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: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
Build and ship internal data and AI products that help Product and: Engineering teams understand product usage, customer friction, and the highest-impact opportunities to improve.
Analyze large volumes of structured and unstructured data—including product: telemetry, support tickets, customer conversations, feature requests, surveys, and product metadata—to find patterns that would be difficult to see manually.
What they're looking for
- Turn one-time analyses into reliable, repeatable tools and workflows with: clear data definitions, quality checks, documentation, and feedback loops.
- Translate complex findings into clear, decision-ready recommendations, while: preserving the evidence and methodology behind them.
- Own projects end to end: scope the problem, identify and connect the right data, build the first version, launch it, measure adoption and quality, and continue improving it.
- Use AI-assisted development tools thoughtfully—checking outputs, debugging: failures, and applying sound judgment rather than treating generated work as automatically correct.