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Open nowPosted 6 hours agoWe saw it 62 min after it went up

Senior Product Manager I

Sumo Logic19 open roles

Where
Noida
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Your applicationOpen nowSenior Product Manager ISumo Logic · Noida

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. Sumo Logic postings stay open a median of 42 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted 6 hours ago

Sumo Logic median: 42 days open

The posting

Senior Product Manager - Search & Analytics Platform

Sumo Logic is hiring a Senior Product Manager to own the data, query, and context foundations that help customers and AI agents understand and act on operational and security telemetry.

Effective investigation depends on finding the right data, querying it efficiently, and understanding how it relates to the customer's environment. As AI agents take on more analytical work, they need dependable access to telemetry and context: which service an entity belongs to, what it depends on, who owns it, and what changed. This role owns the shared platform capabilities that make that possible across observability, security, and platform optimization.

You will own established search and analytics capabilities while building toward federated analytics and a richer customer context foundation. This is a technically deep role requiring first-hand experience with data platforms, search, or analytics products, and the judgment to turn a broad platform vision into useful capabilities that teams can adopt.

What You Will Own

The search and query platform. Search and query capabilities, query language and analytical functions, partitions, views, and shared query services. You will own their roadmap, performance, reliability, and competitiveness, balancing analytical depth, ease of use, and cost for both human and agent workloads.

Federated analytics. Define how customers and agents query and correlate Sumo data with data in connected systems. Establish the use cases, supported analytical capabilities, and tradeoffs around data movement, freshness, performance, permissions, and cost, working closely with the teams responsible for integrations and access.

Customer context and the knowledge graph. Build the shared understanding of a customer's environment: entities, services, workloads, ownership, topology, and dependencies. Define how that context is assembled from telemetry, metadata, and connected systems, how relationships are maintained, and how the accumulated context improves investigation and analysis over time.

Data discovery and shared context services. Help people and agents discover available sources, schemas, fields, and relationships, and retrieve the data and context relevant to a task. Own the shared capabilities that make this information reusable across product experiences, with clear provenance, freshness, and permission boundaries.

What You Will Be Doing

  • Set the multi-quarter vision and roadmap for the data and analytics platform, connecting current customer needs with the requirements of AI-assisted investigation.
  • Own the health and evolution of shipping query capabilities, partitions, and views, using customer feedback and workload data to prioritize improvements.
  • Work with engineering and architecture on query execution, distributed analytics, scalability, and cost at enterprise scale.
  • Define and validate federated analytics use cases, and turn them into phased capabilities with clear behavior and limits.
  • Develop the entity and context strategy, including how services and resources are identified consistently across data sources and related to one another.
  • Partner with investigation, security, knowledge, and agent teams to turn their needs into shared platform capabilities and clear interfaces.
  • Partner with the product and engineering teams responsible for platform governance to ensure query and context capabilities respect established access controls, audit requirements, and cost policies.
  • Translate strategy into clear proposals, PRDs, user stories, acceptance criteria, and rollout plans.
  • Measure query success, latency, reliability, cost, context quality, and adoption, and show how platform improvements improve customer outcomes.

What You Bring

  • 6+ years of product management experience, including direct ownership of data platforms, search, query systems, or analytics products. Relevant platform experience is a hard requirement.
  • Strong technical understanding of query processing, data organization, indexing, schemas, and distributed systems, with depth in one or more of these areas.
  • Experience running a live product at scale, balancing customer commitments, performance, reliability, and cost while delivering a longer-term roadmap.
  • Experience building shared platform capabilities, APIs, or services used by multiple product teams or external developers.
  • The ability to reason about analytical correctness, incomplete data, data freshness, and the limits of what a system can reliably infer.
  • Familiarity with federated analytics, metadata platforms, entity resolution, knowledge graphs, or retrieval systems. Experience in one or more of these areas is valuable.
  • An understanding of how AI agents discover data, use tools, and retrieve context, or the ability to ramp quickly. Observability or security analytics experience is a plus.
  • Strong analytical skills and comfort using SQL, dashboards, and usage data to understand customer behavior and evaluate tradeoffs.
  • Clear communication across technical and business audiences, and the ability to write proposals that explain options, dependencies, and recommendations.

Must Have Qualities

  • Platform judgment. Finds common needs across teams and turns them into capabilities others can depend on.
  • Customer grounding. Connects technical investment to a concrete improvement in analysis, investigation, or cost.
  • Data correctness and trust. Treats accuracy, consistency, provenance, and freshness as product requirements.
  • Runs today and builds tomorrow. Keeps current capabilities healthy while delivering the next generation of the platform.
  • High ownership. Resolves ambiguity, makes tradeoffs explicit, and drives work through delivery and adoption.

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.

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.

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