Jobs · Engineering

Head of GTM AI and Engineering

Samsara · United States · 2 wk ago
RemoteRemoteEngineering$196k–$350k/yrFull-time

About the role

Samsara is looking for a Head of GTM AI and Engineering to lead the technical evolution of our Go-To-Market (GTM) strategy. This leader will build, automate, and operate the systems that power Samsara’s entire go-to-market engine, and you’ll do it AI-first. You will lead a high-impact, cross-functional team of AI Engineers, Data Scientists, Data Engineers, and Product Managers dedicated to building advanced AI products, models, and automated workflows.

  • Deliver deep insights, precise recommendations, and seamless automation to supercharge our ~1,500-person GTM organization and directly enhance the experience of several thousand global customers.
  • Move beyond traditional reporting into the engineering of intelligent systems that scale a hyper-growth business.

Requirements

  • Leadership Experience: 12+ years of experience in software engineering, data science, or revenue technology, with a minimum of 5+ years successfully managing other people managers (such as Engineering Managers or Directors) within a complex, high-growth technical ecosystem.
  • Technical Depth: Proven hands-on background in modern AI architectures, Large Language Model (LLM) orchestration, complex data modeling, and production-level SQL/BigQuery paradigms to effectively set technical direction and audit team outputs.
  • Strategic & Operational Hybrid: Demonstrated experience designing and deploying AI-powered workflows or scalable data pipelines at a company of meaningful scale.
  • Cross-Functional Communication: Exceptional ability to translate deeply complex technical and data architecture into plain, actionable business context for non-technical executive stakeholders.

Qualifications

  • Experience working with usage-based or consumption revenue models linked directly to product telemetry and data pipes.
  • Prior engineering oversight at a high-growth Product-Led Growth (PLG) SaaS enterprise.
  • Deep familiarity with core GTM systems and tools (e.g., Salesforce architecture, Snowflake/BigQuery data lakes, and enterprise BI platforms like Looker or Tableau).

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