Engineering Manager, Lambda
Kubernetes
$285-385k
+ Equity
More information about location
4 days a week in office
Deep learning infrastructure company
Open for applications
Deep learning infrastructure company
201-500 employees
Open for applications
$285-385k
+ 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
- 6+ years in a full-time management role at a high-growth technology company
- 10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and infrastructure
- Proven record of leading and building engineering teams that work on mission-critical, high performance infrastructure and orchestration
- Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity
- 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
- Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution
- 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 with bare-metal or low-level hardware management
- 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
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.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 30 more jobs at Lambda