AI Engineering Manager, Lambda
Cloud
$165-247k
+ equity
More information about location
4+ days a week in office
Deep learning infrastructure company
Be an early applicant
Deep learning infrastructure company
201-500 employees
Be an early applicant
$165-247k
+ equity
More information about location
4+ days a week in office
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- 10+ years of progressive software engineering experience, with at least 4 years in a management role at high-growth technology companies
- Proven track record of building and scaling engineering organizations that deliver mission-critical, high-performance cloud applications serving millions of users
- Deep expertise in cloud-native architectures, particularly in designing and managing large-scale distributed systems on Kubernetes
- Extensive experience with modern full-stack technologies, including proficiency in Python and React
- Strong background in public-facing API design and implementation, with a focus on developer experience and scalability
- Exceptional leadership skills with high EQ, capable of inspiring and developing world-class engineering talent while navigating the challenges of hypergrowth
- Extensive experience in cross-functional collaboration, particularly in aligning engineering efforts with product, sales, and others
- Track record of successful project and product delivery in fast-paced, high-pressure environments
Desirable
- Experience managing a remote team
- Experience building AI/ML applications from scratch
- Experience with event-driven systems such as Kinesis, Kafka, etc
- Strong Linux programming background
- Experience in Go and core Kubernetes features under the hood
What the job involves
- Spearhead the vision and execution for our AI-first cloud platform, leading a team of world-class engineers
- Drive innovation in platform performance, reliability, and feature development, ensuring our technology remains at the forefront of the competitive AI cloud landscape
- Champion a culture of operational excellence, fostering robust documentation, data-driven decision making, compliant practices, and high-velocity feature delivery
- Shape the technical strategy of our applications, guiding pivotal architectural decisions
- Cultivate and retain top-tier engineering talent, driving professional development and performance management strategies that keep our team at the cutting edge of the industry
- Align product, engineering, and overall company strategy to build technical roadmaps and develop engineering-driven features
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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