Senior Product Manager for Data Center AIOps

Senior Product Manager for Data Center AIOps

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

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.

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

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+.

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 practices in production.
• Prior experience with AI-native or AIOps offerings for network, infrastructure, or application observability domains.

Knowledge and Skills:

• 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.

Cross Domain Knowledge, Customer Engagement, Design Thinking, Development Fundamentals, DevOps, Go-to-Market Expertise, Partner Management, Product Lifecycle Management, Security-First Mindset, Strategic Pricing, Strategy Creation, User Experience (UX), Value Creation, Vendor Management

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. 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.

#unitedstates

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Job:

Engineering

Job Level:

TCP_04

    

"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Annual Salary USD 136,500 - 276,500 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

No Fees Notice & Recruitment Fraud Disclaimer

 

It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates.  These scammers often seek to obtain personal information or money from candidates.

 

Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process.  The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.