GTM Engineer

About Higgsfield 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. Who We’re Looking For 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. What You’ll Work On 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. What We Look For 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. The Deal Location: San Francisco Bay Area Work Format: SF-based, hybrid (2 days/week on-site) Compensation: Competitive base + equity