Full-Time

Head of Real Estate & Workplace

Posted on 8/10/2024

Lambda

Lambda

201-500 employees

Cloud-based GPU services for AI training

AI & Machine Learning

Compensation Overview

$160k - $185kAnnually

+ Cash Compensation + Equity Compensation

Senior, Expert

San Jose, CA, USA

Requires onsite presence in San Jose 4 days per week; designated work from home day is Tuesday.

Category
Real Estate
Real Estate Property Management
Required Skills
Management
Requirements
  • Bachelor’s degree in Real Estate, Facilities Management, Business Administration, or a related field
  • 5-10+ years of operations or comparable experience working in corporate facilities along with third party vendor management
  • 3-5+ years of experience managing a scaling team
  • Proven negotiation and contract management skills
  • Proven success in a high-growth, startup environment, with the ability to wear multiple hats and adapt to evolving business needs.
  • Knowledge of workplace experience programs and employee engagement initiatives
  • Highly efficient, strong attention to detail, skilled at juggling multiple tasks and managing their time, and takes ownership of their mistakes
Responsibilities
  • Ensure efficient office operations, including space planning, office supplies, and facilities support.
  • Develop and implement a strategy to create a vibrant and engaging workplace that supports productivity and satisfaction.
  • Work with the People Team on culture, engagement initiatives, and event planning, including all-hands calls and team-building activities.
  • Oversee all operational and experience aspects of company properties, including offices and the manufacturing facility.
  • Manage building maintenance, security, and vendor relationships, acting as the primary contact for responses.
  • Ensure all properties meet city, state, and federal regulations, including safety standards.
  • Oversee regular maintenance and repairs, and supervise maintenance staff.
  • Prepare and manage the annual budget for facility and office operations.
  • Lead and support a team of office coordinators, negotiate contracts and manage relationships with vendors and service providers for all office locations.

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.

Company Stage

Debt Financing

Total Funding

$372.6M

Headquarters

San Jose, California

Founded

2012

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Inference API launch attracts enterprises seeking low-cost AI deployment solutions.
  • Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.
  • Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

What critics are saying

  • Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.
  • AWS's 896-core instance may draw customers seeking high-performance cloud solutions.
  • Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

What makes Lambda unique

  • Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.
  • Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.
  • Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

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