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