Build and own AI-powered post-sale workflows that improve customer health visibility, churn prevention, and expansion opportunities. The role partners with CX, RevOps, Growth Strategy, and Support teams and requires strong experience with Salesforce, customer success tooling, automation, and technical data systems.
140k – 200k/yr
Hybrid10+ YOEGTM Engineering
About the role
Responsibilities
Build and own post-sale workflow automations, including health scoring, churn signal detection, expansion opportunity identification, and proactive customer outreach triggers.
Partner 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 key moments, including before QBRs, during renewals, and ahead of expansion conversations.
Extend the Clay platform into new use cases, dogfood new features, and act as a practitioner evangelist for Clay infrastructure and GTM Engineering.
Partner with GTM leaders and frontline teams to understand the revenue motion and identify workflow gaps.
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 systems design.
Design systems that improve speed, visibility, data quality, and execution across the funnel.
Connect systems through APIs, webhooks, integrations, and automation layers.
Measure the performance, adoption, and business impact of solutions and improve them over time.
Act as an internal thought partner on the future of AI-native GTM systems.
Requirements
6–10 years of experience across RevOps, GTM Engineering, or a similar applied technical discipline.
At least 3 years of experience in RevOps, Sales Operations, GTM Engineering, or an equivalent field.
Experience building, developing, or connecting Salesforce and adjacent GTM systems.
Hands-on experience with customer success tools such as Gainsight, Vitally, or ChurnZero.
Ability to build and solve problems using Python, JavaScript, SQL, or TypeScript.
Track record of deploying AI-powered internal tools, automations, or agentic workflows.
Experience using data warehouses, BI tools, or event-driven systems.
Strong executive presence and ability to communicate technical topics to nontechnical audiences and business requirements to technical audiences.
Ability to operate effectively in ambiguous, rapidly changing, hypergrowth environments.
Nice to Have
Experience building in Clay as a primary workflow or enrichment layer.
Experience in analytics engineering, data science, or programming.
Compensation and Benefits
Employees can work for free with world-class coaches specializing in creativity, management, and more.
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