Senior Technical Product Manager – AI & Network Infrastructure
About the Role
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
- 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.
Qualifications
- 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%.
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 including unit economics (GPU/token costs), AI services, prices and GTM strategies.
- Hands-on familiarity with agentic frameworks, knowledge graphs, and context retrieval pipelines.
Work Location
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.
Schedule
Scheduled Weekly Hours: 40
Benefits
- 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.
- 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.
- Up to 15 days of vacation per year for newly hired employees, growing with additional service.
- Opportunity to receive premium pay such as overtime, shift differential, holiday pay, allowances, etc., depending on the role.
Pay
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, compensation will be adjusted to reflect your hours.
- Annual salary range for the location(s) listed on this job requisition based on a full-time schedule: $128,000.00 – $245,000.00.
- Annual salary range for Illinois location(s): $140,500.00 – $245,000.00.
- Annual salary range for Maryland location(s): $140,500.00 – $245,000.00.
- Annual salary range for New York location(s): $140,500.00 – $245,000.00.