The opportunity
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are…
What you'll do
Build hands-on. Prototype, ship, and iterate on AI agents, copilots, and: workflow automations for GTM teams, from the first demo to a production system people rely on.
Build the platform, not just the apps. Own the architecture of the shared GTM: AI platform: orchestration, LLM and tool gateways, identity and access, and the MCP and SDK contracts that let the GTM web app, Salesforce, Slack, desktop, and Claude plugins share one set of governed capabilities.
Make evals a first-class discipline. Design evaluation frameworks for agent: and LLM behavior, including golden datasets, LLM-as-judge, human review loops, and regression suites, and run them in development and production. Use transcript analysis and eval results to find failures, guide what to fix first, and show quality improving over time.
Lead with AI day to day. Use agents, coding assistants, and agent harnesses: in your own daily work, and build the shared tooling, patterns, and harnesses that make the whole team faster.
Stay ahead of the curve. Track new models, agent frameworks, MCP and tool: ecosystems, and context engineering, and turn them into practical recommendations for Samsara's GTM use cases: what to adopt, what to test, and what to ignore. Make clear build-versus-buy calls on vendor tools, not just models.
Drive adoption with the field. Be the go-to advocate for AI across Sales, CS,: and Support. Run demos, earn credibility with reps and frontline managers, collect real feedback, and turn skeptics into power users.
What they're looking for
- Set the strategy. Own the technical and product strategy for GTM AI,: including the data foundations, instrumentation, governance, and observability these products depend on. Decide which prototypes move onto the shared platform, which merge, and which retire. Own model routing across vendors and the per-user spend controls that keep AI cost in line with value. Influence senior leaders on AI priorities, investment, and the operating model.
- Ship revenue-critical intelligence. Own the forecasting, propensity, and CRM: data-quality work that sales leadership acts on, and keep it calibrated, validated, and clear about its limits. Be comfortable across data and analytics engineering, and act as a business leader when the work calls for it.
- Partner across GTM, Product, and Engineering. Work with Sales, Customer: Success, Support, Enablement, Operations, Product, and Engineering leaders to find high-value opportunities, define success metrics, and turn them into durable products.
- Build for trust. Put a pragmatic responsible-AI approach in place: safety, privacy, reliability, and human-in-the-loop workflows with clear approval and escalation paths. Agents that act on CRM and customer data run with per-user, least-privilege permissions, and changes to systems of record get human approval first.
