Principal Product Manager, Lambda
Inference
$300-385k
+ Equity
Deep learning infrastructure company
Open for applications
Deep learning infrastructure company
201-500 employees
Open for applications
$300-385k
+ Equity
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- Are an experienced product leader: you have 10+ years in product management, including 5+ building AI/ML platforms
- Drive adoption & impact: you have a track record of launching and scaling products that saw real usage and commercial success
- Know how the technology actually works: from vLLM, to Kubernetes, to model distillation and quantization, to workflows and agents
- Can turn ambiguity into action: you make decisions fast and align teams quickly. You are able to balance long term directions with the requirements of an incredibly dynamic marketplace
- Stay plugged into the AI/ML ecosystem: you’re curious, passionate, well-networked, and know where the field is headed
- Have a strong technical foundation: CS, Engineering, Math degree (or equivalent experience)
What the job involves
- As Principal Product Manager, you will own the strategy, roadmap, and execution for Lambda’s inference platform
- You’ll work across engineering, research, and business teams to build and scale our inference platform – from model evaluation and deployment to optimization, observability, and performance tuning
- You will shape how organizations – from early-stage startups to Fortune 500 companies – deploy and run models at scale, making inference faster, cheaper, and more efficiently
- Define the vision: what does world-class inference look like? Chart the path forward by keeping your finger on the pulse of cutting edge AI trends and collaborating with our engineering and research teams
- Execute and deliver: Establish and ensure timely delivery of key milestones. Resolve ambiguities and obstacles that arise in new, undefined areas of the product
- Engage deeply with AI developers: understand their workflows, pain points, and needs to shape the product
- Build strategic partnerships: identify key AI ecosystem players for integrations and collaboration
- Align cross-functionally: work closely with company leadership, engineering, research, sales, and marketing to ensure success
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2025
$480m
SERIES D
Feb 2024
$320m
SERIES C
Total funding: $863m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company HQ
Dogpatch, San Francisco, CA
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
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