Technical Program Manager

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us. 

*Note: This position requires presence in one of our San Francisco Bay Area office locations (Currently San Jose, expanding to Peninsula/SF) 4 days per week; Lambda’s designated work from home day is currently Tuesday.

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 stakeholder, 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

You 

• Have 7+ years of experience in program/project management for complex product development programs 
• Have a thorough understanding of agile and waterfall management techniques 
• Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
• Have excellent leadership and organizational skills
• Are 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 

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

About Lambda

• We offer generous cash & equity compensation
• Investors include Gradient Ventures, Google’s AI-focused venture fund
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• We have a wildly talented team of 200, and growing fast
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan with 2% company match
• Flexible Paid Time Off Plan that we all actually use

Salary Range Information 

Based on market data and other factors, the salary range for this position is $150,000 - $220,000. 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. 

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

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.