Head of Gtm AI and Engineering

Samsara Samsara · Enterprise · United States · Remote · Executive

This role leads the technical evolution of Samsara's Go-To-Market (GTM) strategy, focusing on building, automating, and operating AI-first systems. The Head of GTM AI and Engineering will manage a cross-functional team to develop advanced AI products, models, and automated workflows for internal GTM operations, aiming to scale the business through intelligent systems.

What you'd actually do

  1. Lead and Scale a Multi-Disciplinary Team: Hire, develop, and lead an inclusive, engaged, and high-performing team of AI Engineers, Data Scientists, Data Engineers, and Product Managers.
  2. Shape Functional AI & Strategy: Define the 3-year vision and technical roadmap for AI deployment across GTM systems, striking the optimal balance between automated AI agents and essential human judgment.
  3. Architect Intelligent Systems: Direct the creation of production-grade AI models, consumption forecasting engines, and automated data pipelines that eliminate manual operational bottlenecks across CRM and product telemetry layers.
  4. Maintain an Uncompromising Quality Bar: Set execution standards for AI-generated analysis and model outputs, building rigorous review frameworks so business executives can implicitly trust the system's data.
  5. Collaborate Cross-Functionally: Partner at the executive level with Engineering, Product, and RevOps leaders to implement highly scalable data models, metric standards, and self-serve tooling across the enterprise.

Skills

Required

  • Leadership Experience (12+ years, 5+ managing people managers)
  • Technical Depth in modern AI architectures
  • Large Language Model (LLM) orchestration
  • complex data modeling
  • production-level SQL/BigQuery
  • Strategic & Operational Hybrid experience
  • Cross-Functional Communication

Nice to have

  • Experience with usage-based or consumption revenue models
  • Prior engineering oversight at a high-growth Product-Led Growth (PLG) SaaS enterprise
  • Deep familiarity with core GTM systems and tools

What the JD emphasized

  • AI-first
  • AI Engineers, Data Scientists, Data Engineers, and Product Managers
  • advanced AI products, models, and automated workflows
  • AI-first world
  • engineering of intelligent systems
  • AI deployment
  • automated AI agents
  • production-grade AI models
  • automated data pipelines
  • AI-generated analysis
  • AI-powered workflows
  • Large Language Model (LLM) orchestration

Other signals

  • AI-first GTM strategy
  • build advanced AI products, models, and automated workflows
  • engineering of intelligent systems that scale a hyper-growth business
  • AI-powered workflows or scalable data pipelines
  • Large Language Model (LLM) orchestration