AI Operations, GTM
Leads AI operations within RevOps to audit GTM workflows, build agentic automations using Clay, Claude, and Hightouch, own AI context layers, and train sales, marketing, CS teams on AI tools. Requires RevOps/Solutions Engineering experience, AI experimentation, and teaching skills.
About the job
What You'll Do
- Audit GTM workflows across sales, marketing, and CS to identify high-impact opportunities for AI and agentic automation.
- Design and build agentic workflows using tools like Clay, Claude, and Hightouch that replace manual busywork and accelerate pipeline.
- Own the AI context layer. Build and maintain Claude skills, Glean knowledge resources, knowledge graphs, and other systems that make our AI tools smarter over time.
- Stay obsessively current on new AI releases, models, and tooling. Prototype fast, cut what doesn't work, and bring what does back to the team.
- Lead enablement across GTM teams. Train reps, marketers, and CSMs on new AI-powered workflows and drive sustained adoption.
- Work closely with the RevOps and Systems team to make sure everything you build plugs cleanly into the existing stack.
Who You Are
- You've probably already built something with Clay or Claude that nobody asked you to build.
- You've worked in RevOps, GTM Operations, or Solutions Engineering and understand how go-to-market teams actually operate day-to-day.
- You're a learner first. You stay on top of AI releases, you experiment constantly, and you get excited when a new model drops because you immediately see how it applies.
- You're also a natural teacher. You can take something complex and make it click for a rep who just wants to know how to close faster.
- You're comfortable with APIs, prompts, and stitching tools together.
- You thrive when there's no playbook. This role is new and you'll be writing the rules as you go.
Nice To Have
- Experience building enrichment and outreach workflows with Clay.
- Experience building with Claude, including skills, custom prompts, and agentic workflows.
- Familiarity with knowledge graphs and building AI context layers (Glean, vector search, RAG systems).
- Background at a data or developer tools company.
- Experience with Hightouch or the composable CDP / data activation ecosystem.
- You've run internal enablement or training programs before and people actually showed up to the second session.
Compensation
$160,000 - $200,000 USD per year OTE. Meaningful equity compensation in the form of ISO options, early exercise, and 10-year post-termination exercise window.
Skills
Clay, Claude, Hightouch, Glean, APIs, Prompt Engineering, Knowledge Graphs, RAG, Vector Search, AI Agents
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