S

Sumo Logic

Cloud-based data analytics and security platform

Principal Product Manager

Full-Time
No salary listed
Senior, Expert
Noida, Uttar Pradesh, India
HybridHybrid role; some on-site days in Noida, India.
ProductTechnical Product Management

About the job

Requirements
  • 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.
  • 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.
Responsibilities
  • 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.

About the company

S

Sumo Logic

View
cbWebsite

Sumo Logic provides a cloud-based data analytics and security platform for enterprises, helping collect, analyze, visualize, and secure large data volumes from multiple sources to improve decision-making and operations. The product works as a subscription service over the internet: data is ingested, processed, and analyzed, with results shown in dashboards, and it includes security analytics to detect threats and respond, accessible without on-premises software. It differentiates itself by combining cloud-first analytics with security analytics in a single platform designed for medium-to-large enterprises, offering end-to-end visibility and real-time insights across various industries. The goal is to help enterprises run operations more efficiently and securely by turning raw data into actionable insights through a scalable cloud platform.

Company Size

501-1,000

Company Stage

IPO

Headquarters

Redwood City, California

Founded

2010

Get referred to Sumo Logic

See people who can refer or advise you

Simplify Jobs

Simplify's Take

What believers are saying

  • October 3 2026 Data Pipelines cuts ingestion costs with AI-assisted filtering and routing.
  • August 3 2026 Dojo AI reduced MTTR 64% and saved analysts 25 hours weekly.
  • July 28 2026 Chris Malone and Conor Burns add fresh go-to-market leadership.

What critics are saying

  • September 23 2026 Saflor v. Sumo Logic adds copyright litigation distraction in Northern California.
  • Atomic IP LLC sued Sumo Logic in January 2026, signaling broader IP exposure.
  • Splunk and CrowdStrike can absorb observability budgets, leaving Sumo Logic as a niche tool.

What makes Sumo Logic unique

  • Francisco Partners-backed Sumo Logic combines SIEM, observability, and Dojo AI in one platform.
  • June 2 2026 AWS European Sovereign Cloud launch gives EU data-residency differentiation.
  • August 3 2026 MCP Server connects Claude Code and GitHub Copilot to governed telemetry.

Help us improve and share your feedback! Did you find this helpful?

Benefits

  • Competitive base salary + bonus + RSU's
  • Unlimited PTO + 12 company holidays + 4 quarterly wellness days
  • 100% remote or in office
  • Employee stock purchase plan- ESPP
  • Medical, Dental, Vision
  • Paid Parental leave

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

1%
TechDay
Oct 2nd, 2026
Sumo Logic adds AI tools to cut telemetry costs upstream.

Sumo Logic adds AI tools to cut telemetry costs upstream. Sat, 3rd Oct 2026 (Today) Sumo Logic has introduced an enhanced version of its Data Pipelines product, expanding its push into data pipeline management for security and observability teams. The product is designed to let customers make decisions about telemetry before it is ingested, stored and analysed. Users can filter out unwanted data, transform records and route telemetry to different destinations or cost tiers from within Sumo Logic's existing platform. The update reflects a wider issue for security and operations teams as data volumes continue to rise. Organisations are collecting more telemetry from applications, infrastructure and cloud systems, while AI is increasing both the amount of data produced and the demand for data to train and run analytical tools. That has created a cost problem for companies that have often sent all available data into analytics platforms and decided later what to use. Sumo Logic argues that managing data further upstream can reduce storage and ingestion costs while keeping more relevant signals available for investigation and monitoring. The company says it currently ingests and analyses nearly seven exabytes of data a day for thousands of customers. It is using that experience to move more data management functions to the point before telemetry reaches analytics systems. Cost control One of the main additions is a live pipeline preview, which allows teams to see the effects of filtering and routing decisions before data adds to platform charges. This can help users direct lower-value data to cheaper storage tiers or send it to external destinations instead of keeping everything in the same environment. Sumo Logic has also added AI-assisted configuration. The feature can help write rules for filtering and transformation tasks, and flag anomalies or changes in data formats that might otherwise require manual work to identify. Another part of the update is an assistant that recommends whether data should be routed, transformed or dropped. Human oversight remains part of that process. Sumo Logic framed the release as part of an effort to combine data pipeline management with downstream security and observability work, including detection, investigation and response. Rather than relying on separate tools to collect, shape and analyse telemetry, the company is trying to keep those functions within one platform. That approach also reflects pressure on software buyers to simplify technology estates. Security and operations teams have often assembled multiple specialist products to manage logs, metrics, traces and alerts, but rising volumes and tighter scrutiny of spending have increased interest in tools that can reduce overlap. Vendor view Keith Kuchler, Chief Product and Technology Officer, outlined the company's argument for moving those decisions earlier in the data lifecycle. "We've spent fifteen years as experts helping customers maximize the value of their telemetry, turning exabytes of noise into actionable insights that are critical to improving enterprise security and overall performance of infrastructure and applications," said Keith Kuchler, Chief Product and Technology Officer, Sumo Logic. "With AI exponentially increasing data volumes and costs, that expertise is even more crucial. The next generation of our AI-powered data pipeline solution moves data strategy decisions upstream, empowering teams to determine the purpose of their data so it can effectively be leveraged by responsible AI implementations and also enables them to effectively manage the economics of their data," Kuchler said. Sumo Logic also cited industry research on the economics of observability data. In a report quoted by the company, Gartner said many organisations had defaulted to ingesting all operational data for later analysis, but that model had become less workable because of ingestion and storage costs and the growing volume of low-quality telemetry. Broader shift The latest changes are part of a broader platform direction that links telemetry management more closely to AI use in security and operations. As more companies look to use AI systems for automated detection, investigation and remediation, the quality of source data has become a bigger operational issue, not just a storage one. Sumo Logic says poor-quality telemetry can weaken downstream analysis and make automated systems less useful. Its argument is that organisations need to decide earlier what data is worth keeping, where it should go and how much it should cost to manage. While the company also outlined additional planned enhancements, the immediate update focuses on giving customers more control over data before it reaches the analytics bill. Data Pipelines is built natively into the platform rather than being offered as a separate product to deploy and integrate. Sumo Logic says Data Pipelines now gives customers the ability to make data and cost decisions before telemetry reaches the analytics platform.

SecurityBrief Asia
Oct 2nd, 2026
Sumo Logic adds AI tools to cut telemetry costs upstream.

Sumo Logic adds AI tools to cut telemetry costs upstream. Fri, 2nd Oct 2026 (Yesterday) Sumo Logic has introduced an enhanced version of its Data Pipelines product, expanding its push into data pipeline management for security and observability teams. The product is designed to let customers make decisions about telemetry before it is ingested, stored and analysed. Users can filter out unwanted data, transform records and route telemetry to different destinations or cost tiers from within Sumo Logic's existing platform. The update reflects a wider issue for security and operations teams as data volumes continue to rise. Organisations are collecting more telemetry from applications, infrastructure and cloud systems, while AI is increasing both the amount of data produced and the demand for data to train and run analytical tools. That has created a cost problem for companies that have often sent all available data into analytics platforms and decided later what to use. Sumo Logic argues that managing data further upstream can reduce storage and ingestion costs while keeping more relevant signals available for investigation and monitoring. The company says it currently ingests and analyses nearly seven exabytes of data a day for thousands of customers. It is using that experience to move more data management functions to the point before telemetry reaches analytics systems. Cost control One of the main additions is a live pipeline preview, which allows teams to see the effects of filtering and routing decisions before data adds to platform charges. This can help users direct lower-value data to cheaper storage tiers or send it to external destinations instead of keeping everything in the same environment. Sumo Logic has also added AI-assisted configuration. The feature can help write rules for filtering and transformation tasks, and flag anomalies or changes in data formats that might otherwise require manual work to identify. Another part of the update is an assistant that recommends whether data should be routed, transformed or dropped. Human oversight remains part of that process. Sumo Logic framed the release as part of an effort to combine data pipeline management with downstream security and observability work, including detection, investigation and response. Rather than relying on separate tools to collect, shape and analyse telemetry, the company is trying to keep those functions within one platform. That approach also reflects pressure on software buyers to simplify technology estates. Security and operations teams have often assembled multiple specialist products to manage logs, metrics, traces and alerts, but rising volumes and tighter scrutiny of spending have increased interest in tools that can reduce overlap. Vendor view Keith Kuchler, Chief Product and Technology Officer, outlined the company's argument for moving those decisions earlier in the data lifecycle. "We've spent fifteen years as experts helping customers maximize the value of their telemetry, turning exabytes of noise into actionable insights that are critical to improving enterprise security and overall performance of infrastructure and applications," said Keith Kuchler, Chief Product and Technology Officer, Sumo Logic. "With AI exponentially increasing data volumes and costs, that expertise is even more crucial. The next generation of our AI-powered data pipeline solution moves data strategy decisions upstream, empowering teams to determine the purpose of their data so it can effectively be leveraged by responsible AI implementations and also enables them to effectively manage the economics of their data," Kuchler said. Sumo Logic also cited industry research on the economics of observability data. In a report quoted by the company, Gartner said many organisations had defaulted to ingesting all operational data for later analysis, but that model had become less workable because of ingestion and storage costs and the growing volume of low-quality telemetry. Broader shift The latest changes are part of a broader platform direction that links telemetry management more closely to AI use in security and operations. As more companies look to use AI systems for automated detection, investigation and remediation, the quality of source data has become a bigger operational issue, not just a storage one. Sumo Logic says poor-quality telemetry can weaken downstream analysis and make automated systems less useful. Its argument is that organisations need to decide earlier what data is worth keeping, where it should go and how much it should cost to manage. While the company also outlined additional planned enhancements, the immediate update focuses on giving customers more control over data before it reaches the analytics bill. Data Pipelines is built natively into the platform rather than being offered as a separate product to deploy and integrate. Sumo Logic says Data Pipelines now gives customers the ability to make data and cost decisions before telemetry reaches the analytics platform.

SiliconANGLE Media
Sep 21st, 2026
Sumo Logic expands Data Pipelines to cut observability and security data costs.

Sumo Logic expands Data Pipelines to cut observability and security data costs. Data analytics software firm Sumo Logic Inc. today unveiled an expanded Data Pipelines service that lets customers cut and reroute telemetry before any of it is ingested and stored. The controls sit inside the company's own platform rather than in a separate tool. Security and operations teams are collecting more telemetry than ever, and Sumo Logic argues that artificial intelligence workloads are steepening that curve. Ingesting everything gets expensive fast. The usual alternative is to collect less, which saves money until the missing data turns out to be what an investigation needs. Sumo Logic pointed to a recent Gartner Inc. report published Sept. 2 that describes organizations defaulting to ingesting all their operational data and analyzing it later. Ingestion and storage costs have made that unworkable, the research firm said. Gartner also said high volumes of poor-quality telemetry hold back the generative AI and large language models reading that data. The company said it ingests and analyzes close to seven exabytes of data a day for thousands of security and operations customers. What stays out of that flow is now the customer's call, made before ingestion. Two capabilities carry the release. The first is a live preview that shows what a rule will do to a stream before it is switched on, including routing data to a lower-cost tier or out to a destination outside Sumo Logic. The second is an assistant that writes those rules, work the company said used to take hours. Anomalies and format shifts in incoming data are flagged as they appear. Recommendations on what to route, transform or drop still go to a person for approval. Keith Kuchler, chief product and technology officer at Sumo Logic, said the company has spent 15 years turning "exabytes of noise into actionable insights" for customers. AI has made that job harder and more expensive, he said. Moving data strategy decisions upstream, he added, lets teams set the purpose of their data before they pay to keep it. More is due later this year. Sumo Logic said a visual, AI-assisted way to shape telemetry before it lands in its platform or a customer's own cloud storage will follow, with controls over what gets collected from cloud and edge sources. A platform-neutral version, covering data headed to other vendors' tools, comes after that. An OpenTelemetry-native management layer is also planned, putting collector configuration, monitoring and deployment in one console. Sumo Logic said that removes the cost of running additional agents. Sumo Logic is owned by Francisco Partners, which took the company private in 2023 for $1.7 billion. The company is showing the expanded pipelines in London this week, at the Gartner Security & Risk Management Summit. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

PR Newswire
Sep 1st, 2026
Sumo Logic appoints Tom Bonos as CRO to drive AI-first security platform growth

Sumo Logic has appointed Tom Bonos as Chief Revenue Officer to lead its global sales and customer success organisations. Bonos joins from Applause, where he served as Chief Operating Officer and Chief Revenue Officer, and previously held senior roles at ServiceSource, Oracle, and SAP. The company is positioning itself to help customers deploy agentic AI across security and cloud operations through its Dojo AI platform. Sumo Logic reports its AI-powered approach has reduced mean time to resolution by nearly 65% and returned more than 25 hours per week to security analysts within its own Security Operations Centre. Bonos will focus on helping customers leverage their data and AI investments whilst maintaining reliability and security. Chief executive Chris Malone said Bonos's leadership will be critical as the company helps customers shift work to AI agents.

Sumo Logic
Aug 3rd, 2026
Dojo AI: Agentic security and cloud operations powered by AI-ready telemetry.

Dojo AI: Agentic security and cloud operations powered by AI-ready telemetry. August 3, 2026 Table of contents. You're collecting more telemetry than ever, but chances are it hasn't made your job easier. Fragmented data, disconnected tools, and manual investigations mean more noise, slower response times, and higher operational costs. The promise of AI is that it will solve it, but in most cases, you just end up trading noise for expensive hallucinations. Point an LLM at raw, unorganized log storage, and you get an assistant that burns through credits to produce generic, unreliable answers. Dojo AI is different. Today at Black Hat USA 2026, Sumo Logic, Inc. is thrilled to announce major enhancements to Sumo Logic Dojo AI, its agentic AI platform that translates massive, distributed operational and security telemetry into clear, actionable answers for both Cloud Ops and SecOps. Refining telemetry into AI-ready fuel. An AI engine is only as good as the fuel you feed it. If you dump raw, unrefined data into an LLM, it sputters, burning through credits only to output generic, unreliable guesses. Sumo Logic's Dojo AI runs on refined, AI-ready data from the start. Its platform acts as the refinery, leveraging its Context Layer to normalize, correlate, and enrich exabytes of telemetry at ingestion. By transforming chaotic log data into high-octane, AI-ready signals before an agent ever touches it, Dojo AI gains the context required to investigate and resolve issues at machine speed. What's new in Dojo AI. SOC Analyst Agent: automatic alert investigation. The SOC Analyst Agent automatically investigates Sumo Logic SIEM alerts, gathering additional context and executing hypothesis testing at machine speed. * Evidence-backed verdicts: Delivers clear verdicts - Malicious, Suspicious, or Benign - complete with step-by-step rationale and supporting log evidence. * Streamlined handoff: Allows security analysts to transition seamlessly into deep, interactive investigations via Mobot without starting from scratch. Enhanced Mobot: your Sumo Logic assistant. Its conversational interface, Mobot, just leveled up. From query assistant to analysis partner, Mobot is here to change the way you interact with your data and the Sumo Logic platform. * Multi-turn conversations: Drills deeper into complex system outages or active security investigations through iterative, context-aware Q&A. * Content generation: You can ask Mobot to generate dashboard panels or refine alerting monitors without requiring deep platform or query knowledge. * Conversational playbooks: Describe a security or operational workflow in plain language, and Mobot drafts a fully structured playbook in moments, eliminating the manual node-by-node setup required. Supporting agents helping you get more value. These agents, accessed via Mobot, work behind the scenes to help you get the most out of the Sumo Logic platform. * Log Analysis Agent: Guides users of all skill levels through step-by-step investigations during system outages, translating plain-language questions into defensible operational insights. * Platform Optimization Agent: Helps to tune query performance and answer administrative how-to questions in real time. MCP Server: connecting your workflows to Sumo Logic. The Sumo Logic MCP Server connects external AI clients such as Claude Code and GitHub Copilot directly to Sumo Logic. * In-workspace visibility: Run log queries, inspect SIEM alerts, and verify system status directly inside your favorite IDE or AI client. * Zero custom integrations: Provides structured, governed API access without complex custom integration pipelines or data exposure risks. * Enterprise guardrails: Maintains your existing Sumo Logic RBAC, data policies, and security controls, ensuring external AI tools only access data that users are explicitly authorized to see. The impact of Dojo AI. Sumo Logic, Inc. is its own first customer. By pairing autonomous agents with a deeply correlated telemetry data lake, the Sumo Logic SOC experienced significant results: * 64% reduction in MTTR * 89% drop in time-to-triage * 25 hours/week saved per analyst Experience Dojo AI at Black Hat USA 2026. Sumo Logic, Inc. is showcasing Dojo AI all week at Black Hat USA 2026 in Las Vegas! Stop by Booth #5641 to take the Dojo AI Challenge, see live interactive demos, and speak with its technical engineering team. Most Sumo Logic customers can access these new capabilities automatically-simply log in to try them out. New to Sumo Logic and ready to transform your Security and Cloud Operations with governed, agentic AI? Request a demo. Article tags. Margaret Selid Principal Product Marketing Manager Margaret is an experienced product marketing leader with a passion for distilling complex technology and ideas into compelling stories. Before joining Sumo Logic, she worked in supply chain technology launching visibility products, after several years promoting cities for economic investment. People who read this also enjoyed