Executive Recruiter at Lambda

San Francisco, California, United States

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$210,000 – $300,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Technology, Cloud ComputingIndustries

Requirements

10+ years of executive search experience, with at least 4 years focused on technology sector roles
Proven track record of successfully placing C-suite and VP-level executives at high-growth technology companies
Deep understanding of semiconductor, GPU, AI/ML, or related hardware/software technology markets
Extensive network of relationships with executive talent in relevant industries
Experience working with venture-backed startups and understanding of startup dynamics
Bachelor's degree required; advanced degree preferred

Responsibilities

Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions
Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance
Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles
Leverage extensive candidate networks within the cloud computing and AI industries
Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking
Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies
Ensure exceptional candidate experience that reflects our company values and competitive positioning
Develop compelling value propositions for executive candidates considering startup opportunities

Skills

Executive Search

Talent Acquisition

C-Suite Recruiting

VP Recruiting

Search Strategy

Leadership Hiring

Stakeholder Partnership

High-Growth Recruiting

Technology Recruiting

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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