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Lambda
Lambda
51 – 200 Employees
H1B Visa SponsorConsultingHealthcareLogistics
Lambda provides cloud infrastructure and hardware for AI development. Its offerings include on-demand GPU clusters for multi-node model training and fine-tuning, inference endpoints and APIs, and the Lambda GPU Cloud with NVIDIA GPU infrastructure for enterprise AI workloads. The company also supplies customizable GPU workstations and desktops for deep learning, along with streamlined installation and managed upgrades for tools such as PyTorch, TensorFlow, and NVIDIA CUDA. Lambda supports AI developers through both public and private cloud environments built around high-performance NVIDIA Tensor Core GPUs.
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Developer Relations, Enterprise AI — Lambda (Hybrid, San Francisco)

Help Lambda connect with enterprise AI and infrastructure practitioners through deployment education, technical demonstrations, workshops, and practitioner feedback programs. Translate real-world enterprise needs into useful content, community programs, and Developer Relations priorities.

USUnited StatesCACalifornia
$188,000 – $250,000 / year
HybridFull-timeMiddleSeniorEnglish RequiredDeveloper Relations
Cloud

Description

  • Expand Lambda’s reach among enterprise AI and infrastructure practitioners
  • Leverage professional relationships and an existing audience to introduce Lambda to communities where its presence is limited
  • Build projects with practitioners, customers, or partners and plan distribution through their audience channels
  • Produce technically accurate content about deploying production AI workloads on Lambda
  • Partner with MLE and engineering teams to turn field insights into guides, demonstrations, and open-source examples
  • Explain technical concepts through talks and workshops, using video when appropriate and adapting effective work for different audiences
  • Represent Lambda at conferences and podcasts while contributing to relevant online communities
  • Monitor challenges raised by enterprise teams and share actionable patterns with technical teams and go-to-market leaders
  • Use practitioner feedback to help shape Developer Relations priorities

Requirements

  • Experience deploying and operating production AI workloads, preferably in an enterprise environment
  • Working knowledge of MLOps and observability, including the reliability and performance practices needed to operate AI systems
  • Understanding of how internal AI infrastructure enables applications and adoption across an organization
  • Demonstrated ability to write or speak 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 extend the reach of technical work
  • Ability to collaborate effectively with technical, marketing, and customer-facing teams
  • Ability and willingness to work onsite four days per week at the San Francisco or San Jose office
  • Legal authorization to work in the United States
  • Familiarity with Lambda Cloud or 1-Click Clusters is a plus
  • Experience with on-premises AI infrastructure or internal AI programs serving dozens of users is a plus
  • Experience creating technical videos, live demonstrations, workshops, or programs with external partners is a plus

Benefits

  • Generous cash and equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for eligible roles
  • 401(k) plan with a 2% company match for U.S. employees
  • Flexible paid time off

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