Senior Product Manager for Data Center AIOps

Senior Product Manager for Data Center AIOpsThis role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.
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* Who We Are:

** Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next.

We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
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* Job Description:

** Hewlett Packard Enterprise (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.

You will drive:
* A unified AIOps experience that fuses Apstra’s intent, topology, and telemetry data with cloud-hosted AI services for service and application awareness.
* New levels of operational simplicity for data center teams through predictive insights, prescriptive actions, and automated workflows across heterogeneous network environments.
* The evolution of HPE’s data center networking portfolio into an AI-native platform that helps customers operate business-critical data centers with confidence.
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* Key Responsibilities:

*** 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
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* Minimum Qualifications:

*** 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+.
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* Preferred Qualifications:

*** 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…