Find jobs
Pricing
Sign in
FIND JOBSPRICINGSIGN INSIGN UP
← Back
Sumo Logic

Principal Product Manager

LocationNoida, Uttar Pradesh, India, Bengaluru, Karnataka, India
Work modehybrid
Typefull-time
DepartmentProduct Management
Company size1,001–5,000 people
First seen1mo ago
Last seen1d ago
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.
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. 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.
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.
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.
•
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.
•
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 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.
•
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.
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. 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.
Legal
Sumo Logic Privacy Policy. Employees will be responsible for complying with applicable federal privacy laws and regulations, as well as organizational policies related to data protection.
#LI-Hybrid
More roles at Sumo Logic
Senior Solutions EngineerSenior Solutions EngineerSenior Sales EngineerStaff Software Engineer - Testing & AutomationPrincipal Product Manager
Seekless
Product
Find jobsCompaniesPricing
Legal
PrivacyTermsCookies
© 2026 SEEKLESS, INC. ALL RIGHTS RESERVED.BUILT WITH CARE