Senior Technical Product Manager - AI & Network Infrastructure

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. 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 Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a 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 and 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. #J-18808-Ljbffr