Lambda Inc.
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 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
Qualifications
Have 7+ years of experience in program/project management for complex product development programs
Have a thorough understanding of agile and waterfall management techniques
Pose 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
Salary Range Information 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.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer 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
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.
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If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 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
Qualifications
Have 7+ years of experience in program/project management for complex product development programs
Have a thorough understanding of agile and waterfall management techniques
Pose 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
Salary Range Information 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.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer 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
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.
#J-18808-Ljbffr