Senior Technical Product Manager, Lambda
$150-205k
Deep learning infrastructure company
Job no longer available
Deep learning infrastructure company
501-1000 employees
Job no longer available
$150-205k
501-1000 employees
Company mission
To make compute as ubiquitous as electricity and give everyone in America the power of superintelligence.
Role
Who you are
- Proven track record of developing a deep understanding of customers and translating that into:
- Feature gaps/improvements
- Partnership opportunities
- Competitive insights
- Curious, driven, and possess the ability to dive deep and ask probing questions
- Working knowledge of computer science, software development, and/or engineering
- Strong communication skills in both technical and business settings
- Bachelor’s/Master’s degree in engineering, CS, IT, or related experience
- 1 to 2 years of experience in a product development role such as software engineering or other technical positions
- Minimum 5 years experience in product management (cloud infrastructure preferred)
- Total minimum of 6-7 years of experience
Desirable
- Experience in the machine learning or computer hardware industry
- Business background
- SQL or Tableau experience
What the job involves
- As Lambda's Technical Product Manager you will be responsible for executing against Lambda’s GPU cloud roadmap. Every cloud feature requires close coordination between software development and hardware infrastructure engineering so you will be expected to work across both of these disciplines
- Uncover and understand customer needs and translate them into requirements
- Ability to work well with internal teams, including developers, engineers, architects, quality assurance, and operations. Ensure requirements are fully understood and that implementation plans match expectations
- Understand, research, and follow technical trends in the industry and in general. Able to assess emerging products and companies to measure their potential value or threat to the company and its products, as well as make recommendations on which new technologies to invest in or leverage
- Follow competitors and conduct capability analysis regularly
- Assess and address technical risks
- Understand and analyze data pipelines, algorithms, and automated systems
- Coordinate beta tests
- Use database queries to analyze performance indicators, evaluate experiments, etc
- Define success criteria for testing and product acceptance
- Facilitate the creation and maintenance of proper product documentation
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.
After a successful 2025, the company is now looking at an initial public offering in the second half of 2026. This comes after the company signed a multi-billion-dollar contract with Microsoft to provide the hyperscaler with access to its GPUs, and it's also believed to have signed a $1.5B lease-back deal with Nvidia. This, coupled with significant funding put Lambda in a very good position for future growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2025
$1.5bn
SERIES E
Feb 2025
$480m
SERIES D
Total funding: $2.4bn
Company benefits
- Health, dental vision
- 401k match
- 5 sick days and 12 paid holidays
- Flexible PTO
- Paid parental, medical, and caregiver leave
Company HQ
Financial District, San Francisco, CA
Leadership
Michael Balaban
(Co-Founder & CTO)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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