Why This Job is Featured on The SaaS Jobs
This GTM Engineer role sits in a distinctly SaaS-native lane where customer outcomes are increasingly driven by systems, data, and automation rather than manual process. Clay’s focus on turning signals and enrichment into workflow action places the work close to how modern SaaS companies operationalise retention and expansion, especially as AI tooling reshapes post-sale execution. The remit is anchored in the customer lifecycle, but approached with an engineering mindset and platform thinking.
For a SaaS career, the durable value here is learning how to translate customer behaviour into measurable interventions across the revenue stack. Building health models, churn detection, and expansion triggers creates fluency in the operational layer that many SaaS organisations struggle to industrialise. The role also reinforces a transferable pattern: connecting CRM, CS platforms, data warehouses, and internal tools into dependable, observable systems that can be iterated as the product and customer base evolve.
This position fits practitioners who prefer end-to-end ownership and are comfortable moving between stakeholder discovery and hands-on implementation. It will suit someone who enjoys ambiguity that comes from evolving GTM motions, and who wants their technical work to be judged by adoption and business impact rather than output alone.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
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 — 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.
Some things to know about us:
Our community includes 11,000+ customers, 150+ integration partners, 125+ agencies, 50+ Clay clubs, and 30k members on Slack.
Our cultureis 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!
We're looking for someone to focus on elevating our post-sale workflows ; building automations that help prevent churn and identify expansion opportunities. You'll sit at the intersection of GTM Engineering and the CX org, partnering closely with Product Support and Growth Strategy to turn customer data into proactive, measurable action. Strong candidates will be builders who with a strong understanding of the CX org motion: how GSMs, CSMs, and support teams operate and what data they need to be effective. You will operate with high agency but ground yourself in what your stakeholders need to be successful.
What You'll Do
Build and own post-sale workflow automations like health scoring, churn signal detection, expansion opportunity identification, and proactive customer outreach triggers
Partner closely with Growth Strategy and Product Support 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 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 CS tooling such as Gainsight, Vitally, or ChurnZero
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
