GTM Engineer - Partnerships

Clay provided pay range
This range is provided by Clay. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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 — including Anthropic, Notion, Google, and Ramp — go to market with unique data, signals, and AI research. In 2025, we raised a $100M Series C backed by world-class investors including Sequoia, CapitalG, and First Round — and crossed $100M in revenue. In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also launched a community equity round, for our customers, agency partners, and club members.

About Us

• Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
• Our culture is unique inside and outside of work. Our team members are also DJs, activists, writers, clowns, marathoners, skydivers, psychedelic therapists, social workers, and more.
• All employees can work for free with world-class coaches who specialize in creativity, management, and more.
• Our operating principles — including negative maintenance and non-attached action — guide our work. Read more about them here.

Read about us in the NYT, Forbes, First Round Review, and more. Hear from our employees directly on our Glassdoor page!

Responsibilities

• Serve as the embedded GTM Engineering partner for Solutions, Partnerships, and Edu teams, including:
  • Build and own our partner and ecosystem workflow automations like partner identification, co-selling, registration, account intelligence etc.
  • 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

Requirements

• At least 6-10 years working in a combination of RevOps, GTM Engineering or other similar applied technical discipline
• At least 3 years in RevOps/Sales Ops or GTM Engineering or equivalent
• Experience building, developing or connecting core systems like Salesforce and adjacent GTM systems including hands on experience partner relationship management or other similar systems
• 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 but 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

Pay

Base pay range: $140,000.00/yr - $200,000.00/yr

Schedule

Full-time