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Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, a platform that enables organizations to harness IoT data for actionable insights across physical operations including agriculture, construction, field services, transportation, and manufacturing.
The Revenue Operations AI & Data Team is building the future of go-to-market strategy through AI-driven intelligence, personalization, and speed. As a Senior AI Engineer II, you will lead development of production-grade generative AI applications that power Samsara's GTM engine.
Key responsibilities include:
- Building GenAI tools that help sellers find and connect with the right customers faster
- Developing AI-powered copilots that surface CRM insights and sales knowledge in real time
- Launching AI features that improve efficiency and personalization across the sales funnel
- Working hands-on across the full stack: from model experimentation to app development and infrastructure
- Collaborating with engineers, data scientists, and sales operators in a fast-moving environment
You will work at the cutting edge of applied AI, generating high-quality outreach at scale, building copilots for sellers, and enabling voice and chat interfaces. You'll partner closely with revenue operations, sales leadership, product, and engineering teams with autonomy to move fast, test ideas, and scale impact.
Minimum qualifications:
- 5+ years of industry experience in software engineering, applied machine learning, or AI product development
- Demonstrated success building and deploying production-ready AI/ML applications, particularly in generative AI (LLMs, prompt engineering, embeddings, RAG systems)
- Expert-level Python and GenAI frameworks (LangChain, OpenAI SDK, MCP, etc.)
- Experience developing backend systems and APIs with product and design collaboration
- Strong product sense and ability to work in cross-functional, fast-paced environments
- US work authorization
Ideal candidates also have:
- Experience with AI products in sales, go-to-market, or revenue operations contexts
- Familiarity with enterprise tools (Salesforce, Gong, Outreach, or similar CRM/enablement platforms)
- Experience integrating vector databases, retrieval systems, or streaming voice/chat pipelines
- Track record of leading technical initiatives or mentoring engineers in high-growth teams
