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Full-Time

Technical Program Manager I/II

Confirmed live in the last 24 hours

Lambda

Lambda

51-200 employees

Cloud-based GPU services for AI training

Data & Analytics
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$110k - $165kAnnually

+ Cash Compensation + Equity Compensation

Junior, Mid, Senior

San Jose, CA, USA

Category
Engineering Management
Software Development Management
Required Skills
Agile
Communications
Management
Requirements
  • 1-5 years of experience in program/project management for complex product development programs
  • Thorough understanding of agile and waterfall management techniques
  • Technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
  • Excellent leadership and organizational skills
  • Strong communicator, able to structure internal and external communication
  • Strong ability to humbly lead by influence and by example
  • Knowledge and expertise using various project management tools
  • Comfort with ambiguity, and ability to create structure where needed
Responsibilities
  • Manage large scale deployments of GPU clusters in datacenter colocation around the country
  • Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements
  • Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks
  • Proactively manage dependencies and anticipate/resolve execution issues
  • Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs
  • Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones
  • Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues
  • Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies
  • Contribute to the development of new business opportunities and expansion of existing business opportunities

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, 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

Series C

Total Funding

$932.2M

Headquarters

San Jose, California

Founded

2012

Growth & Insights
Headcount

6 month growth

30%

1 year growth

67%

2 year growth

242%
Simplify Jobs

Simplify's Take

What believers are saying

  • Lambda Labs' competitive pricing and availability have attracted high-profile clients like Voltron Data, indicating strong market demand.
  • The recent $500M GPU-backed financing facility will enable Lambda to expand its cloud infrastructure significantly, enhancing service capabilities.
  • The appointment of Peter Seibold as CFO, with his extensive experience, is likely to strengthen Lambda's financial strategy and operational efficiency.

What critics are saying

  • The rising prices of AI cloud compute instances could deter cost-sensitive clients, impacting Lambda's customer acquisition.
  • The competitive landscape, with giants like AWS launching high-core instances, poses a threat to Lambda's market share.

What makes Lambda unique

  • Lambda Labs leverages NVIDIA's GH200 Grace Hopper™ Superchip, offering unmatched efficiency and price for AI training and inference, setting it apart from competitors.
  • Their Lambda Stack software simplifies AI-related software installation and upgrades, used by over 50,000 machine learning teams, providing a significant edge in user experience.
  • The Lambda Echelon service allows clients to take ownership of their infrastructure, a unique offering compared to traditional cloud service models.