GTM Engineer - Seller Efficiency

We're looking for someone to focus on elevating our core sale workflows; building automations and AI-systems that help us acquire new customers and kickoff successful customer journeys. Strong candidates will be builders who with a strong understanding of modern selling motions. You will operate with high agency but ground yourself in what your stakeholders need to be successful.

- 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

- At least 6-10 years working in a combination of RevOps, GTM Engineering or other similar applied technical discipline with

- 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 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