Director, GTM AI Engineering

The role

You will run the AI Engineering team for GTM, spending 70% of your time building and 30% leading. You will build AI agents, copilots, and workflow automations to serve Sales, Customer Success, Support, and Enablement teams.

What you will do

• Prototype, ship, and iterate on AI agents, copilots, and workflow automations
• Own the architecture of the shared GTM AI platform
• Design evaluation frameworks for agent and LLM behavior
• Use agents, coding assistants, and agent harnesses in daily work
• Track new models, agent frameworks, and tool ecosystems
• Drive AI adoption across Sales, CS, and Support
• Own technical and product strategy for GTM AI
• Own forecasting, propensity, and CRM data-quality work
• Partner across GTM, Product, and Engineering to find opportunities
• Implement a pragmatic responsible-AI approach

Required qualifications

• 10+ years across software engineering, machine learning, data science, or data platforms, including meaningful leadership experience
• Regularly write code
• 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 (Python or TypeScript, AWS, and Databricks)
• Experience designing and running evaluation frameworks for LLM or agent systems
• Daily, fluent use of AI agents and coding assistants
• 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
• Excellent communication with executives and frontline users
• People-first leadership style with a track record of hiring and developing technical talent

Nice to have

• Experience building AI or decisioning products for GTM functions
• Experience with CRM, customer data, support, and knowledge-management systems (Salesforce, Gong, Gainsight, Zendesk, and Databricks)
• Experience with agent SDKs and harnesses (Claude Code / Agent SDK, OpenAI Agents SDK, LangGraph, or similar)
• Experience with LLM observability tooling and eval tooling (Braintrust or MLflow)
• Experience with model APIs from Anthropic, OpenAI, and Google
• Experience operating AI products at scale, including cost management, monitoring, and governance
• A visible habit of learning in public

Benefits

• Base salary
• Performance-based bonus/variable pay
• Equity
• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans

Before you apply

• All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location

About the company

Samsara is the pioneer of the Connected Operations Cloud, a platform that enables organizations to harness Internet of Things (IoT) data. The company helps improve the safety, efficiency and sustainability of physical operations.