Principal Product Manager

Role overview

Principal Product Manager at Sumo Logic

What You Will Be Doing Set the multi-quarter vision for Sumo Logic's investigation and reliability experiences, and turn it into a roadmap engineering can execute against.

Responsibilities

• You will own alerting accuracy, noise reduction, and operational health signals both as capabilities customers depend on today and as the foundation for more automated, agent-assisted detection and investigation.
• Work with engineering and architecture on query execution, performance, and reliability at enterprise scale.

Required qualifications

• 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.

Employment details

• Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection. #LI-Hybrid
• Location: Bengaluru [Karnataka] [India]

About the employer

• Principal Product Manager - Agentic Investigation & Reliability Experiences Sumo Logic is hiring a Principal Product Manager to lead how engineers and operators investigate incidents, understand reliability risk, and act on their operational and security telemetry.
• About Us Sumo Logic, Inc. helps make the digital world secure, fast, and reliable by unifying critical security and operational data through its Intelligent Operations Platform.
• Sumo Logic Privacy Policy .

Additional role details

• The observability category was built around collecting telemetry and giving people tools to navigate it: dashboards, queries, monitors, traces, and alerts.
• Customer expectations are now shifting.
• Teams don't just want more dashboards; they want help getting from a signal to a resolution, understanding what's broken, why, what's impacted, and what to do next.
• As AI agents move into production operations, this role owns how Sumo Logic brings intelligent, agent-assisted investigation and reliability workflows to customers, grounded in evidence, context, and enterprise governance.
• This is a senior, high-ownership role.
• It requires genuine observability domain background.
• You should have lived in this space and understand how monitoring, troubleshooting, and reliability actually work, combined with the ambition to define a new category of experience on top of it.
• What You Will Own The current data experiences.
• Log Search, Live Tail, query and query optimization, Metrics Search, Tracing, Dashboards, and the data-experience UI.
• This is a live, revenue-generating product with real customers, and keeping it strong is part of the job.
• You own its health, roadmap, and competitiveness today while steering it toward an AI-native future, focusing new investment where it strengthens investigation, speed, and value for both new and power users.
• The reliability and alerting surface.
• Monitors, Alerts, SLOs, Scheduled Searches, and the reliability workflows around them.
• The agentic investigation experience.
• You will define how a user moves from a search, a monitor, a dashboard, or an alert to likely cause faster, with supporting evidence.
• This means productizing investigation workflows that reason across logs, metrics, traces, monitors, dashboards, and related context, and evolving them from reactive troubleshooting toward more proactive detection over time.
• 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.
• Translate strategy into clear PRDs, proposals, user stories, acceptance criteria, and phased rollout plans.
• 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.
• What You Bring 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 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, and the 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.
• Must-Have Qualities Runs today, builds tomorrow.
• Keeps a live product healthy and competitive while reinventing it, and knows what to sustain and what to rebuild.
• Deep observability judgment.
• Understands search, metrics, tracing, and alerting well enough to make hard architecture and tradeoff calls with engineering.
• Operator empathy.
• Knows what makes an alert trustworthy, an investigation fast, and a recommendation credible enough to act on.
• Governance-minded.
• Treats RBAC, audit, cost, and approvals as part of the product.
• Sets direction.
• Defines a vision for a broad area and rallies teams around it.
• Analytical.
• Uses data to prioritize, validate, and refine decisions.
• High drive and ownership.
• Pushes through ambiguity across a large surface and drives execution to conclusion.
• Tradeoff thinker.
• Frames options and recommendations clearly for leadership.
• Built to address the increasing complexity of modern cybersecurity and cloud operations challenges, we empower digital teams to move from reaction to readiness-combining agentic AI-powered SIEM and log analytics into a single platform to detect, investigate, and resolve modern challenges.
• Customers around the world rely on Sumo Logic for trusted insights to protect against security threats, ensure reliability, and gain powerful insights into their digital environments.
• For more information, visit www.sumologic.com.