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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Engineering leadership, with a strong focus on building and shipping LLM applications and agentic workflows. Proven ability to drive product strategy, establish responsible-AI practices, and foster a high-performing team culture.
Highest-signal resume keywords
AI Engineering LeadershipLLM Application DevelopmentFull-Stack EngineeringEvaluation Framework DesignPredictive Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringMachine LearningData SciencePythonTypeScriptAWSDatabricksPredictive ModelingData EngineeringLLM Applications
Soft Skills
Excellent CommunicationPeople-First LeadershipProduct Judgment
Tools & Technologies
AI AgentsCoding AssistantsAgent SDKsModel APIsCRM SystemsKnowledge-Management Systems
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
Go-To-MarketAI ProductsProduction ReliabilityContext EngineeringHuman-in-the-Loop Approvals
Tech Stack
Tools & technologiesAWSCloudPythonTypeScript
About the role
Key responsibilities & impact- Run Samsara’s GTM AI Engineering team
- Prototype, ship, and iterate on AI agents, copilots, and workflow automations for go-to-market teams
- Own the architecture of the shared GTM AI platform, including orchestration, LLM and tool gateways, identity and access, MCP, and SDK contracts
- Design and operate evaluation frameworks using golden datasets, LLM-as-judge, human review loops, regression suites, transcript analysis, and production evaluations
- Use AI agents, coding assistants, and agent harnesses in daily work and build shared tooling for the team
- Track models, agent frameworks, MCP and tool ecosystems, and context engineering; make build-versus-buy recommendations
- Advocate for AI across Sales, Customer Success, and Support through demos and field feedback
- Own technical and product strategy for GTM AI, including data foundations, instrumentation, governance, observability, model routing, and spend controls
- Own forecasting, propensity, and CRM data-quality work used by sales leadership
- Partner with GTM, Product, and Engineering leaders to identify opportunities, define success metrics, and build durable products
- Establish responsible-AI practices covering safety, privacy, reliability, and human-in-the-loop approvals
- Hire, develop, and lead an inclusive, high-performing AI Engineering team
- Embed Samsara’s cultural principles as the company scales
Requirements
What you’ll need- 10+ years across software engineering, machine learning, data science, or data platforms, including meaningful leadership experience
- Regularly write code
- Bachelor’s degree or equivalent relevant work experience
- Hands-on experience building and shipping LLM applications and agentic workflows to production, including tool use, retrieval, context engineering, and production reliability
- Production full-stack and cloud engineering experience, such as Python or TypeScript, AWS, and Databricks
- Experience owning systems that other teams depend on
- Experience designing and running evaluation frameworks for LLM or agent systems
- Daily, fluent use of AI agents and coding assistants
- Track record of shipping internal or customer-facing AI/ML products with measurable business impact
- Experience with predictive modeling, experimentation, analytics, and data engineering foundations
- Strong product judgment and ability to turn ambiguous business problems into valuable solutions
- Excellent communication with executives and frontline users
- People-first leadership style with a track record of hiring, developing, and retaining technical talent
- Experience building AI or decisioning products for GTM functions is ideal
- Experience with CRM, customer data, support, and knowledge-management systems is ideal
- Experience with agent SDKs, harnesses, LLM observability and evaluation tooling, and model APIs is ideal
- Experience operating AI products at scale, including cost management, monitoring, and governance is ideal
- Legal right to work at Samsara and in the specified work location
Benefits
Comp & perks- Initial RSU grant with no vesting cliff
- Ongoing equity refresh opportunities tied to performance
- 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
- Remote work support
