Workplace Portfolio Lead
WaabiFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $206K - $275K.
This is a hybrid role requiring presence in the San Francisco office 4 days per week, with Tuesday designated as the work-from-home day.
Candidates need a Bachelor’s degree in Real Estate, Business, or related field, 5–10+ years in corporate facilities/operations and vendor management, 3–5+ years managing a team in a scaling environment, strong negotiation and contract management skills, and experience in hyper-growth environments.
Lambda values speed, tenacity, creativity, and being excellent to each other, with a People Team focused on clarity, fairness, growth, and creating a great place to work through recruiting, rewards, L&D, employee relations, communications, and culture.
Strong candidates see the office as more than four walls and desks, can negotiate a lease in the morning and plan a team event in the afternoon, prioritize compliance and safety without killing the vibe, and are organized, detail-oriented, adaptable, hands-on in hyper-growth, with knowledge of workplace experience and employee engagement.
Cloud-based GPU services for AI training
Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.