Principal Product Manager

Sumo Logic Sumo Logic · Enterprise · Noida, Uttar Pradesh, India · Product Management

The Principal Product Manager will lead the development of AI-powered investigation and reliability experiences for engineers and operators using Sumo Logic's platform. This role involves defining and owning the roadmap for current data experiences (log search, metrics, tracing, dashboards) and reliability features (monitors, alerts, SLOs), while also shaping the future of AI agent-assisted workflows that reason across telemetry data to provide faster, more accurate incident resolution and proactive detection. The role requires a strong background in observability and a deep understanding of how AI agents can enhance operational and security telemetry analysis, with a focus on enterprise governance.

What you'd actually do

  1. Set the multi-quarter vision for Sumo Logic's investigation and reliability experiences, and turn it into a roadmap engineering can execute against.
  2. Own the roadmap, health, and competitiveness of the current data and reliability product surfaces.
  3. Define how search, metrics, tracing, dashboards, monitors, alerts, and SLOs evolve from human-navigated tools into more intuitive, AI-assisted experiences.
  4. Productize investigation workflows that reason across telemetry and related operational context, and surface findings customers can act on.
  5. 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.

Skills

Required

  • 8+ years of product management experience
  • real observability or monitoring domain background
  • owned products in observability, monitoring, incident response, APM, or a closely adjacent operational-telemetry space
  • Deep, first-hand understanding of the observability surface area including logs, metrics, traces, dashboards, monitors, alerts, and SLOs
  • understanding 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
  • track record of owning broad, technically deep surfaces and setting direction that other teams build on
  • Strong technical instincts around query engines, time-series and trace data, and alerting systems
  • Strong analytical skills and comfort using telemetry, dashboards, SQL, and usage data to understand adoption, friction, reliability, and cost
  • Excellent communication across technical and business audiences
  • ability to write clear proposals, decision docs, PRDs, and acceptance criteria
  • High ownership and drive to make progress across a large, ambiguous, fast-moving surface

Nice to have

  • 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
  • judgment to know where an AI-assisted experience should replace a manual flow and where depth must stay

What the JD emphasized

  • genuine observability domain background
  • This is a hard requirement
  • Deep, first-hand understanding of the observability surface area
  • Proven ability to run a live, at-scale product
  • High ownership and drive to make progress across a large, ambiguous, fast-moving surface

Other signals

  • AI agents
  • intelligent, agent-assisted investigation
  • reason across logs, metrics, traces
  • skills, tools, and agents are built on top of the data surfaces