Full-Time

Technical Program Manager III/IV

Posted on 5/23/2024

Lambda

Lambda

201-500 employees

Cloud-based GPU services for AI training

AI & Machine Learning

Compensation Overview

$149k - $195kAnnually

Senior

San Jose, CA, USA

Requires in-office presence in San Jose 5 days per week.

Category
Project Management
Engineering Management
Business & Strategy
Required Skills
Agile
Requirements
  • 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 offers cloud-based services for artificial intelligence (AI) training and inference, primarily through its AI Developer Cloud powered by NVIDIA's GH200 Grace Hopper™ Superchip. The company provides on-demand and reserved cloud GPUs, essential for processing large datasets, with pricing starting at $1.99 per hour. Lambda Labs differentiates itself with competitive pricing and the option for clients to own their infrastructure through Lambda Echelon. Their goal is to support AI development by making GPU resources accessible and efficient for developers and companies.

Company Stage

Debt Financing

Total Funding

$372.6M

Headquarters

San Jose, California

Founded

2012

Growth & Insights
Headcount

6 month growth

2%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Lambda unique

  • 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.

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