Clay

GTM Engineer - Seller Efficiency

Clay

New YorkFullTime$140k – $180kPosted May 18, 2026

Job description

ABOUT CLAY Our mission is to help organizations turn any growth idea into reality. We see growth as a creative practice, not a formula. Finding and reaching your best-fit customers takes unique ideas and constant iteration. As AI makes execution faster and tactics easier to copy, creativity is the only lasting advantage.

We're already helping thousands of customers https://clayrun.notion.site/Wall-of-Love-b243f2b67607438b9fad99341e6b8d47 — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research. In 2025, we raised a $100M Series C https://www.nytimes.com/2025/08/05/business/dealbook/clay-ai-marketing-fundraise.

htmlbacked by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer https://www.nytimes.com/2026/01/28/business/dealbook/clay-start-up-tender-offers.html in 9 months at a new $5B valuation. We also launched a community equity round https://www.

clay.com/blog/community-equity-offering, for our customers, agency partners, and club members. Some things to know about us:

What You'll Do

  • Build and own core sales workflow automations like book carving, ROE automation, signal detection, pipeline automation and more
  • Partner closely with our Head of Sales and sales leadership to translate business needs into automation requirements and iterate based on feedback
  • Build tooling that surfaces the right customer context for GSMs at the right moment; before QBRs, during renewals, and ahead of expansion conversations
  • Push the limits of Clay and extend our platform into new use cases, feed our product team innovative ideas, dogfood new features and ; act as a practitioner evangelist of Clay infrastructure and GTM Engineering
  • Partner deeply with GTM leaders and frontline teams to understand how our revenue motion works today and where it breaks
  • Own projects end-to-end, from discovery and prototyping through rollout, adoption, and iteration; identify opportunities to automate, augment, or redesign workflows using AI, data, and better systems design
  • Design systems that improve speed, visibility, data quality, and execution across the funnel; connect systems through APIs, webhooks, integrations, and automation layers so information moves cleanly across the stack
  • Measure performance, adoption, and business impact of what you build, then improve it over time
  • Act as an internal thought partner on the future of AI-native GTM systems What You'll Bring
  • At least 6-10 years working in a combination of Rev. Ops, GTM Engineering or other similar applied technical discipline with
  • At least 3 years in Rev. Ops/Sales Ops or GTM Engineering or equivalent
  • Experience building, developing or connecting core systems like Salesforce and adjacent GTM systems including hands on experience with sales tooling
  • Proven ability to build and problem solve with methods incorporating Python, JavaScript, SQL, or TypeScript; we pull our own data on this team
  • Track record of deploying and building AI-powered internal tools, automations, or agentic workflows
  • Experience using data warehouses, BI tools, or event-driven systems
  • Executive presence -- you communicate concisely and confidently even about technical topics with non technical people while simultaneously communicating business requirements to technical audiences
  • Proven ability to operate effectively in ambiguous and fluid hypergrowth environments -- you not only embrace change bur drive it
  • Experience building in Clay as a primary workflow or enrichment layer is not required but is highly preferred (successful candidates with no experience in Clay will show increasing proficiency throughout the interview process)
  • Bonus points for experience in analytics engineering, data science and /or programming languages
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