Jobs · Information Technology · California

Data Center Technical Program Manager

Lambda · San Jose, CA · 3 days ago
HybridInformation Technology$278k–$370k/yrFull-time

What You’ll Do

  • Manage large scale deployments of GPU clusters in datacenter colocation around the country
  • Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements
  • Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks
  • Proactively manage dependencies and anticipate/resolve execution issues
  • Partner with a full spectrum of cross-functional stakeholders, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs
  • Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones
  • Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues
  • Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies
  • Contribute to the development of new business opportunities and expansion of existing business opportunities

Requirements

  • 7+ years of experience in program/project management for complex product development programs
  • A thorough understanding of agile and waterfall management techniques
  • A technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
  • Excellent leadership and organizational skills
  • A strong communicator, able to structure internal and external communication
  • Strong ability to humbly lead by influence and by example
  • Knowledge and expertise using various project management tools
  • Comfort with ambiguity, and ability to create structure where needed

Qualifications

  • Nice to Have: Experience in the machine learning or computer hardware industry
  • Demonstrated successful experience including working in a manufacturing environment with complex systems integration
  • Experience with large-scale distributed data center environments

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