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.
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 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
