GTM Engineer (Clay & Claude)

Hire Overseas

23h•Remote

About The Position

We're looking for a GTM Engineer who lives inside Clay and Claude. This is not a generalist automation or RevOps role. You will spend the majority of your time building and scaling Clay-powered enrichment workflows and Claude-driven AI agents that turn raw prospect data into personalized, actionable outbound assets at scale. Clay is your primary build environment. Claude is your primary intelligence layer. You need to be deeply fluent in both, not just familiar. That means building advanced Clay tables from scratch, writing Claude prompts that produce structured and reliable research outputs, optimizing waterfall enrichment across providers, and connecting everything into CRM pipelines that activate automatically. If you are not working in Clay and Claude daily right now, this role is not the right fit. If you think in workflows, obsess over prompt quality, optimize for credit efficiency, and want to own the GTM infrastructure that drives pipeline and revenue, this role is built for you.

Requirements

Clay Certification is required and Credly badge verification will be requested
Proven production-level experience building advanced Clay tables, multi-step enrichment workflows, and Claygent automations
Deep Claude fluency: you write prompts that produce structured, reliable outputs and you iterate until they are production-ready
Strong understanding of Clay waterfall enrichment logic, provider sequencing, and credit optimization
Direct experience integrating Clay outputs into Salesforce or HubSpot with clean field mapping and automated triggers
Comfort working with APIs, webhooks, and automation workflows connected to Clay
Experience supporting outbound or RevOps teams with Clay-powered data infrastructure at scale
Strong ownership mindset: you improve systems proactively without waiting to be directed

Nice To Haves

Listed as a Clay Expert or Solutions Partner
Experience with Smartlead, Instantly, Apollo, Make, n8n, or LinkedIn Sales Navigator
SQL or Python basics for custom data manipulation
Experience running outbound campaigns at 5,000 or more leads per month
Background in B2B SaaS sales or revenue operations environments

Responsibilities

Design and build advanced Clay tables from scratch to support outbound and enrichment campaigns at scale
Create structured multi-step Clay workflows that handle thousands of records without breaking or requiring manual intervention
Build and maintain reusable Clay data models that support sales, marketing, and RevOps use cases simultaneously
Own the full Clay table lifecycle from initial architecture through ongoing optimization and maintenance
Use Claude as the primary intelligence layer for all Claygent prompt development and structured research automation inside Clay
Write, test, and iterate on Claude prompts until outputs are structured, reliable, and production-ready, not just good enough
Use Claude to extract meaningful signals from websites, LinkedIn profiles, job postings, and unstructured web sources
Continuously refine Claude prompt logic based on output quality, accuracy, and enrichment coverage
Optimize the balance between Claude model selection, prompt complexity, and Clay credit spend for maximum efficiency
Design and implement waterfall enrichment sequences across multiple Clay-connected data providers
Continuously test and improve provider sequencing to maximize coverage while minimizing wasted credits
Diagnose enrichment gaps, monitor accuracy across live Clay workflows, and implement fixes proactively
Integrate Clay outputs directly into Salesforce or HubSpot with clean field mapping, structured data syncing, and automated triggers
Ensure enriched Clay data flows into CRM pipelines without hygiene issues or data loss
Build outbound activation logic that connects Clay-enriched records to sequencing tools and campaign execution
Partner with sales and RevOps to translate targeting requirements into Clay and Claude-powered technical workflows
Support outbound campaigns running at 5,000 or more leads per month using Clay as the core data engine
Proactively surface optimization opportunities across the full Clay and Claude stack