Senior Product Manager - AI Connectivity & Fiber Solutions

Verizon Verizon · Telecom · Basking Ridge, NJ +1

Senior Product Manager for Verizon's AI Connectivity & Fiber Solutions, focusing on the commercial strategy and P&L for fiber infrastructure and AI connectivity. The role involves translating AI trends into scalable connectivity platforms, driving go-to-market strategies, and influencing cross-functional teams and C-suite clients to define the future of AI networking.

What you'd actually do

  1. Own the product P&L, driving revenue through aggressive pricing strategies, capacity planning, and market-leading positioning for AI infrastructure and high-capacity Ethernet services.
  2. Translate emerging AI trends—including distributed inferencing, GPU cluster networking, and east-west traffic architectures—into scalable connectivity platforms and high-throughput data movement solutions.
  3. Design and execute high-velocity go-to-market plans and product launches that maximize enterprise adoption, dominate market share, and accelerate customer acquisition across the AI economy.
  4. Partner with global sales leaders to ensure perfect product-market fit, arming them with the high-impact value propositions and sales enablement materials needed to win complex, high-stakes enterprise and hyperscaler deals.
  5. Solve business-critical problems by translating deep user research, AI data pipeline requirements, and commercial insights into "must-have" features that enterprise customers are eager to fund.

Skills

Required

  • 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.
  • Six or more years of high-stakes experience leading complex business initiatives and product lifecycles from concept to execution, including five or more years of dedicated Product Management across AI infrastructure, cloud platforms, data center technologies, and high-tech markets.
  • Strong understanding of GPU networking requirements, high-capacity traffic models (10G to 400G+), distributed computing environments, and AI workload transport optimization.
  • Proven track record of navigating high-level collaborations with sales organizations, large-scale cloud service providers, AI platform providers, and Fortune 500 clients to deliver mutual success.
  • Deep expertise in P&L ownership, return-on-investment (ROI) frameworks, and market strategy, with the ability to synthesize user research and market analysis into a winning product vision.

Nice to have

  • Bachelor’s or Master’s in Marketing, Finance, or an MBA; or an advanced technical degree.
  • Strong understanding of high-performance networks, AI fabric architectures, or orchestration platforms used to support large-scale AI workloads.
  • Proven ability to conceptualize innovative services, analyze AI infrastructure economics, and justify "build vs. buy" decisions through rigorous business acumen.
  • Expert in product portfolio management, pricing models, and packaging strategies, using product intuition and user empathy to solve business-critical problems.
  • Entrepreneurial self-starter with a "professional presence" and the ability to motivate cross-functional teams and influence at all executive levels.
  • Skilled in Agile/Scrum methodologies and project management, with the communication chops to get stakeholders and customers excited about the future roadmap.
  • Highly proficient in Google Suite to drive data-backed prioritization and performance tracking.
  • Proficiency in leveraging data, market analytics, and customer feedback loops to uncover market opportunities and drive informed, data-backed prioritization decisions.
  • Expert-level ability to craft and deliver compelling storytelling, high-impact presentations, and clear product visions for C-suite audiences, analysts, and strategic partners.

What the JD emphasized

  • AI infrastructure
  • high-capacity Ethernet services
  • distributed inferencing
  • GPU cluster networking
  • east-west traffic architectures
  • high-velocity go-to-market plans
  • enterprise adoption
  • customer acquisition
  • AI economy
  • global sales leaders
  • high-impact value propositions
  • sales enablement materials
  • complex, high-stakes enterprise and hyperscaler deals
  • AI data pipeline requirements
  • commercial insights
  • must-have features
  • enterprise customers
  • P&L ownership
  • return-on-investment (ROI) frameworks
  • market strategy
  • user research
  • market analysis
  • product vision
  • high-performance networks
  • AI fabric architectures
  • orchestration platforms
  • large-scale AI workloads
  • AI infrastructure economics
  • build vs. buy decisions
  • rigorous business acumen
  • product portfolio management
  • pricing models
  • packaging strategies
  • user empathy
  • business-critical problems
  • executive levels
  • stakeholders
  • customers
  • future roadmap
  • data-backed prioritization
  • performance tracking
  • market analytics
  • customer feedback loops
  • market opportunities
  • data-backed prioritization decisions
  • compelling storytelling
  • high-impact presentations
  • clear product visions
  • C-suite audiences
  • analysts
  • strategic partners