Lead Product Manager AIOPs

S&P Global
London, Gurugram, Hyderabad
Workplace: OnsiteFull timeFunction: Product ManagementExperience: 10+ yearsEducation: bachelorsSkills: ["Analytical mindset","Problem-solving","Prioritization","Decision-making","Data-driven thinking"]

Own and execute the AIOps product roadmap, translating enterprise operational needs into requirements, user stories, and a prioritized backlog. Drive high-impact AIOps capabilities—noise reduction, event intelligence, anomaly detection, predictive alerting, and self-healing remediation—while partnering with IT operations, SRE, platform engineering, service management, and security teams. Define success metrics across alert quality, incident reduction, MTTD/MTTR, and platform adoption, and communicate progress and outcomes to senior stakeholders.

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FursaFursa
S&P Global
S&P Global
1 month ago

Lead Product Manager AIOPs

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Source: Company careers pageValidated by: Fursa AI
Last checked: 29 days agoStatus: Live

Job Summary

Own and execute the AIOps product roadmap, translating enterprise operational needs into requirements, user stories, and a prioritized backlog. Drive high-impact AIOps capabilities—noise reduction, event intelligence, anomaly detection, predictive alerting, and self-healing remediation—while partnering with IT operations, SRE, platform engineering, service management, and security teams. Define success metrics across alert quality, incident reduction, MTTD/MTTR, and platform adoption, and communicate progress and outcomes to senior stakeholders.
Location: London, Gurugram, Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Own and execute the AIOps product roadmap aligned to enterprise reliability goals, operational maturity, adoption targets, and business outcomes.
  • •Translate operational needs into product requirements, use cases, user stories, acceptance criteria, and prioritized backlog items.
  • •Deliver AIOps capabilities including noise reduction, event management, correlation, anomaly detection, root cause analysis, predictive alerting, and self-healing remediation.
  • •Partner across Operations, infrastructure, SRE, platform engineering, service management, application teams, security, and vendors to operationalize capabilities and scale adoption.
  • •Define and track success metrics such as alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency.

Pay and Benefits

Perks:Health InsurancePaid LeaveLearning BudgetRetirement

Key Requirements

  • •10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles.
  • •Strong understanding of AIOps concepts including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics, and automated remediation.
  • •Experience defining product roadmaps and managing requirements/backlog priorities across the product lifecycle.
  • •Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent practical experience).
  • •Expertise in machine learning for time-series forecasting, clustering, and correlation algorithms, plus generative AI experience with LLM prompting, RAG, and LangChain.
Experience:10+ yearsEnterprise technologyIT operationsSREObservabilityAIOpsPlatform engineering
Education:Bachelor's
Skills:Analytical mindsetProblem-solvingPrioritizationDecision-makingData-driven thinking
Tech Stack:AWSAzureGCPServiceNow ITOMSplunkDynatraceDatadogBigPandaNew RelicLangChainRAGRetrieval-Augmented Generation

Company Brief

S&P Global
Provides financial information, analytics, benchmarks, and credit ratings to markets and institutions worldwide, offering data, research, indices, and risk assessment tools across the financial services and commodities sectors.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 1917
WebsiteLinkedIn