Overview
Samsara's Product Operations team is hiring a hands-on individual contributor to join the Platform team and accelerate its enterprise-ready roadmap. The role supports the Billing, Org & Auth, and Security product teams and works with R&D leaders to turn ambiguous questions into analyses, repeatable workflows, and internal tools.
What you'll do
- Identify the enterprise-readiness gaps that most limit new business, expansion, and retention, and shape prioritization so that fixing them measurably moves ARR.
- Partner 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 the company scales globally and across new offices.
What you'll need
- 8+ 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.
- Clear written and verbal communication, including explaining technical or analytical work to non-technical partners and executives without losing the important details.
- High ownership, curiosity, and attention to detail; comfortable learning quickly, asking sharp questions, forming a point of view, and iterating through ambiguity.
Nice to have
- Experience in a B2B technology company or working closely with Product and Engineering teams.
- Experience in Product Operations functions: defining and tracking product roadmaps and feature requests, and bringing the voice of the customer to every product conversation.
- Familiarity with enterprise platform domains such as billing and monetization, identity, access, and org management, or security and compliance, and with what enterprise buyers require in each.
Details
- Remote position open to candidates residing in the US, excluding the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
- Does not require a technical background, but requires the ability to use modern AI and development tools to work with data, write and debug code using AI, validate results, and put a useful tool in front of users.
- Annual base salary range: $126,000 to $202,500 USD, with pay varying by city of residence, job-related knowledge, skills, and experience.
- Eligible for an initial RSU grant with no vesting cliff and ongoing refresh opportunities, subject to plan terms and conditions.
Read the full description and apply on the company’s own careers page.