Technical Program Manager - San Jose at Lambda

San Jose, California, United States

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$176,500 – $254,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Enterprise Software, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

Program ManagementProject ManagementAgileWaterfallRisk AssessmentStakeholder ManagementTechnical CommunicationDependency Management

Questions & Answers

Common questions about this position

What is the salary range for the Technical Program Manager position?

The salary range is $176.5K - $254K.

Is this role remote or onsite, and what are the location requirements?

This is an onsite position requiring presence in the San Jose office 5 days per week.

What are the key required skills and experience for this role?

Candidates need 7+ years in program/project management for complex programs, understanding of agile and waterfall techniques, technical background, excellent leadership and organizational skills, strong communication, ability to lead by influence, expertise in project management tools, and comfort with ambiguity.

What is the company culture like at Lambda?

This information is not specified in the job description.

What makes a strong candidate for this Technical Program Manager role?

A strong candidate has 7+ years managing complex programs, technical expertise, leadership skills, strong communication, and experience with agile/waterfall methods and project tools; nice-to-haves include ML/hardware industry or manufacturing experience.

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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