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Lambda

Developer Relations - Enterprise AI

San Francisco Office (Second St) (Remote)$188k–$250kfulltimemidAdded today

About this role

Lambda is seeking a technical practitioner to bridge the gap between its AI cloud infrastructure and enterprise customers through developer relations. You'll create technical content, teach deployment practices, and leverage your industry network to expand Lambda's presence among enterprise AI practitioners.

What you'll do

  • Create technical guides, demonstrations, and open-source examples for deploying production AI workloads on Lambda
  • Grow Lambda's reach among enterprise AI and infrastructure practitioners using your professional network and following
  • Deliver talks, workshops, and video content explaining AI deployment and infrastructure concepts
  • Represent Lambda at conferences and participate in online communities to gather field feedback
  • Work with engineering and MLOps teams to translate real-world deployment patterns into educational resources
  • Share enterprise deployment challenges with Lambda's product and go-to-market teams to inform priorities

What they're looking for

  • Production AI workload deployment and operations (enterprise experience preferred)
  • MLOps and observability practices
  • Technical writing and public speaking
  • Community engagement and relationship building
  • Video production or live demonstrations
  • Cross-functional collaboration with technical and marketing teams
  • AI infrastructure and system reliability knowledge
  • Workshop and program design

Benefits

  • Generous cash and equity compensation
  • Health, dental, and vision coverage for you and dependents
  • Wellness and commuter stipends
  • 401k Plan with 2% company match
  • Flexible paid time off
  • In-office 4 days per week in San Francisco (Tuesday remote)
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Lambda

Lambda builds AI cloud infrastructure providing GPU compute and networking capabilities for researchers and enterprises. The company is hiring for data center operations, security, and facility engineering roles to support large-scale AI compute deployments.

View all jobs at Lambda

Likely interview questions

  • Tell us about your experience deploying and operating AI systems in production environments. What were the most critical reliability or performance challenges you faced?
  • How have you used your professional network or following to increase the reach of technical content or projects in the past?