Principal Product Manager

About this role

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Skills you'll use

What you'll do

• Set the multi-quarter vision for Sumo Logic's investigation and reliability experiences, and turn it into a roadmap engineering can execute against.
• Own the roadmap, health, and competitiveness of the current data and reliability product surfaces.
• Define how search, metrics, tracing, dashboards, monitors, alerts, and SLOs evolve from human-navigated tools into more intuitive, AI-assisted experiences.
• Productize investigation workflows that reason across telemetry and related operational context, and surface findings customers can act on.
• Own alerting accuracy, noise reduction, and operational health signals.
• Shape how skills, tools, and agents are built on top of the data surfaces, and ensure they respect enterprise controls such as RBAC, audit, cost limits, and approvals.
• Work with engineering and architecture on query execution, performance, and reliability at enterprise scale.
• Translate strategy into clear PRDs, proposals, user stories, acceptance criteria, and phased rollout plans.

Who can apply

• Use telemetry to understand how customers search, investigate, and configure alerts, and where they hit friction, latency, false positives, or cost.
• Create leadership-facing proposals that frame tradeoffs across customer demand, governance, performance, cost, and long-term architecture.
• 8+ years of product management experience with real observability or monitoring domain background. You have owned products in observability, monitoring, incident response, APM, or a closely adjacent operational-telemetry space. This is a hard requirement.
• Deep, first-hand understanding of the observability surface area including logs, metrics, traces, dashboards, monitors, alerts, and SLOs, and of how engineers and operators actually investigate incidents and decide what to trust.
• Proven ability to run a live, at-scale product, owning the roadmap, health, and competitiveness of shipping surfaces while driving a larger transformation.
• A track record of owning broad, technically deep surfaces and setting direction that other teams build on.
• Familiarity with how AI and agents are changing data interaction, including natural-language investigation, tools, guardrails, and human-in-the-loop action, or the ability to ramp quickly.
• Strong technical instincts around query engines, time-series and trace data, and alerting systems, plus the judgment to know where an AI-assisted experience should replace a manual flow and where depth must stay.

About Sumo Logic

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