I
Not Specified Permanent

San Jose, California · USA job

Senior Product Manager, Data Center

Intel

San Jose, California

Job description

Overview

In this Senior Product Manager role, you own the Xeon product lifecycle from definition to end-of-life, aligning tech strategy with market needs. You'll influence roadmaps, coordinate across engineering, manufacturing, and marketing, and shape competitive positioning. You'll translate customer insights into product decisions and lead cross-functional efforts in a highly matrixed environment. Join a mission to advance data center computing and drive impactful workloads across cloud, AI, and enterprise applications.

Compensation / Benefits
  • competitive pay
  • stock bonuses
  • health benefits
  • retirement benefits
  • vacation
  • hybrid work model
Responsibilities
  • Own Xeon product lifecycle from definition to end-of-life and coordinate cross-functional teams across design, architecture, process technology, manufacturing, test, quality, and marketing
  • Influence product priorities via competitive intelligence, workload analysis, and customer insights within the Xeon portfolio
  • Develop product positioning and performance narratives based on workload KPIs and validate with Go-to-Market partners and ecosystem
  • Lead workload readiness, validation, debugging, and performance optimization; communicate readiness and risk in executive reviews
  • Align engineering, marketing, manufacturing, and business stakeholders on priorities and success metrics; drive convergence in validation and performance teams
  • Support global product launches with marketing, PR, and sales enablement teams
Key requirements
  • Bachelor's in Electrical / Computer Engineering, Computer Science, or STEM field with 7+ years of experience
  • 7+ years in semiconductor product management, technical marketing, or product architecture
  • 7+ years owning end-to-end hardware or platform products, including launch and lifecycle
  • Strategic thinking with strong business judgment
  • Customer-focused and data-driven decision making
  • Executive communication and ability to influence stakeholders
  • Workload analysis and KPI-based readiness
  • Platform-level product strategy and architecture awareness
  • Experience with benchmarking frameworks (MLPerf, SPEC, TPC)

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