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Samsara

Director, GTM AI Engineering

Samsara

. Run Samsara’s GTM AI Engineering team .

Posted 10/31/2026full-timeRemote • United StatesLead💰 $182,000 - $325,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in AI Engineering leadership, with a strong focus on building and shipping LLM applications and agentic workflows. Proven ability to drive product strategy, establish responsible-AI practices, and foster a high-performing team culture.

Highest-signal resume keywords
AI Engineering LeadershipLLM Application DevelopmentFull-Stack EngineeringEvaluation Framework DesignPredictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringMachine LearningData SciencePythonTypeScriptAWSDatabricksPredictive ModelingData EngineeringLLM Applications
Soft Skills
Excellent CommunicationPeople-First LeadershipProduct Judgment
Tools & Technologies
AI AgentsCoding AssistantsAgent SDKsModel APIsCRM SystemsKnowledge-Management Systems
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Go-To-MarketAI ProductsProduction ReliabilityContext EngineeringHuman-in-the-Loop Approvals

Tech Stack

Tools & technologies
AWSCloudPythonTypeScript

About the role

Key responsibilities & impact
  • Run Samsara’s GTM AI Engineering team
  • Prototype, ship, and iterate on AI agents, copilots, and workflow automations for go-to-market teams
  • Own the architecture of the shared GTM AI platform, including orchestration, LLM and tool gateways, identity and access, MCP, and SDK contracts
  • Design and operate evaluation frameworks using golden datasets, LLM-as-judge, human review loops, regression suites, transcript analysis, and production evaluations
  • Use AI agents, coding assistants, and agent harnesses in daily work and build shared tooling for the team
  • Track models, agent frameworks, MCP and tool ecosystems, and context engineering; make build-versus-buy recommendations
  • Advocate for AI across Sales, Customer Success, and Support through demos and field feedback
  • Own technical and product strategy for GTM AI, including data foundations, instrumentation, governance, observability, model routing, and spend controls
  • Own forecasting, propensity, and CRM data-quality work used by sales leadership
  • Partner with GTM, Product, and Engineering leaders to identify opportunities, define success metrics, and build durable products
  • Establish responsible-AI practices covering safety, privacy, reliability, and human-in-the-loop approvals
  • Hire, develop, and lead an inclusive, high-performing AI Engineering team
  • Embed Samsara’s cultural principles as the company scales

Requirements

What you’ll need
  • 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, including tool use, retrieval, context engineering, and production reliability
  • Production full-stack and cloud engineering experience, such as Python or TypeScript, AWS, and Databricks
  • Experience owning systems that other teams depend on
  • 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 and ability to turn ambiguous business problems into valuable solutions
  • Excellent communication with executives and frontline users
  • People-first leadership style with a track record of hiring, developing, and retaining technical talent
  • Experience building AI or decisioning products for GTM functions is ideal
  • Experience with CRM, customer data, support, and knowledge-management systems is ideal
  • Experience with agent SDKs, harnesses, LLM observability and evaluation tooling, and model APIs is ideal
  • Experience operating AI products at scale, including cost management, monitoring, and governance is ideal
  • Legal right to work at Samsara and in the specified work location

Benefits

Comp & perks
  • Initial RSU grant with no vesting cliff
  • Ongoing equity refresh opportunities tied to performance
  • Performance-based bonus/variable pay
  • Equity for eligible roles
  • Flexible, employee-led remote model
  • Professional development stipend
  • Comprehensive health plans
  • Parental leave plans
  • Flexible working model
  • Remote work support