggregate and normalize intent, website, content, ad, and event signals to understand real buying behavior by account and persona.
Detect Buying Stage & Deal Health – Translate multi-signal engagement patterns into buying-stage readiness, momentum shifts, and stalled-deal risk indicators.
Orchestrate Automated GTM Actions – Trigger real-time outreach, personalization, audience syncing, nurtures, and deal-acceleration plays based on live engagement signals.
Build Internal Tooling & Agent Workflows – Ship AI agents, integrations, and automation tooling that turn manual GTM workflows into scalable revenue systems.
Partner With Marketing, Sales, and RevOps – Translate GTM strategy into scalable systems and automation.
Add Data Quality & Governance – Maintain data reliability, normalization, and signal accuracy across GTM systems

New grad or early-career engineer who has shipped real production code (internships, co-ops, side projects all count)
Alternatively, a marketer with strong technical skills who uses automation and AI to engineer scalable, signal-driven growth systems
Strong scripting and automation comfort level (Python and/or TypeScript preferred)
Experience working with APIs, data pipelines, and integration-heavy systems
Builder mindset: you see a problem, you fix it, you ship it
High ownership, high urgency, low ego
Product instincts: you can think through user needs and design workflows that make sense
Interest in GTM and how companies actually scale revenue