Senior Program Manager, Sales Programs – AI

Samsara
Remote - USPosted 26 March 2026

Job Description

Who we are 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 helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale. Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara is looking for a talented and execution-focused Senior Program Manager to join our Sales Programs AI team. In this role, you’ll drive the successful delivery of Samsara’s most critical AI initiatives, ranging from internal productivity copilots to customer-facing AI applications. You’ll work in tight partnership with our Principal AI Architect and partner cross-functionally with key stakeholders in Sales, Revenue Operations, and other Go-To-Market organizations. This role requires strong program management skills, the ability to operate across technical and business domains, and a demonstrated passion for emerging AI technologies. The ideal candidate is organized, curious, and able to convert ideas into action in a fast-paced environment. This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support in order to make a larger impact. You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time. You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team. In this role, you will: Drive execution of AI programs across internal and customer-facing domains (e.g., LLM copilots, AI knowledge assistants, etc). Partner with the AI Engineering team to operationalize prototypes into scalable programs. Define program charters, project plans, stakeholder maps, and milestone schedules. Facilitate alignment across AI Product, AI Engineering, GTM, and Legal/Data Governance teams. Track and report KPIs around adoption, performance, and business impact. Lead change management efforts: enablement, communications, and rollout plans. Stay connected to developments in GenAI, LLMs, and related AI tooling to inform roadmap planning. Champion, role model, and embed Samsara’s values and operating principles as we scale globally and across new offices. Minimum requirements for the role: Bachelor’s degree from a 4-year institution. 6–8 years of progr ... (truncated, view full listing at source)
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