GTM Engineer

Higgsfield AI

GTM Engineer at Higgsfield AI building systems to support revenue across Sales, Marketing, and Product teams. Working closely with leadership to automate tasks and optimize GTM performance in a fast-paced environment.

Posted 6/11/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $110,000 - $150,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLdata analysisworkflow automationdata transformationGTM performance trackinghypothesis testingexperiment designdeal progressionaccount expansionlead enrichment

Soft Skills

collaborationproblem-solvingcommunicationcritical thinkingadaptabilitystrategic thinkinganalytical skillscreativityiterationprioritization

Tools & Technologies

n8nZapierMakeAI-assisted development toolsClaudeChatGPTCursordata warehousesdashboardsinternal tools

Industry Keywords

GTM motionrevenue teamshigh-growth startupproduct-driven companyleadershipcustomer successsalespartnershipsconversionacquisition

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Design, build, and maintain systems that power our GTM motion across Sales, Partnerships, and Customer Success.
Create workflows that support lead enrichment, routing, outreach, deal progression, and account expansion.
Automate repetitive tasks so revenue teams can focus on high-value conversations.
Partner closely with Sales and GTM leadership to understand where deals stall and engineer solutions that unblock them.
Build tooling that helps reps qualify faster, personalize better, and close more effectively.
Treat GTM like a product: form hypotheses, test workflows, validate signals, and iterate quickly.
Run experiments across acquisition, conversion, and expansion to identify what moves revenue.
Pull, transform, and analyze GTM data to surface insights on funnel performance, deal velocity, and account growth.
Help define and track leading indicators that inform prioritization and strategy.
Build lightweight dashboards or internal tools that make GTM performance visible and actionable.

Requirements

What you’ll need

2+ years of experience in a technical role such as engineering, analytics engineering, growth engineering, or technical RevOps.
Strong SQL skills and hands-on experience working with modern data warehouses.
Experience designing and maintaining workflow automations using tools like n8n, Zapier, Make, or similar platforms.
Regular use of AI-assisted development tools (e.g., Claude, ChatGPT, Cursor, Claude Code) to speed up building, analysis, and iteration.
Prior work at a high-growth startup or product-driven company.

Benefits

Comp & perks

Competitive base + equity