Senior Technical Product Manager – AI & Network Infrastructure

About the role

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.

Responsibilities

• 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.
• 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.
• Apply AI technologies to automate operations, optimize service delivery, and advance capabilities toward fully autonomous networks.
• Design and deploy scalable AI platform infrastructure to support agentic services, including agent identification, orchestration frameworks, 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.

Requirements

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience (including work, military, 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 go‑to‑market strategy.
• Willingness to travel up to 10%.

Preferred qualifications

• 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 experience including unit economics (GPU/token costs), AI services, pricing and GTM strategies.
• Hands‑on familiarity with agentic frameworks, knowledge graphs, and context retrieval pipelines.

Schedule

Hybrid role with a defined work location that includes working from home and a minimum of three days per week in the office, as set by the manager. Scheduled weekly hours: 40. Willingness to travel up to 10%.

Benefits

• Medical, dental, vision coverage.
• Short and 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 and up to 6 personal days per year.
• Paid parental leave, adoption assistance, tuition assistance.
• Premium pay options such as overtime, shift differential, holiday pay, allowances (where applicable).
• Vacation: newly hired employees receive up to 15 days per year, accruing with additional service.
• Benefits eligibility varies for part‑time employees.

Pay

• Annual salary range (full‑time) $128,000 – $245,000.
• Annual salary range for Illinois, Maryland, and New York locations $140,500 – $245,000.
• Incentive‑based position with potential to earn more; part‑time compensation adjusted to reflect hours.