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Senior Product Manager for Data Center AIOps. HPE is seeking an experienced Senior Product Manager to drive the Data Center AIOps strategy and roadmap across the HPE Networking portfolio, delivering AI-native, cloud-hosted operations that simplify and automate large-scale data center fabrics. This role will define and launch capabilities that combine application and network visibility with AI-driven insights, enabling customers to predict, prevent, and rapidly resolve issues across data center environments.
Job Responsibility:
Influence the product vision and roadmap for Data Center AIOps across the HPE Networking portfolio, aligning with HPE’s AI-native networking strategy and broader data center portfolio
Define requirements and user journeys for capabilities such as cross-domain visibility, application awareness, anomaly detection, root cause analysis, impact analysis, and proactive assurance
Collaborate closely with engineering, data science, UX, and architecture teams to deliver cloud-hosted AIOps services integrated with Apstra’s intent-based networking and telemetry
Partner with GTM, sales, and marketing to craft positioning, packaging, and licensing for AIOps-driven features, including premium and value-added services for data center customers
Engage deeply with customers, partners, and field teams to gather feedback, validate hypotheses, and translate operational pain points into prioritized backlog items for AIOps
Define and track success metrics for AI and analytics features (e.g., MTTR reduction, automation adoption, model accuracy, recommendation utilization) and iterate based on real-world outcomes
Represent the product in customer briefings, business reviews, industry events, and analyst conversations as the subject matter expert for HPE’s Data Center AIOps strategy
Requirements:
Bachelor’s degree in Computer Science / Engineering, or equivalent practical experience in data center networking or cloud infrastructure
6+ years of product management or closely related experience in data center networking, network operations, observability, or AIOps/AI-driven infrastructure products
Understanding of data center network architectures (leaf-spine and EVPN-VXLAN), intent-based networking, and operational workflows across Day 0 through Day 2+
Demonstrated ability to translate complex technical capabilities into clear customer value, business cases, and prioritized roadmaps in a fast-paced environment
Excellent communication and stakeholder management skills with a track record of driving alignment across engineering, sales, marketing, and support
Understanding of network operations, SRE, or managing large-scale data center or private cloud environments, including troubleshooting and incident response
Experience in building business cases, pricing, and go-to-market strategies for enterprise software or cloud services
Nice to have:
Experience shipping SaaS or cloud-hosted products that leverage analytics or machine learning, including defining metrics, collaborating with data science, and operating continuous delivery
Experience with Apstra, intent-based networking platforms, or multivendor fabric management solutions
Familiarity with AI/ML concepts used in AIOps (anomaly detection, correlation, recommendation systems) and MLOps practices in production
Prior experience with AI-native or AIOps offerings for network, infrastructure, or application observability domains