Director of Real Estate & Workplace at Lambda

San Francisco, California, United States

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$206,000 – $275,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial IntelligenceIndustries

Requirements

Bachelor’s degree in Real Estate, Business, or a related field
5–10+ years in corp facilities/operations and vendor management
3–5+ years managing a team in a scaling environment
Strong negotiation and contract management skills
Experience in hyper-growth environments—adaptable and hands-on
Knowledge of workplace experience, employee engagement programs
Organized, detail-oriented, great at juggling multiple priorities
Ability to own outcomes and make a huge impact every day
Salary range: $206K - $275K

Responsibilities

Oversee, open, and maintain all company office properties
Plan for growth and ensure spaces scale with the company
Create spaces that bring Lambda’s culture to life
Lead and support a team of office coordinators
Keep offices humming: supplies, security, space, amenities
Partner with the engagement team on all-hands and team events
Manage building upkeep, safety, and security systems
Ensure all properties meet safety and regulatory requirements
Own the annual budget for facilities and workplace operations
Build strong, efficient vendor relationships
Manage vendors and negotiate contracts
Partner with the facilities team to plan and execute events

Skills

Real Estate Management

Facilities Management

Budget Management

Vendor Management

Space Planning

Team Leadership

Project Management

Vendor Negotiation

Lambda

Cloud-based GPU services for AI training

About Lambda

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.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

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.

Differentiation

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.

Upsides

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.

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