Lead Product Manager AIOps

About the Role Lead Product Manager for AIOps responsible for defining and executing the enterprise AIOps platform roadmap, aligning priorities with reliability goals, operational maturity, and measurable business outcomes. What You'll Do

• Own and execute the AIOps product roadmap, translating operational needs into clear requirements, use cases, user stories, acceptance criteria, and prioritized backlog items across the product lifecycle.

• Own high-impact 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 AIOps capabilities and drive enterprise adoption.

• Define and track success metrics for alert quality, incident reduction, MTTD, MTTR, service health, automation coverage, platform adoption, and operational efficiency.

• Present roadmap progress, risks, decisions, and outcome metrics to senior stakeholders to influence improvements to tooling, workflow, and the operating model.

• Analytical and data-driven mindset with strong problem-solving, prioritization, and decision-making skills. What We're Looking For

• Basic Required Qualifications:

• 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, managing requirements and backlog priorities, and delivering technical platform capabilities across the product lifecycle.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.

• Machine Learning: time-series forecasting, clustering, and correlation algorithms.

• Generative AI: experience with LLM prompting, Retrieval-Augmented Generation (RAG), and LangChain.

• Cloud Infrastructure: deep understanding of AWS, Azure, or GCP infrastructure components.

• Additional Preferred Qualifications:

• Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar.

• Familiarity with cloud-native platforms, Container orchestration systems, distributed systems, service mapping, and telemetry standards.

• Experience defining KPIs, SLOs, product adoption measures, and operational maturity frameworks for enterprise reliability and service performance.

• Relevant certifications in product management, cloud, ITSM, observability, Agile, or platform engineering are a plus. Compensation & Benefits

• Benefits include Health & Wellness, Flexible Downtime, Continuous Learning, and Invest in Your Future with competitive pay, retirement planning, continuing education with company-matched student loan contributions, and financial wellness programs.

• Family-friendly perks and other perks such as retail discounts and referral incentives.

• For more information on benefits by country visit the SPG benefits site.