Senior AI Network Platform Product Lead

Verizon; Town of Florida (NY); Hybrid; USD 141,000 - 245,000; Full time

Job summary

Verizon is seeking a forward-thinking Technical Product Development Manager to lead the growth of our next-generation Network Automation. This role blends technical leadership with strategic business acumen to build and launch advanced AI products and enterprise services.

The ideal candidate has deep expertise in AI architectures, edge computing, cloud environments, and data centers, with hands-on experience across AI Gateways/Routers, MCPs, and multi-cloud labs.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Six or more years of relevant experience in technical product management.
• Five or more years delivering enterprise-grade networking or AI software platforms.
• Strong foundation in DIA, EVPL, MPLS, SD-WAN, SASE, zero-trust security, data center architectures.
• Hands-on experience deploying AI solutions across Edge, Cloud, Data Centers, or NeoClouds.
• Ability to prototype and validate concepts in multi-cloud environments.

Responsibilities

• Drive convergence of WAN topologies into a unified AI fabric for high-throughput traffic.
• Architect and productize AI services including AI Gateways and AI Routers.
• Lead AI platform architecture and orchestration for agentic services.
• Lead end-to-end AI PoCs in public cloud and lab environments.
• Benchmark performance, latency, GPU utilization, and context-fabric efficiency.
• Define roadmaps and commercial models based on market analysis.

Skills

DIA

EVPL

MPLS

SD-WAN

SASE

Zero-trust

Data centers

AI architectures

Education

Bachelor's degree or 4+ years experience

Bachelor's or Master's in CS/EE or related

Tools

AI Gateways

AI Routers

Model Context Protocol (MCP)

Job description

Verizon is seeking a forward-thinking Technical Product Development Manager to lead the growth of our next-generation Network Automation. This role blends technical leadership with strategic business acumen to build and launch advanced AI products and enterprise services.

The ideal candidate has deep expertise in AI architectures, edge computing, cloud environments, and data centers, with hands-on experience across AI Gateways/Routers, MCPs, and multi-cloud labs.