Technical Program Manager, Lambda
$176.5-254k
+ Equity
5 days a week in office (San Jose, CA)
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$176.5-254k
+ Equity
5 days a week in office (San Jose, CA)
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- Have 7+ years of experience in program/project management for complex product development programs
- Have a thorough understanding of agile and waterfall management techniques
- Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
- Have excellent leadership and organizational skills
- Are a 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
Desirable
- Experience in the machine learning or computer hardware industry
- Demonstrated successful experience including working in a manufacturing environment with complex systems integration
- Experience with large-scale distributed data center environments
What the job involves
- 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
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
Company
Funding (last 2 of 4 rounds)
Feb 2024
$320m
SERIES C
Mar 2023
$44m
SERIES B
Total funding: $383m
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 values
- Customers first: We seek to understand every aspect of what makes our customers tick. We focus on delivering amazing products to solve those problems and give our customers superpowers.
- Intellectual curiosity: We are always learning, diving deep, and going directly to the source.
- Humility: Everything goes smoother when work interactions are "low ego". Humility is important because admitting you don't know something is the first step to learning and improving.
- Speed: As a startup, speed of execution and the tightness of our feedback loops are two of the advantages we have over massive global companies.
Company HQ
Dogpatch, San Francisco, CA
Articles
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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