Who We're Looking ForWe'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 OnBuild & 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
