S&P Global

1 week ago

Lead Product Manager AIOPs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours 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

Website LinkedIn

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S&P Global

1 week ago

Lead Product Manager AIOPs

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

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

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

Website LinkedIn