Senior AI Network Automation Product Manager

Verizon; Maryland; Hybrid; USD 141,000 - 245,000; Full time

Job summary

Verizon is recruiting a forward-thinking Technical Product Development Manager to lead next-gen Network Automation and AI-enabled services. You will blend technical leadership with business strategy to launch enterprise AI products across cloud, edge, and data centers.

The role requires hands-on experience with AI runtimes, SD-WAN/SASE, and multi-cloud environments, with travel up to 10% and a hybrid work model. Join a team shaping connected experiences.

Qualifications

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience in product management/development.
• Five+ years delivering enterprise networking/AI platforms.
• Strong foundation in SD-WAN, SASE, and data center architectures.
• Hands-on AI development across Edge, Cloud, Data Centers, or NeoClouds.
• Ability to prototype and test concepts in lab and multi-cloud environments.
• Experience analyzing market trends to drive GTM strategy.
• Willing to travel up to 10%.

Responsibilities

• Converge WAN topologies into unified AI Fabric for high-throughput traffic.
• Architect and productize AI services and gateways.
• Automate operations with AI to improve service delivery.
• Design scalable AI platform infrastructure for agentic services.
• Lead PoCs in public cloud and labs.
• Benchmark performance, latency, and resource utilization.
• Define product roadmaps and commercial models from market analysis.
• Monetize fabric with SLAs, security, and APIs.

Skills

AI architectures

Edge computing

SD-WAN

SASE

GTM strategy

Multi-cloud

Public cloud

Travel willingness

Education

Bachelor's degree or 4+ years experience

Job description

Verizon is recruiting a forward-thinking Technical Product Development Manager to lead next-gen Network Automation and AI-enabled services. You will blend technical leadership with business strategy to launch enterprise AI products across cloud, edge, and data centers.

The role requires hands-on experience with AI runtimes, SD-WAN/SASE, and multi-cloud environments, with travel up to 10% and a hybrid work model. Join a team shaping connected experiences.