Staff Product Operations Manager, Platform

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's Product Operations team is looking for a hands-on builder to join our Platform team and help accelerate our enterprise-ready roadmap. You will support the Billing, Org & Auth, and Security product teams, working 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 move ARR. Not "contribute to." Revenue (or an equivalent business result) grows because of decisions you made. You might investigate why enterprise customers stall on a security or permissions requirement, combine signals from thousands of support tickets and customer conversations to find what's blocking expansion, or build a dashboard that helps hundreds of product managers and engineers see how platform gaps translate into pipeline and retention risk.
This is an individual-contributor role for someone who has already shown they can build and ship. You do not need a technical background. However, you do need 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.
You should apply if:
You want to impact the industries that run our world: Your efforts will help 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 you up for success and have built a culture of rapid career development, with countless opportunities to experiment and master your craft in a hyper-growth environment.
You're energized by our opportunity: Our vision 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 encourages you to do your best.
You measure yourself by revenue outcomes: You want your work tied directly to ARR, and you're accountable for the result, not just the activity.
In this role, you will:
Drive ARR through platform decisions. Identify the enterprise-readiness gaps that most limit new business, expansion, and retention, and shape prioritization so that fixing them measurably moves ARR.
Accelerate enterprise-ready delivery by partnering with the Billing, Org & Auth, and Security product teams to define priorities, remove blockers, and track progress against the commitments customers and Sales are waiting on.
Build and ship internal data and AI products that help Product and Engineering teams understand platform 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 for R&D leadership, while preserving the evidence and methodology behind them.
Quantify the revenue impact of platform investments and report on it, so every roadmap bet has a clear, defensible ARR case before and after launch.
Own projects end to end: scope the problem, identify and connect the right data, build the first version, launch it, measure adoption and business impact, 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.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Minimum requirements for the role:
5+ years of professional experience in a role such as product operations, data or product analytics, business operations, consulting, technical product management, or another environment where you solved ambiguous problems with data and technology.
A demonstrated record of building and shipping something useful for real users, such as an internal tool, application, dashboard, automation, data product, or repeatable analytical workflow.
A track record of connecting your work to revenue or an equivalent business result (ARR, retention, expansion, cost), and the ability to show how your decisions caused it.
Experience structuring and analyzing messy or large datasets, validating the results, and explaining what the analysis does and does not prove.
Strong product and customer judgment: you start with the user problem and business outcome, not the technology.