Engineering Product Manager

Cisco•San Jose, CA
•Hybrid

About The Position

Cisco is building a new product in the full-stack AI infrastructure space. The product addresses the challenge of turning fragmented infrastructure across on-premises and cloud environments into secure, governed, self-service token factories while managing capacity, policy, reliability, and lifecycle complexity. The role is part of a small, senior team that works closely with design customers and ecosystem partners, moves quickly, and makes evidence-based decisions in an evolving market and technology landscape. As a senior individual-contributor Product Manager, you will own a major product area from customer discovery and strategy through delivery, launch, adoption, and ongoing improvement. You will establish product direction, make product and investment tradeoffs, and lead across organizational boundaries without formal authority. The role is hybrid and requires two days in the San Jose or New York office.

Requirements

  • Bachelor's degree plus 12 years of relevant experience, master's degree plus 8 years, or equivalent practical experience in product management, engineering, or a related technical field.
  • Experience owning an enterprise infrastructure, cloud, or platform product through discovery, definition, delivery, launch, and operation.
  • Deep expertise in at least one of Kubernetes, networking, storage, or security, with working fluency across at least two of the remaining domains.
  • Experience defining technically complex requirements, including APIs, platform services, lifecycle management, or observability.
  • Demonstrated experience creating a product from the ground up, including turning open-ended problems into phased releases, acceptance criteria, and measurable outcomes.
  • Proven ability to influence engineering and business leaders, resolve competing priorities, and communicate effectively with practitioners, executives, customers, and partners.
  • Excellent written, analytical, and product judgment skills.

Nice To Haves

  • Direct experience operating production cloud or Kubernetes environments, including service-level objectives, incidents, upgrades, capacity management, observability, security, and cost management.
  • Fluency in AI infrastructure topics such as GPU clusters, accelerator scheduling, workload placement, high-performance network and storage paths, model serving, inference, and infrastructure telemetry.
  • Hands-on breadth across Kubernetes, networking, storage, and security, with technical depth in more than one domain.
  • Experience serving hyperscalers, neocloud or sovereign cloud operators, cloud service providers, or enterprise AI platform teams.
  • Experience working with open-source communities, infrastructure partners, or multi-vendor technology ecosystems.
  • Experience developing platform business models, packaging, pricing, or consumption-based services.
  • A record of thriving in startup-like environments where priorities evolve quickly and individuals are expected to create structure, take ownership, and deliver results.

Responsibilities

  • Define the product vision, strategy, and multi-quarter roadmap for a major product domain.
  • Develop a deep understanding of cloud operators, enterprise platform teams, infrastructure operators, and AI developers through customer discovery and design-partner engagement.
  • Translate customer problems into product requirements, acceptance criteria, measurable outcomes, and phased release plans.
  • Identify the smallest valuable product increment, establish evidence-based exit criteria, and adjust direction as new information emerges.
  • Lead build, partner, buy, and open-source decisions with engineering, architecture, security, and business development.
  • Align engineering, architecture, design, technical marketing, operations, security, sales, marketing, Customer Experience, finance, and partner teams around priorities and launch plans.
  • Define and track product and operational metrics, including onboarding time, deployment success, service reliability, adoption, utilization, customer value, and supportability.
  • Own market and competitive analysis, business cases, pricing and packaging input, partner strategy, and go-to-market readiness.
  • Represent the product with customers, partners, field teams, analysts, and Cisco executives, translating complex infrastructure capabilities into clear customer and business outcomes.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with Cisco matching contribution
  • Paid parental leave
  • Short- and long-term disability coverage
  • Basic life insurance
  • Paid holidays
  • Floating holiday for non-exempt employees
  • Paid birthday day off
  • Paid year-end holiday shutdown
  • Paid personal wellness days
  • Paid vacation time for non-exempt employees
  • Flexible vacation time off program for eligible exempt employees
  • Sick time off
  • Additional paid time away may be requested for critical or emergency family issues
  • Optional paid volunteer days
  • Annual bonuses for eligible non-sales employees
  • Potential Cisco restricted stock unit grants
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