Senior Product Manager; Data Center AIOps
Listed on 2026-03-01
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IT/Tech
Data Engineer, IT Project Manager, Cloud Computing
Senior Product Manager (Data Center AIOps) (Finance)
Preferred location:
Sunnyvale, CA (hybrid) or any U.S. location (remote).
HPE’s Data Center Networking team seeks an experienced Product Manager to drive the strategy, roadmap, and execution of the HPE Apstra Data Center Director and Data Center Assurance solution, a core component of HPE’s next‑generation data‑center automation and assurance portfolio. In this role you will define product requirements, prioritize features, and partner with engineering, UX, marketing, and field teams to deliver an on‑prem and cloud‑based experience that simplifies Day 0‑Day 2+ operations for customers deploying enterprise and AI workloads.
Responsibilities- Define, prioritize, and execute the strategy for the Apstra Data Center Director and Data Center Assurance.
- Partner with cross‑functional engineering and design teams to translate customer needs into product specifications and deliverables.
- Analyze operational data from large‑scale data center networks to identify root causes and drive product improvements.
- Apply AI/ML techniques to automate fault detection, anomaly correlation, predictions, and intent‑based assurance within the solution.
- Work directly with customers, field engineers, and partners to gather feedback and validate product direction.
- Collaborate with marketing and sales enablement to communicate product positioning, competitive differentiation, and go‑to‑market strategies.
- Manage product performance metrics for deployments, ensuring the efficacy of solutions addresses real user scenarios.
- Bachelor’s degree in computer science, engineering, or a related technical field; MBA or advanced degree preferred.
- 6+ years of experience in product management or technical program management for enterprise networking software.
- Experience working with cross‑functional teams in agile environments.
- Understanding of data center networking architectures and protocols (EVPN‑VXLAN, BGP, LAG, telemetry).
- Familiarity with network automation tools (Apstra, Ansible, and Terraform) and controller‑based design.
- Troubleshooting ability to interpret streaming telemetry, CLI show commands, syslogs, and other operational data sources for root cause analysis.
- Experience with AI/ML‑based observability or AIOps tools for network assurance.
- Demonstrated success managing products delivered as SaaS or cloud‑native services.
- Exceptional communication skills, both technical and business‑oriented, with the ability to influence across leadership and engineering teams.
- Strategic thinker with a bias for action, focused on customer outcomes and measurable impact.
- Cross Domain Knowledge
- Customer Engagement
- Design Thinking
- Development Fundamentals
- Dev Ops
- Go‑to‑Market Expertise
- Partner Management
- Product Lifecycle Management
- Security‑First Mindset
- Strategic Pricing
- Strategy Creation
- User Experience (UX)
- Value Creation
- Vendor Management
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.
We invest in your career through specific programs that help 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.
HPE is unconditionally inclusive and celebrates individual uniqueness, allowing flexibility to manage work and personal needs.
EEO StatementHPE is an Equal Employment Opportunity/Veteran/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are based on qualifications, merit, and business need.
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.
CompensationThe expected salary range for this position is as follows. Actual offer may vary based on geographic location, work experience, education/training, and/or skill level.
- United States of America:
Annual Salary USD 136, in California.
The listed salary range reflects base salary. Variable incentives may also be offered.
Job:
Engineering
Job Level:
For more information about employee benefits offered in the US, visit
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