Technical Program Manager III/IV at Lambda Labs
San Jose, CA 95101
About the Job
Lambda was founded in 2012 by AI engineers who published research at top machine learning conferences
We aim to be the leading AI computing platform, supporting developers throughout the entire AI development lifecycle
At Lambda, we empower AI engineers to easily, securely, and affordably build, test, and deploy AI products at scale
Our offerings include high-performance on-prem GPU hardware and flexible cloud-based GPU solutions
We aim to make access to powerful computation as effortless and ubiquitous as electricity.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) 5 days per week.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 tasksProactively manage dependencies and anticipate/resolve execution issuesPartner 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 programsManage communication of progress/status with internal stakeholders and customer groups in various locations and time zonesInteract with internal and external stakeholders at various levels concerning resolution of technical and scheduling issuesBuild 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 opportunitiesYou Have 5+ 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 experienceHave excellent leadership and organizational skillsAre a strong communicator, able to structure internal and external communication Strong ability to humbly lead by influence and by exampleKnowledge and expertise using various project management toolsComfort with ambiguity, and ability to create structure where needed Nice to Have Experience in the machine learning or computer hardware industryDemonstrated successful experience including working in a manufacturing environment with complex systems integrationExperience with large-scale distributed data center environmentsSalary Range Information Based on market data and other factors, the salary range for this position is $149,000 - $195,000
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. About LambdaWe offer generous cash & equity compensationInvestors include Gradient Ventures, Google’s AI-focused venture fundWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGWe have a wildly talented team of 300, and growing fastHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company matchFlexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.
We aim to be the leading AI computing platform, supporting developers throughout the entire AI development lifecycle
At Lambda, we empower AI engineers to easily, securely, and affordably build, test, and deploy AI products at scale
Our offerings include high-performance on-prem GPU hardware and flexible cloud-based GPU solutions
We aim to make access to powerful computation as effortless and ubiquitous as electricity.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) 5 days per week.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 tasksProactively manage dependencies and anticipate/resolve execution issuesPartner 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 programsManage communication of progress/status with internal stakeholders and customer groups in various locations and time zonesInteract with internal and external stakeholders at various levels concerning resolution of technical and scheduling issuesBuild 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 opportunitiesYou Have 5+ 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 experienceHave excellent leadership and organizational skillsAre a strong communicator, able to structure internal and external communication Strong ability to humbly lead by influence and by exampleKnowledge and expertise using various project management toolsComfort with ambiguity, and ability to create structure where needed Nice to Have Experience in the machine learning or computer hardware industryDemonstrated successful experience including working in a manufacturing environment with complex systems integrationExperience with large-scale distributed data center environmentsSalary Range Information Based on market data and other factors, the salary range for this position is $149,000 - $195,000
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. About LambdaWe offer generous cash & equity compensationInvestors include Gradient Ventures, Google’s AI-focused venture fundWe are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGWe have a wildly talented team of 300, and growing fastHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company matchFlexible Paid Time Off Plan that we all actually useA 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 EmployerLambda 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.
