Director, GTM AI Engineering

Role Overview

The Director, GTM AI Engineering will run the AI Engineering team for GTM, working closely with Data Science, Analytics, and Data Engineering to serve Sales, Customer Success, Support, Enablement, and GTM leadership. This is a hands-on Director role, with about 70% of the time spent building and 30% leading the team.

What You Will Do

Build intelligent workflow experiences, including AI agents and copilots that take manual work off sellers’ plates, signals for propensity and prioritization, and data, evaluation, and measurement foundations that make these products reliable and trusted.

Why It Might Be a Fit

The ideal candidate is AI-native, with experience building and shipping LLM applications and agentic workflows to production, including tool use, retrieval, context engineering, and production reliability. They should have a track record of shipping internal or customer-facing AI/ML products with measurable business impact.

Requirements

• 10+ years across software engineering, machine learning, data science, or data platforms, including meaningful leadership experience
• Bachelor’s degree or equivalent relevant work experience
• Hands-on experience building and shipping LLM applications and agentic workflows to production
• Production full-stack and cloud engineering experience
• Demonstrated experience designing and running evaluation frameworks for LLM or agent systems
• Daily, fluent use of AI agents and coding assistants in your own work
• A track record of shipping internal or customer-facing AI/ML products with measurable business impact
• Experience with predictive modeling, experimentation, analytics, and data engineering foundations
• Strong product judgment and the ability to turn ambiguous business problems into simple, valuable solutions
• Excellent communication with both executives and frontline users

Benefits

• Flexible working model
• Professional development stipend
• Comprehensive health and parental leave plans
• RSU grant with no vesting cliff
• Ongoing refresh opportunities tied to performance