AI Engineer

Samsara's Commercial Customer Success team supports hundreds of customers who depend on our platform every day to manage their fleets, equipment, and operations. We're building the AI infrastructure to make that possible at scale, and we need an applied AI specialist to build and own it. As an embedded AI Engineer in Customer Success, you'll design, build, test, deploy, and continuously maintain agentic solutions that power this next chapter. You'll own the full lifecycle: from the first prompt through production, from launch through every iteration as our Customer Success playbooks evolve, and as our product ships new features and real-world performance data surfaces what needs to change next.

• Design agent architectures, write prompts, integrate with external systems (Salesforce, Samsara platform, Customer Success tools), and write clean Python code that the team can maintain.
• Define success criteria and evaluation frameworks before writing code; build automated test suites that cover real-world scenarios, edge cases, and known failure modes.
• Own the deployment, versioning, and rollback plan for every agent; ensure agents are production-ready before they reach CSMs or customers.
• Track agent performance in production — monitor accuracy, latency, failure rates, and customer outcomes; detect drift before anyone has to tell you something's wrong.
• Update agents continuously as Samsara's product evolves, Customer Success playbooks change, and real-world data indicates what needs improvement.

• Hands-on experience building and maintaining production LLM-based agents or automations.
• Python proficiency and a track record of connecting AI to external systems: CRMs, APIs, customer data, and operational tools.
• The discipline to define what success looks like before you start building — and an eval framework that catches problems before your users do.
• A genuine curiosity about Customer Success workflows and customer problems, not just the technical challenge.
• Intellectual honesty about what AI can and can't do well — and the judgment to design guardrails and fallback paths accordingly.
• 3+ years of software engineering or technical experience, with at least 1 year working hands-on with LLMs or AI agents in a production environment.
• Experience in a B2B SaaS environment.

• Direct experience with Anthropic Claude or similar LLM APIs.
• A background working with or alongside a Customer Success or Revenue Operations team.
• Experience building regression test suites or eval frameworks for non-deterministic AI systems.
• Familiarity with Salesforce, Gainsight, or similar CRM and Customer Success platforms.

Annual base salary: $105,910—$160,200 USD. Total rewards include base salary, performance-based bonus/variable pay, and equity (for eligible roles), plus a professional development stipend, comprehensive health and parental leave plans, and more.

Remote - US, excluding the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.