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
You want to impact the industries that run our world: The software, firmware, and hardware you build 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 want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.
You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.
You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.
You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we’re all racing toward our connected operations vision, and we intend to win – together.
Build and evolve the core systems that review safety detections and determine: which events are surfaced to customers
What they're looking for
- Improve detection precision by developing intelligent approaches to: identifying ambiguous cases, deflecting low-value reviews, and automating triage where confidence is high
- Work at the intersection of backend systems, data, and AI-driven decisioning: to improve both customer-facing product quality and internal review efficiency
- Partner closely with product, design, AI and ML infra to turn real-world: review outcomes into better model feedback loops and higher-quality safety detections over time
- Own complex projects end-to-end, from shaping the approach and technical: design through rollout, measurement, and iteration in production
