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Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining production LLM-based agents, with proficiency in Python and experience integrating AI with external systems. Capable of analyzing customer data to drive proactive interventions and improve customer success outcomes.
Highest-signal resume keywords
LLM-Based Agent DevelopmentPython ProficiencyIntegration With CRMs And APIsCustomer Data AnalysisBuilding Regression Test Suites
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, test, deploy, and maintain agentic systems supporting a digital-first post-sales strategy
- Identify customer journey friction points and create proactive, automated, personalized interventions
- Write code, execute experimental tests, and maintain production solutions
- Partner across teams to ensure a cohesive user experience
- Analyze customer pain points and opportunities using customer-centric and analytical approaches
- Build digital Customer Success playbooks and agent architectures
- Write prompts and integrate agents with Salesforce, the Samsara platform, Customer Success tools, APIs, customer data, and operational systems
- Build guardrails and maintain clean Python code
- Define success criteria and evaluation frameworks
- Build automated test suites covering real-world scenarios, edge cases, and failure modes
- Own agent deployment, versioning, rollback plans, and production readiness
- Monitor agent accuracy, latency, failure rates, drift, and customer outcomes
- Continuously update agents as products, playbooks, and data evolve
- Champion Samsara’s cultural principles as the company scales globally
Requirements
What you’ll need- 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 skill at using AI to code
- Track record connecting AI to external systems, including CRMs, APIs, customer data, and operational tools
- Experience using product usage data to identify risk and opportunity
- Comfort running experiments and drawing conclusions from data
- Systems mindset for managing a high-volume book of business
- 3+ years of experience, preferably in a B2B SaaS environment
- Direct experience with Anthropic Claude or similar LLM APIs (ideal)
- Experience supporting NRR, retention, or expansion outcomes across 100+ accounts (ideal)
- Experience building regression test suites or evaluation frameworks for non-deterministic AI systems (ideal)
- Experience in a product-led or high-velocity customer environment (ideal)
Benefits
Comp & perks- 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
- Above-market total compensation opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Agent DeploymentAutomated TestingVersioning And Rollback PlansData-Driven ExperimentationEvaluation Frameworks
Soft Skills
Cross-Team CollaborationCustomer-Centric MindsetAnalytical Thinking
Tools & Technologies
SalesforceSamsara PlatformCustomer Success ToolsAPIs
Industry Keywords
B2B SaaSCustomer SuccessNon-Deterministic AI SystemsProduct-Led Environment