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ClayClayNew York, NY

GTME Partnerships

Build AI-powered automations and connected systems for partnerships, solutions, and education teams. The role requires 6–10 years across RevOps, GTM Engineering, or a related technical discipline, plus experience with Salesforce, data systems, programming, and AI workflows.

140k – 200k/yr
Hybrid10+ YOEGTM Engineering

About the role

Responsibilities

  • Serve as the embedded GTM Engineering partner for Solutions, Partnerships, and Education teams.
  • Build and own partner and ecosystem workflow automations, including partner identification, co-selling, registration, and account intelligence.
  • Extend the platform into new use cases, provide product feedback, dogfood new features, and act as a practitioner evangelist of Clay infrastructure and GTM Engineering.
  • Partner with GTM leaders and frontline teams to understand current revenue motions and identify breakdowns.
  • 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 improved 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 performance, adoption, and business impact, then improve systems 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 in RevOps, Sales Operations, GTM Engineering, or an equivalent field.
  • Experience building, developing, or connecting Salesforce and adjacent GTM systems.
  • Hands-on experience with partner relationship management or similar systems.
  • Ability to build and problem-solve using Python, JavaScript, SQL, or TypeScript.
  • Track record of deploying AI-powered internal tools, automations, or agentic workflows.
  • Experience with 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 teams.
  • Ability to operate effectively in ambiguous, fluid, and hypergrowth environments.

Nice-to-haves

  • Experience building in Clay as a primary workflow or enrichment layer.
  • Experience in analytics engineering or data science.
  • Additional programming experience.

Skills

revopsgtm engineeringSalesforcePythonJavaScriptSQLTypeScriptAI AutomationAgentic Workflowsdata warehousesBI ToolsAPIsWebhookspartner relationship managementClay

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