Staff Product Operations Manager, Platform
New
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SamsaraIoT software
This is a remote position open to candidates based in the United States and Canada.Full-TimeManager
SalaryAnnual base salary: $126,000 — $202,500 USD. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance.
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Job Details
- Experience
- 8+ years of professional experience
- Required Skills
- Data AnalysisProduct OperationsData analytics
Requirements
- Have 8+ years of professional experience in product operations, data or product analytics, business operations, consulting, technical product management, or a similar environment.
- Demonstrate a record of building and shipping something useful for real users, such as an internal tool, application, dashboard, automation, data product, or repeatable analytical workflow.
- Show how work and decisions contributed to revenue or an equivalent business result, such as ARR, retention, expansion, or cost.
- Have experience structuring and analyzing messy or large datasets, validating results, and explaining what an analysis does and does not prove.
- Apply strong product and customer judgment, starting with the user problem and business outcome.
- Explain technical or analytical work clearly to non-technical partners and executives.
- Show ownership, curiosity, attention to detail, and the ability to learn quickly and work through ambiguity.
- Ideally have experience in a B2B technology company or working closely with Product and Engineering teams.
- Ideally have Product Operations experience defining and tracking product roadmaps and feature requests and bringing customer feedback into product discussions.
- Familiarity with enterprise platform areas such as billing and monetization, identity, access, organization management, security, or compliance is a plus.
Responsibilities
- Identify enterprise-readiness gaps that limit new business, expansion, and retention, and shape priorities to measurably move ARR.
- Partner with the Billing, Org & Auth, and Security product teams to define priorities, remove blockers, and track delivery.
- Build and ship internal data and AI products that help Product and Engineering teams understand platform usage, customer friction, and improvement opportunities.
- Analyze product telemetry, support tickets, customer conversations, feature requests, surveys, and product metadata to identify patterns.
- Turn one-time analyses into repeatable tools and workflows with data definitions, quality checks, documentation, and feedback loops.
- Translate findings into decision-ready recommendations for R&D leadership while preserving evidence and methodology.
- Quantify and report the revenue impact of platform investments before and after launch.
- Own projects end to end, from scoping and connecting data through launch, adoption measurement, and continued improvement.
- Use AI-assisted development tools thoughtfully, checking outputs and debugging failures.
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