The Technical Program Manager will play a critical role in leading large-scale GPU cluster deployments across data center colocations nationwide and ensuring seamless execution across Lambda's AI-IaaS infrastructure. This position requires close collaboration with engineering, product, and operations teams to drive strategic initiatives and maintain high operational standards.
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
What We're Looking For
- 7+ years of experience in program/project management for complex product development programs
- Thorough understanding of agile and waterfall management techniques
- 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
- 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
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
Technical Stack
- agile
- waterfall
- project management tools
Team & Environment
- Part of the Operations team within the Product Management organization
- Collaborates cross-functionally with Product, Engineering, and Operations
- Team size: 500+ employees
Benefits & Compensation
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan that we all actually use
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. Equity compensation is generous.
Work Mode
- Hybrid work model
- Office locations: San Jose, San Francisco
- Requires presence in office 4 days per week; Tuesday is designated work from home day
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
