United States onlyLambda is the #1 GPU Cloud for ML/AI teams training, fine-tuning and inferencing AI models, where engineers can easily, securely and affordably build, test and deploy AI products at scale. Lambda’s product portfolio includes on-prem GPU systems, hosted GPUs across public & private clouds and managed inference services – servicing government, researchers, startups and Enterprises world-wide.
If you'd like to build the world's best deep learning cloud, join us.
*Note: This position requires presence in our San Jose office location 5 days per week.
The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
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
Salary Range Information
Based on market data and other factors, the annual salary range for this position is $176,500-$254,000. 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 Lambda
Founded in 2012, ~350 employees (2024) and growing fast
We offer generous cash & equity compensation
Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
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
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.
CA and US only
