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Salary: USD 105,910 - 160,200 / annual
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform enabling organizations in agriculture, construction, field services, transportation, and manufacturing to harness IoT data for actionable insights. The company helps improve safety, efficiency, and sustainability across industries representing over 40% of global GDP.
You will be a hands-on developer responsible for designing, testing, deploying, and maintaining agentic AI systems to support a digital-first post-sales strategy. The Commercial Customer Success team supports hundreds to thousands of customers daily, and this new role will scale impact through automation and AI-driven interventions.
Key responsibilities:
- Customer Journey Optimization: Identify friction points in customer experience and create proactive, automated, personalized interventions.
- End-to-End Execution: Write code, run experimental tests, and maintain production solutions.
- Cross-Functional Alignment: Partner across teams to ensure cohesive user experience.
- Analysis: Identify customer pain points and opportunities using analytics and customer-centric thinking.
- Build: Design agent architectures, write prompts, integrate with external systems (Salesforce, Samsara platform, CS tools), build guardrails, and write maintainable Python code.
- Test: Define success criteria and evaluation frameworks; build automated test suites covering real-world scenarios and edge cases.
- Deploy: Own deployment, versioning, and rollback plans; ensure agents are production-ready and simplify rather than complicate customer experience.
- Monitor: Track agent performance in production—accuracy, latency, failure rates, and customer outcomes; detect drift proactively.
- Maintain & Iterate: Update agents continuously as Samsara's product evolves and real-world data indicates improvements.
- Champion Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team).
Success is measured by key customer outcome metrics: increased adoption, minimized churn risk, and higher NRR tied to deployed agents.
This is a remote position open to US candidates except those in the San Francisco Bay Area, NYC Metro Area, and Washington, D.C. Metro Area.
Requirements:
- Hands-on experience building and maintaining production LLM-based agents or automations, with at least 1 year working directly with LLMs or AI agents in production.
- Python proficiency or skilled at using AI to code; track record of connecting AI to external systems (CRMs, APIs, customer data, operational tools).
- Experience using product usage data to spot risk and opportunity (health signals, activation milestones, usage floors) and acting on it before renewal conversations.
- Comfort running experiments and drawing sound conclusions from data to improve performance.
- Systems mindset for managing high-volume books of business: build repeatable playbooks and motions, not just manage individual relationships.
- 3+ years of experience, preferably in a B2B SaaS environment.
Ideal candidate also has:
- Direct experience with Anthropic Claude or similar LLM APIs.
- Experience building programs to support NRR, retention, or expansion outcomes on digital or long-tail books of business (100+ accounts).
- Experience building regression test suites or eval frameworks for non-deterministic AI systems.
- Experience in a product-led or high-velocity customer environment.
