GTM Engineer

Higgsfield AI is the leading video AI company redefining synthetic media on social platforms. In just 9 months since launch, the company has scaled to a $200M+ run-rate in revenue and recently raised a $130M Series A as it enters its next phase of growth.

We’re looking for a GTM Engineer who sits between Sales, Marketing, Product, and Data — someone who builds systems that help the company close more revenue, faster.

This is not a traditional sales role and not a traditional engineering role. It’s for someone who:

• Thinks like a seller but builds like an operator

• Enjoys tinkering, prototyping, and automating workflows

• Cares deeply about ROI and real business outcomes

• Thrives in ambiguity and fast-moving startup environments

• Learns new tools by doing, not by waiting for permission

You don’t need a formal CS background. You do need curiosity, commercial instincts, and the ability to turn messy GTM problems into scalable systems.

Build & Own GTM Infrastructure

• 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.

Revenue Enablement

• 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.

Experimentation & Optimization

• 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.

• Turn feedback loops from Sales and customers into better systems and processes.

Data & Signal

• 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.

• 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.
  

• Location: San Francisco Bay Area

• Work Format: SF-based, hybrid (2 days/week on-site)

• Compensation: Competitive base + equity
  

1. Initial screen with recruiter

2. Practical GTM problem-solving / systems discussion

3. Final interview with the CEO