Director, Product Management - Agentic RAN & Autonomous Networks

QualcommSanta Clara, CA
$229,800 - $344,800Onsite

About The Position

Qualcomm is seeking a Director of Product Management to lead strategy and execution for 6G AI-driven RAN Management and Autonomous network evolution. This role defines, designs and scales cloud-native solutions enabling agentic AI, closed-loop automation, and intelligent network orchestration for global telecom operators.

Requirements

  • Bachelor's degree in Engineering, Information Systems, Computer Science, Humanities, or related field.
  • 8+ years of Product Management or related work experience.

Nice To Haves

  • 15+ years of experience in product leadership across telecom, cloud, or AI platforms
  • Experience with agentic AI, closed-loop automation, or autonomous network architectures
  • Background in cloud platforms and AI infrastructure (e.g., hyperscalers, ML platforms)
  • Prior experience in engineering or system architecture roles
  • Proven experience building and scaling AI/ML-driven network operations or automation solutions
  • Strong expertise in telecommunications technologies (RAN, 5G/LTE, OSS/BSS)
  • Knowledge of RAN intelligence, 3GPP architectures (e.g., NWDAF, RIC), and AI-driven analytics
  • Demonstrated experience working with Tier‑1 global telecom operators and driving commercial deployments
  • Experience building and scaling ecosystem partnerships across vendors, ISVs, SIs, and cloud providers
  • Strong ability to translate business strategy into product vision, roadmap, and execution
  • Excellent technical, analytical, and communication skills in global environments
  • Leadership and influence across global, matrixed organizations
  • Strong customer focus with ability to drive operator-centric solutions
  • Strategic thinking with hands-on execution capability in fast-paced environments

Responsibilities

  • Define and drive product strategy, roadmap, and execution aligned with AI-native, Agentic Networks evolution
  • Lead design of AI/ML-driven RAN automation and analytics solutions
  • Engage Tier‑1 operators to define use cases and drive deployments
  • Build and scale ecosystem partnerships (OEMs, ISVs, SIs, hyperscalers)
  • Own end-to-end product lifecycle from concept through commercialization
  • Lead cross-functional collaboration across engineering, AI/ML, and system teams

Benefits

  • competitive annual discretionary bonus program
  • opportunity for annual RSU grants
  • highly competitive benefits package
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