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GenAIClaudeAI/ML Remote

Director, GTM AI Engineering

Job Overview

You’ll work closely with Data Science, Analytics, and Data Engineering to serve Sales, Customer Success, Support, Enablement, and GTM leadership.

Key points

  1. Build hands-on. Prototype, ship, and iterate on AI agents, copilots, and workflow automations for GTM teams…

  2. Build the platform, not just the apps. Own the architecture of the shared GTM AI platform: orchestration, LLM and tool gateways…

  3. Lead with AI day to day. Use agents, coding assistants, and agent harnesses in your own daily work, and build the shared tooling…

  4. Stay ahead of the curve. Track new models, agent frameworks, MCP and tool ecosystems, and context engineering…

  5. Bachelor’s degree or equivalent relevant work experience.

  6. Hands-on experience building and shipping LLM applications and agentic workflows to production, including tool use, retrieval, context engineering, and production reliability.

  7. Production full-stack and cloud engineering experience (for example Python or TypeScript, AWS, and Databricks), including owning systems that other teams depend on.

  8. Demonstrated experience designing and running evaluation frameworks for LLM or agent systems, and using them to drive quality decisions.

Skills

LLMsCustomer SuccessMachine LearningPrototypingCRMDatabricksSalesforceProduct Strategy

Experience: Senior-level · 10+ years

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