HR Operations Team Lead at Lambda

San Francisco, California, United States

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$237,000 – $338,000Compensation

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

Full TimeJob Type

UnknownVisa

Cloud Computing, Artificial Intelligence, AI & Machine Learning, HardwareIndustries

Requirements

Candidates should possess a Bachelor's Degree or equivalent experience, with 8-10 years in HR Operations and 5+ years in people management. Proficiency in instructional design, excellent communication, time management, and organizational skills are essential. The role requires a high degree of integrity in handling sensitive information, proficiency in policy implementation, and the ability to collaborate, adapt to change, and manage multiple priorities in a fast-paced environment. Strong relationship-building skills are also necessary, along with the ability to manage ambiguity and escalate issues appropriately. Experience in the technology industry is a plus.

Responsibilities

The HR Operations Team Lead will champion Lambda's culture and mission, leading the HR Operations team to deliver excellent customer service. Responsibilities include establishing and enforcing company policies, owning the new hire onboarding experience, and maintaining accurate employee records in HRIS. The role involves executing and overseeing payroll and benefit administration, acting as a primary point of contact for HR-related queries, and ensuring compliance with all federal, state, and city regulations. Additionally, the lead will manage departmental compliance areas, implement and optimize the HR ticketing system, maintain documentation of HR procedures, and oversee employee check-ins for advocacy and conflict resolution.

Skills

HRIS

HR Operations

Process Optimization

Workflow Automation

Employee Lifecycle Management

Team Leadership

HR Administration

Recruiting

Rewards

Learning & Development

Employee Relations

Communications

Company Culture

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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