Developer Relations – Enterprise AI

Lambda

. Grow Lambda’s reach among enterprise AI and infrastructure practitioners .

Posted 9/23/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $188,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deploying and operating production AI workloads, with a strong understanding of MLOps and observability. Capable of effectively communicating technical concepts to diverse audiences and leveraging professional networks to enhance Lambda's presence in the enterprise AI community.

Highest-signal resume keywords

Production AI Workload DeploymentMLOps KnowledgeTechnical CommunicationCommunity EngagementLambda Cloud Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Workload DeploymentMLOpsObservabilityTechnical WritingVideo Production

Soft Skills

CollaborationEffective CommunicationAdaptability

Tools & Technologies

Lambda Cloud1-Click Clusters

Industry Keywords

Enterprise AIInfrastructureTechnical DemonstrationsWorkshopsOnline Communities

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Grow Lambda’s reach among enterprise AI and infrastructure practitioners
Use existing following and professional relationships to introduce Lambda to communities with limited Lambda presence
Develop projects with practitioners, customers, or partners and plan distribution through their audience 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 technical concepts through talks and workshops, using video where appropriate and adapting strong work for multiple audiences
Represent Lambda at conferences and on podcasts and participate in relevant online communities
Track problems raised by enterprise teams and share useful patterns with technical teams and go-to-market leaders
Use practitioner evidence to help set Developer Relations priorities

Requirements

What you’ll need

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
Understanding of how internal AI infrastructure supports applications and adoption across an organization
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 increase the reach of technical work
Ability to work effectively with technical teams as well as marketing and customer-facing groups
Ability and willingness to work onsite at the San Francisco or San Jose office 4 days a week
Legally authorized to work in the United States
Familiarity with Lambda Cloud or 1-Click Clusters (nice to have)
Experience with on-premises AI infrastructure or internal AI programs used by dozens of people (nice to have)
Experience producing technical video, live demonstrations, workshops, or programs with external partners (nice to have)

Benefits

Comp & perks

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