Lambda was founded in 2012 by AI engineers who published research at top machine learning conferences. We aim to be the leading AI computing platform, supporting developers throughout the entire AI development lifecycle. At Lambda, we empower AI engineers to easily, securely, and affordably build, test, and deploy AI products at scale. Our offerings include high-performance on-prem GPU hardware and flexible cloud-based GPU solutions. We aim to make access to powerful computation as effortless and ubiquitous as electricity.

If you'd like to build the world's best deep learning cloud, join us.

*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

What You’ll Do

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

You

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

Nice to Have

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

Salary Range Information

Based on market data and other factors, the annual salary range for this position is $165,000 - $247,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

About Lambda

We offer generous cash & equity compensation
Investors include Gradient Ventures, Google’s AI-focused venture fund
We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
We have a wildly talented team of 300, and growing fast
Health, dental, and vision coverage for you and your dependents
Commuter/Work from home stipends for select roles
401k Plan with 2% company match
Flexible Paid Time Off Plan that we all actually use

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

AI Cloud Engineering Manager

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