Principal Product Manager - AI-DRIVEN NETWORK TROUBLESHOOTING PLATFORM
Juniper Networks
- Location
- San Juan, Puerto Rico, Puerto Rico
- Work model
- On-Site
- Level
- Principal
- H-1B history
- 140 approvals (FY2023)
- Posted
- Sep 2, 2026
Skills
About this role
Principal Product Manager - AI-DRIVEN NETWORK TROUBLESHOOTING PLATFORM This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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.
Job Description
We are seeking a highly technical Principal Product Manager to lead the definition and delivery of a next-generation AI-driven network troubleshooting platform. The platform will connect across networking, security, WAN, campus and data center domains to provide end-to-end visibility and intelligent troubleshooting capabilities. The ideal candidate combines deep networking expertise, strong product management experience, technical credibility, continuous learning mindset and the ability to influence across multiple business units. Key Responsibilities • Define product vision, roadmap and strategy for AI-assisted troubleshooting solutions. • Partner closely with engineering teams to drive execution. • Work cross-functionally with stakeholders across networking, security, cloud and data center organizations. • Translate complex technical requirements into product capabilities. • Drive prioritization, requirements and product delivery. • Influence across organizations without direct authority. • Leverage AI technologies to improve product capabilities and workflows. Education and experience required: Bachelor of Science degree or equivalent in computer science, engineering, or related field of study. MBA or advanced degree in computer science or engineering preferred. Ability to distil complex ideas/concepts into concise value propositions. Required Qualifications • 10+ years of experience in Product Management, Product Leadership, Systems Engineering or related field. • Deep networking expertise with knowledge comparable to CCIE and/or JNCIE level. • Strong understanding of networking fundamentals, routing, switching, WAN, campus, security and data center environments. • Experience building or managing highly technical software products. • Demonstrated ability to work with engineering teams on complex technical initiatives. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience with AI, Generative AI, AI Agents or intelligent automation technologies. • Experience building observability, operations or troubleshooting products. • Familiarity with enterprise networking ecosystems and SaaS platforms. • Strong understanding of cloud infrastructure and cloud-hosted applications. => Moved from Required.. • Advanced networking certifications. What We Can Offer You: 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