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Salary: USD 130,000 - 200,000 / annual
Hightouch is an Agentic Marketing Platform powered by a Composable CDP, trusted by enterprises like Domino's, Spotify, and Ramp. The company was founded in 2019, is headquartered in San Francisco, and is a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms.
You'll join the RevOps team as a Go-to-Market Engineer, embedding within the organization to rewire how sales, marketing, and customer success teams operate. Your mission is to identify and implement agentic automation opportunities across the GTM function, turning manual workflows into AI-powered processes that accelerate pipeline and improve team efficiency.
Key responsibilities include:
- Auditing GTM workflows across sales, marketing, and CS to identify high-impact opportunities for AI and agentic automation
- Designing and building agentic workflows using tools like Clay, Claude, and Hightouch that eliminate manual busywork
- Owning the AI context layer by building and maintaining Claude skills, Glean knowledge resources, and knowledge graphs that make AI tools smarter over time
- Staying current on new AI releases, models, and tooling; prototyping rapidly and bringing validated solutions back to the team
- Leading enablement across GTM teams, training reps, marketers, and CSMs on new AI-powered workflows and driving adoption
- Collaborating with RevOps and Systems teams to ensure seamless integration with the existing tech stack
You're a builder and teacher who thrives in fast-moving, undefined spaces. You likely have hands-on experience with Clay or Claude, understand GTM operations from roles in RevOps, GTM Operations, or Solutions Engineering, and are obsessed with staying on the edge of what's possible with AI. You're comfortable with APIs, prompts, and stitching tools together. You excel at taking complex concepts and making them accessible to frontline teams.
Nice-to-have experience includes building enrichment and outreach workflows with Clay, building with Claude (skills, custom prompts, agentic workflows), familiarity with knowledge graphs and AI context layers (Glean, vector search, RAG systems), background at a data or developer tools company, experience with Hightouch or the composable CDP ecosystem, and a track record of running internal enablement programs with strong adoption.
