Product Operations Manager

Role overview: Samsara's Product Operations team is looking for a hands-on builder who can help Product and Engineering teams make faster, better decisions with customer and product data. You will be part of the Product Operations team and will work closely with R&D leaders to turn ambiguous questions into rigorous analyses, repeatable workflows, and internal tools used across our Product and Engineering organization. You might investigate why customers struggle with a workflow, combine signals from thousands of support tickets and customer conversations, or build a dashboard that helps hundreds of product managers and engineers understand product adoption and customer pain. This is an individual-contributor role for someone who has already shown that they can build and ship. You do not need a technical background. However, you do need to be able to use modern AI and development tools to move beyond a prototype: work with data, write and debug code using AI, validate the results, put a useful tool in front of users, and improve it until people trust and rely on it. This is a remote position open to candidates based in the United States and Canada. Relocation assistance will not be provided for this role.

What you'll do

• 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.
• 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.