Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We’re hiring a technical practitioner to join Developer Relations and help enterprise teams understand how to deploy production AI workloads on Lambda.
You will turn deployment experience and work from Lambda’s technical teams into useful public resources. Your existing following and professional relationships will help that work reach enterprise AI practitioners who do not hear from Lambda today.
What You’ll Do
Audience and Distribution
Grow Lambda’s reach among enterprise AI and infrastructure practitioners.
Use your following and professional relationships to introduce Lambda to communities where it has limited presence.
Develop projects with practitioners, customers, or partners. Plan distribution through the channels their audiences already use.
Technical Education
Create technically sound material about deploying production AI workloads on Lambda.
Work with MLE and engineering to turn field patterns into guides, demonstrations, or open-source examples.
Teach the same ideas through talks and workshops. Use video when it suits the subject, and adapt strong work for more than one audience.
Field Feedback
Represent Lambda at conferences and on podcasts. Take part in relevant online communities.
Track the problems enterprise teams raise and share useful patterns with Lambda’s technical teams and go-to-market leaders.
Use that evidence to help set Developer Relations priorities.
You
Experience deploying and operating production AI workloads, ideally inside an enterprise.
Working knowledge of MLOps and observability, including the reliability and performance work required to keep AI systems running.
An understanding of how internal AI infrastructure supports applications and adoption across an organization.
A record of writing or speaking clearly about AI deployment or infrastructure.
An established following or professional network among enterprise AI and infrastructure practitioners.
Experience using collaborations and community relationships to increase the reach of technical work.
The ability to work effectively with technical teams as well as marketing and customer-facing groups.
Nice to Have
Experience with on-premises AI infrastructure or internal AI programs used by dozens of people.
Familiarity with Lambda Cloud or 1-Click Clusters.
Experience producing technical video, live demonstrations, workshops, or programs with external partners.
What success looks like
More enterprise AI practitioners know and trust Lambda. Lambda is considered more often for production AI workloads.
Your technical work is accurate and useful to teams making deployment decisions. Your following and collaborations give that work wider reach in the communities that matter to Lambda.
Feedback from practitioners shapes Developer Relations priorities and gives Lambda’s product teams a clearer view of enterprise deployment needs.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. 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
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
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.
Skills Required
- Experience deploying and operating production AI workloads, ideally in an enterprise environment
- Working knowledge of MLOps and observability, including AI system reliability and performance
- Understanding of internal AI infrastructure supporting applications and organizational adoption
- Record of writing or speaking clearly about AI deployment or infrastructure
- Established following or professional network among enterprise AI and infrastructure practitioners
- Experience using collaborations and community relationships to expand the reach of technical work
- Ability to work effectively with technical teams, marketing teams, and customer-facing groups
- Experience with on-premises AI infrastructure or internal AI programs used by dozens of people
- Familiarity with Lambda Cloud or 1-Click Clusters
- Experience producing technical video, live demonstrations, workshops, or external partner programs
Lambda Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lambda and has not been reviewed or approved by Lambda.
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Fair & Transparent Compensation — Pay is considered competitive for an AI infrastructure company, with posted ranges and observed offers indicating strong packages for senior technical roles. Compensation is often characterized as competitive or top‑shelf, aligning with market expectations.
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Healthcare Strength — Health, dental, and vision coverage are characterized as strong, with broad‑network plans noted and positive experiences highlighted. This foundation supports overall satisfaction with core insurance benefits.
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Leave & Time Off Breadth — Flexible or unlimited PTO is described as actually used, complemented by paid holidays and sick time. Generous parental leave examples further expand the time‑off offering.
Lambda Insights
What We Do
Lambda provides computation to accelerate human progress. We're a team of Deep Learning engineers building the world's best GPU workstations and servers. Our products power engineers and researchers at the forefront of human knowledge. Customers include Microsoft, MIT, Los Alamos National Lab, Disney, Tencent, Kaiser Permanente, Stanford, Harvard, Caltech, and the Department of Defense.
