Applied AI Specialist, Commercial Customer Success

Samsara Samsara · Enterprise · GA · Remote · Customer Success

This role focuses on building, testing, deploying, monitoring, and maintaining agentic AI solutions to support Samsara's Commercial Customer Success team. The specialist will own the end-to-end lifecycle of these customer-facing AI agents, integrating them with existing systems and ensuring their continuous improvement based on performance data and evolving product features. The goal is to enhance customer outcomes, improve operational efficiency, and drive revenue retention and growth within the enterprise AI domain.

What you'd actually do

  1. 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.
  2. Define success criteria and evaluation frameworks before you write the first line of code. Build automated test suites that cover real-world scenarios, edge cases, and known failure modes.
  3. Own the deployment, versioning, and rollback plan for every agent. Ensure agents are production-ready before they reach CSMs or customers.
  4. Track agent performance in production — monitor accuracy, latency, failure rates, and customer outcomes. Detect drift before anyone has to tell you something's wrong.
  5. Update agents continuously as Samsara's product evolves, Customer Success playbooks change, and real-world data indicates what needs improvement.

Skills

Required

  • Python
  • Agent architecture design
  • Prompt engineering
  • Integration with external systems (Salesforce, etc.)
  • Testing and evaluation frameworks
  • Deployment and versioning
  • Performance monitoring
  • Iterative development

Nice to have

  • Customer Success workflows
  • Samsara platform knowledge
  • Customer Success tooling

What the JD emphasized

  • own the full lifecycle
  • continuously maintain agentic solutions
  • own the deployment
  • Monitor agent performance in production
  • Update agents continuously

Other signals

  • AI agents
  • full lifecycle ownership
  • customer success enablement