Full-Time

Technical Program Manager III/IV

Posted on 5/23/2024

Lambda

Lambda

501-1,000 employees

Cloud-based GPU services for AI training

Compensation Overview

$149k - $195k/yr

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, focusing on large language models and generative AI. Their primary product, the AI Developer Cloud, uses NVIDIA's GH200 Grace Hopper™ Superchip to provide efficient GPU resources, available on-demand or reserved, starting at $1.99 per hour. They also provide Lambda Echelon for clients who want to own their infrastructure and Lambda Stack, a software that simplifies AI software installation for over 50,000 machine learning teams. The goal of Lambda Labs is to make AI development more accessible and efficient through their cloud services.

Company Size

501-1,000

Company Stage

Series D

Total Funding

$1.4B

Headquarters

San Jose, California

Founded

2012

Simplify Jobs

Simplify's Take

What believers are saying

  • Lambda raised $480 million to enhance its AI cloud infrastructure.
  • Multi-node NVIDIA HGX B200 clusters attract clients needing high-performance computing.
  • Competitive pricing for NVIDIA H100 instances appeals to startups and smaller companies.

What critics are saying

  • Snowflake's AI hub could attract developers away from Lambda's services.
  • Nebius offers GPUs as a service, posing a competitive threat to Lambda.
  • Rapid AI cloud growth pressures Lambda to innovate and reduce costs.

What makes Lambda unique

  • Lambda offers the lowest-cost Inference API in the AI industry.
  • AI Developer Cloud uses NVIDIA GH200 Grace Hopper™ Superchip for efficient LLM training.
  • Lambda Stack simplifies AI software installation for over 50,000 machine learning teams.

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Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

4%

2 year growth

6%
SDxCentral
Mar 18th, 2025
Lambda announces general availability of multi-node NVIDIA HGX B200-accelerated clusters on-demand

Lambda announces general availability of multi-node NVIDIA HGX B200-accelerated clusters on-demand.

PYMNTS
Feb 27th, 2025
Snowflake Plans ‘Ai Hub’ And $200 Million In Startup Investments

Data cloud company Snowflake says it is opening a new Silicon Valley “AI hub.”The new Menlo Park location, announced Thursday (Feb. 27), is designed to give developers, startups and business leaders a place to work on artificial intelligence (AI) efforts.“Our technology is already at the heart of customers’ data and AI strategies, and now, we are taking it a step further by creating a physical space for people shaping the future of AI to connect, learn, and work,” Snowflake CEO Sridhar Ramaswamy said in a news release.“Whether you’re a developer looking for hands-on experience, a startup founder looking for a place to collaborate, or an executive looking to explore the art of the possible, the Silicon Valley AI Hub will serve as the epicenter of AI development and collaboration.”Set to open this summer, the hub will feature spaces designed for people “across the AI ecosystem,” per the release. Executives can collaborate and create partnerships, AI engineers can experiment with new technology, and early-stage startups gain a homebase for their work.Meanwhile, the company, its startup accelerator and its venture capital partner are planning to invest up to $200 million in early stage startups, offering funding as well as technical assistance.Amazon Web Services (AWS), the company said, “has also committed to provide up to $1 million in free Snowflake credits on AWS over four years to support startups building and offering applications on Snowflake’s platform.”Snowflake’s announcement comes on the heels of a report earlier this week that Perplexity AI was creating a $50 million venture fund focused on U.S.-based pre-seed and seed AI startups.The company, itself an AI startup, will invest in the fund, but outside limited partners will provide most of the capital, CNBC reported, citing unnamed sources. Perplexity last year closed a $500 million funding round that tripled its valuation to $9 billion.AI startups have been raising significant amounts of funding lately, with three companies taking in — or preparing to take in — a combined $2.3 billion in the last week.Together.ai, which is building an AI cloud for AI applications using open source models, recently raised $305 million in a Series B round. Cloud AI startup Lambda announced last week that it has raised $480 million to build a hyperscaler cloud for AI developers and end users.And robotics company Figure, backed by OpenAI, Nvidia and Microsoft, is in reportedly talks to raise $1.5 billion in a Series C round.For all PYMNTS AI coverage, subscribe to the daily AI Newsletter

PYMNTS
Feb 26th, 2025
Report: Perplexity Creating $50 Million Venture Fund For Ai Startups

Perplexity AI is reportedly creating a $50 million venture fund focused on U.S.-based pre-seed and seed artificial intelligence (AI) startups. The company, which is an AI startup itself, will be an anchor investor in the fund, but outside limited partners will provide most of the capital, CNBC reported Tuesday (Feb. 25), citing unnamed sources. Reached by PYMNTS, Perplexity declined to comment on the report

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Ai Startups: 3 Companies Collectively Raise $2.3 Billion

What happens when three AI startups walk into a room? They walk out with a fortune. Startups in robotics and cloud artificial intelligence (AI) have collectively raised $2.3 billion, dominated by Figure, which makes humanoid robots for home and business. Figure, backed by OpenAI, Nvidia and Microsoft, reportedly is in talks to raise $1.5 billion in a Series C funding round. Last week, the robotics AI startup unveiled Helix AI, a vision, language and movement model that powers its humanoid robots. Its robots were shown putting away groceries despite not being specifically trained on these food items

Business Wire
Feb 21st, 2025
Lambda Raises $480M to Expand AI Cloud Platform

Lambda, the AI Developer Cloud, today announced it has raised a $480 million Series D, bringing the total equity capital raised to date to $863 millio

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