Senior Technical Product Manager – AI & Network Infrastructure

Verizon Communications; Basking Ridge (NJ); Hybrid; USD 128,000 - 245,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

Life insurance

Identity theft protection

Pet insurance

401(k)

Job summary

Verizon Communications is seeking a Senior Technical Product Manager for AI and Network Infrastructure in a hybrid role. You will lead growth of next-generation Network Automation and AI-powered enterprise services, combining technical leadership with market-driven strategy and partnerships across Cloud, Edge, and Data Center environments.

The role requires hands-on experience with agentic AI runtime infrastructure, SD‑WAN, SASE, and real-time intelligence, plus PoC leadership in multi-cloud

Qualifications

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through work or military experience or training.
• Five or more years of technical product management/development experience delivering enterprise-grade networking or AI software platforms.
• Strong foundation in DIA, EVPL, MPLS, SD‑WAN, SASE, zero-trust security, or data center architectures.

Responsibilities

• Lead end-to-end design and execution of AI PoCs in public cloud and lab environments.
• Benchmark network performance, latency, GPU utilization, and context-fabric efficiency under AI workloads.
• Formulate product roadmaps and commercial models from market analysis of hyperscalers, edge nodes and data centers.
• Monetize fabric capabilities by defining SLAs, security frameworks, and API/MCP integrations for autonomous workflows.
• Drive convergence of WAN topologies (SD‑WAN/SASE) into a unified AI fabric for low-latency traffic.
• Architect and productize AI services including AI Gateways, AI Routers, token brokering, MCPs, and caching layers.

Skills

AI product management

Network architecture

SD-WAN

SASE

Edge computing

Multi-cloud

Education

Bachelor’s degree

Master’s degree

Tools

AI Gateways

AI Routers

Semantic caching

Model Context Protocol (MCP)

NeoClouds

Job description

Senior Technical Product Manager - AI & Network Infrastructure

• Basking Ridge, New Jersey
• Irving, Texas
• Cary, North Carolina
• New York, New York
• Annapolis Junction, Maryland
• Temple Terrace, Florida

Job ID: R-1100824

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing...

We are looking for a forward-thinking, hands‑on Technical Product Development Manager to direct the growth and strategic expansion of our next‑generation Network Automation. This role combines technical leadership with strategic business acumen to build and launch advanced AI products and enterprise services. The ideal candidate brings a comprehensive understanding of AI industry trends, commercial models, and corporate strategy, backed by deep expertise in AI architectures, model frameworks, and agentic systems. Strong familiarity with Edge computing, Cloud environments, Data Centers, and AI‑focused NeoClouds is required.

Key requirements include hands‑on expertise with agentic AI runtime infrastructure (such as AI Gateways, Routers, MCPs, and Semantic Caching) across Cloud, Edge, Data Center, and NeoCloud environments, along with a strong foundation in software‑defined networking paradigms like SD‑WAN and SASE.

Responsibilities will include:

• Network & AI Integration: Drive the convergence of enterprise WAN topologies—specifically SD‑WAN and SASE frameworks—into a unified AI Fabric optimized for high‑throughput, low‑latency East‑West and North‑South traffic flows.
• AI Agent Services: Architect and productize AI services, including AI Gateways, intelligent AI Routers, token brokering, token monitoring, standardized Model Context Protocols (MCPs) for context retrieval, and low‑latency Semantic Caching layers.
• Intelligent Network Automation & Evolution: Apply AI technologies to automate operations, optimize service delivery, and advance capabilities toward fully autonomous networks.
• AI Platform Architecture: Demonstrated expertise in architecting and deploying scalable AI platform infrastructure to support agentic services. Proficient in agent identification, orchestration frameworks, as well as real‑time intelligence and monitoring.
• Lead end‑to‑end design and execution of AI Proof of Concepts (PoCs) in public cloud and lab environments.
• Benchmark network performance, prompt/response latency, GPU utilization, and context‑fabric efficiency under real‑world AI inference and training workloads.
• Formulate product roadmaps and commercial models based on deep market analysis of public hyperscalers, edge nodes, on‑premise data centers, and GPU‑first NeoClouds.
• Monetize fabric capabilities by defining service levels (SLAs), enterprise security frameworks, and API/MCP integrations for autonomous agent workflows.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Five or more years of technical product management/development experience delivering enterprise‑grade networking or AI software platforms.
• Strong conceptual and technical foundation in DIA, EVPL, MPLS, SD‑WAN, SASE, zero‑trust security, or high‑density data center network architectures.
• Hands‑on experience developing AI solutions across Edge, Cloud, traditional Data Centers, or specialized AI NeoClouds (GPU‑as‑a‑Service).
• Experience quickly prototyping, testing, and validating technical concepts in lab and multi‑cloud environments before scaling to production.
• Demonstrated success analyzing market trends and customer requirements to drive GTM strategy.
• Willingness to travel up to 10%.

Even better if you have one or more of the following:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Knowledge of AI Gateways, AI Routers, vector/semantic caching mechanisms, and context standards like the Model Context Protocol (MCP).
• AI market trend analysis including unit economics (GPU/token costs), AI services, prices and GTM strategies.
• Hands‑on familiarity with agentic frameworks, knowledge graphs, and context retrieval pipelines.

If you believe this job posting is missing information required by the Virginia wage or salary range transparency law, please report it via [e-mail].

Where you’ll be working

In this hybrid role, you’ll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

• medical
• dental
• vision
• short term disability
• long term disability
• basic life insurance
• supplemental life insurance
• AD&D insurance
• identity theft protection
• pet insurance
• group home & auto insurance
• matched 401(k) savings plan
• up to 8 company paid holidays per year
• up to 6 personal days per year
• paid parental leave
• adoption assistance
• tuition assistance
• plus other incentives
• we’ve got you covered with our award-winning total rewards package
• Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.
• For part‑timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part‑time roles, your compensation will be adjusted to reflect your hours.The annual salary range for the location(s) listed on this job requisition based on a full‑time schedule is: $128,000.00 - $245,000.00.The annual salary range for the Illinois location(s) listed on this job requisition based on a full‑time schedule is: $140,500.00 - $245,000.00.The annual salary range for the Maryland location(s) listed on this job requisition based on a full‑time schedule is: $140,500.00 - $245,000.00.The annual salary range for the New York location(s) listed on this job requisition based on a full‑time schedule is: $140,500.00 - $245,000.00.

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