Samsara
Digital Customer Success Manager, AI & Automation
$106K–$160K
Remote - Austin +6 · Remote · Manager · Full-time · Posted Oct 21, 2026
- Location
- Remote - Austin
Remote - CA
Remote - Chicago
Remote - Dallas
Remote - Houston
Remote - Seattle
Remote - CA - Experience
- At least 1 year working directly with LLMs or AI agents in production; 3+ years of experience, preferably in a B2B SaaS environment.
- Visa sponsorship
- No specific visa policy stated; employment offers are contingent on the ability to secure and maintain the legal right to work in the company and specified work location.
About the job
Designs, builds, tests, deploys, and maintains AI agents and automated customer-success journeys to improve customer adoption, retention, and net revenue retention.
What you'll do
- Identify customer friction and use product-usage signals to create proactive, personalized digital interventions.
- Build and integrate agent architectures, prompts, guardrails, and Python code; define evaluation criteria and automated tests.
- Deploy, monitor, maintain, and iteratively improve production agents in collaboration with cross-functional teams.
What they ask for
- At least 1 year working directly with LLMs or AI agents in production, including building and maintaining production systems.
- Python proficiency or skilled at using AI to code, with a track record connecting AI to external systems such as CRMs and APIs.
- Experience using product-usage data to identify and act on customer risk and opportunity; comfort running experiments and interpreting results.
- 3+ years of experience, preferably in a B2B SaaS environment; systems mindset for building repeatable playbooks.
Nice to have
- Direct experience with Anthropic Claude or similar LLM APIs.
- Experience with digital customer-success programs for NRR, retention, or expansion; AI regression tests/evaluation frameworks; or product-led or high-velocity customer environments.
Pay
$105,910 — $160,200 USD (base salary)
Tools
LLMs, Python, Salesforce, Samsara platform, Anthropic Claude
AI focus
Hands-on development and operation of production LLM-based agents and automations for digital customer success, including integrations, evaluation, deployment, monitoring, and iteration.
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