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About the Role
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure. We are seeking a technical practitioner to join Developer Relations to help enterprise teams deploy production AI workloads on Lambda. Your work will create public resources and leverage your existing network to reach enterprise AI practitioners.
Responsibilities
- 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 and plan distribution through their channels.
- 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 ideas through talks and workshops, using video when appropriate and adapting content for multiple audiences.
- Represent Lambda at conferences and on podcasts.
- Take part in relevant online communities.
- Track problems enterprise teams raise and share patterns with Lambda’s technical teams and go-to-market leaders.
- Use evidence to help set Developer Relations priorities.
Requirements
- Experience deploying and operating production AI workloads, ideally inside an enterprise.
- Working knowledge of MLOps and observability, including reliability and performance work for AI systems.
- 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.
- Ability to work effectively with technical teams as well as marketing and customer-facing groups.
- Experience with on-premises AI infrastructure or internal AI programs used by dozens of people (Nice to Have).
- Familiarity with Lambda Cloud or 1-Click Clusters (Nice to Have).
- Experience producing technical video, live demonstrations, workshops, or programs with external partners (Nice to Have).
Skills
- MLOps
- Observability
- AI deployment
- AI infrastructure
Location
- San Francisco
- San Jose
Work Type
- Hybrid
Experience Level
- Enterprise AI practitioners
- Technical practitioner
Salary/Compensations
- 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.
Benefits
- 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
About the Company
- Founded in 2012, with 500+ employees, and growing fast.
- Investors 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.
- Have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG.
- Values are publicly available: https://lambda.ai/careers.
Equal Opportunity
- 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.