Principal PM: AI-Driven Network Troubleshooting Platform

BMA Group Global

San Juan (PR)

Hybrid

USD 180,000 - 240,000

Full time

45 hours ago
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Job summary

BMA Group Global is seeking a highly technical Principal Product Manager to lead a next-generation AI-driven network troubleshooting platform. You will connect networking, security, WAN, campus, and data center environments to provide end-to-end visibility and intelligent troubleshooting.

The ideal candidate brings deep networking expertise, strong PM leadership, and the ability to influence across engineering and business teams.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.

Responsibilities

  • Define the product vision, roadmap, and strategy for AI-assisted network troubleshooting solutions.
  • Partner with engineering teams to drive product development and execution.
  • Collaborate across networking, security, cloud, WAN, campus, and data center organizations.
  • Translate complex networking requirements into scalable product capabilities.
  • Drive prioritization, requirements, and delivery for advanced tech products.
  • Influence stakeholders across organizations without direct authority.
  • Leverage AI, Generative AI, and intelligent automation to enhance troubleshooting.
  • Identify opportunities to improve network visibility, diagnostics, root-cause analysis, and issue resolution.

Skills

Networking expertise
Product leadership
Cross-functional collaboration
AI/Gen AI familiarity
Strategic thinker
Communication

Education

Bachelor’s degree in Computer Science or Engineering
MBA or advanced degree preferred
CCIE/JNCIE
10+ years of PM/leadership experience

Tools

SaaS platforms
Network observability tooling
Cloud infrastructure

Job description

BMA Group Global is seeking a highly technical Principal Product Manager to lead a next-generation AI-driven network troubleshooting platform. You will connect networking, security, WAN, campus, and data center environments to provide end-to-end visibility and intelligent troubleshooting.

The ideal candidate brings deep networking expertise, strong PM leadership, and the ability to influence across engineering and business teams.

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