Engineering Manager, Lambda
Kubernetes
$167.2-246k
+ 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
$167.2-246k
+ 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
- At least four years in a full-time management role at a high-growth technology company, with at least ten years’ experience of infrastructure or systems engineering
- Proven record of leading and building engineering teams that work on mission-critical, high performance infrastructure and orchestration
- Strong customer-facing skills, including pre-sales, general support, and incident management
- Significant expertise in Kubernetes and cloud orchestration in general, including how systems are built and run in modern cloud environments
- Experience with bare-metal or low-level hardware management, including machine lifecycles, diagnosis, and working with supply chains and timelines
- Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity
- Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability
- Ability to understand, review and structure Python and Go applications
Desirable
- Experience managing a remote, globally-distributed team
- Experience deploying and operating HPC, ML or GPU applications
- Experience deploying Kubernetes or other orchestrators on bare metal
- Strong experience in Python and/or Go
- Significant sales, customer service or support experience
What the job involves
- Lead our world-class Kubernetes team, handling both internal and customer-facing projects and helping to set our future vision
- Ensure our customers have the best possible experience across builds, handoffs, and support. Work directly with our largest customers to drive new feature discovery and strategic engagements
- Manage both operational and development workloads, ensuring rigorous SLAs while also investing in automation and platform improvements to allow future growth
- Own and assist with product-focused projects and strategies that keep Lambda at the cutting edge of GPU hosting, making us the best place to run any GPU, ML or AI workloads
- Hire, grow and retain top-tier engineers, focusing on both systems reliability engineering and software engineering
- Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making
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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