Developer Relations Lead

Developer Relations Lead

Location: Hybrid

Type: Full-Time

About the Role:

LMArena is looking for a Developer Relations Lead to grow, empower, and support the technical community shaping the future of AI evaluation. In this role, you will be the bridge between developers and the LMArena platform, representing their needs internally while driving adoption, integration, and meaningful participation externally.

This is a high-impact position at the intersection of research, infrastructure, and community. You’ll help researchers, AI developers, and technical contributors engage with our APIs, data, and tools, while also telling the story of how LMArena works under the hood.

We believe in evaluation infrastructure that is open, community-driven, and grounded in real-world usage. This role is for someone who can advocate for our mission, teach through code and content, and inspire others to contribute to better AI progress.

Responsibilities:

• Driving developer adoption by making it easier for researchers and engineers to use our evaluation tools, APIs, and datasets.

• Creating technical content such as tutorials, demo apps, notebooks, deep dives, and walkthroughs that explain LMArena’s infrastructure and methodologies.

• Building bridges with the AI community through direct support, workshops, conferences, hackathons, and Discord.

• Collecting and surfacing developer feedback to inform product, API, and tooling improvements.

• Partnering with model providers and contributors to help them integrate into the platform and make the most of evaluation.

• Championing community-built tools, libraries, and insights, helping amplify external contributions and shape standards for transparent evaluation.

• Collaborating cross-functionally with Product, Engineering, Comms, and Research to help define how we explain and scale the platform.

Who is LMArena?

Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.

Why Join Us?

Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.

Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.

• High Impact: Your work will be used daily by the world’s most advanced AI labs.

• Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tier

• Exceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.

Requirements:

• 5+ years of experience in Developer Relations, Developer Advocacy, or technical community engagement roles

• Strong technical fluency with APIs, data infrastructure, or machine learning tools—you can read and write code, even if you're not a full-time engineer

• Proven track record of creating technical content such as tutorials, documentation, demos, or blog posts for developer audiences

• Experience engaging with technical users (e.g., AI researchers, ML engineers, open-source contributors), especially in community or support contexts

• Demonstrated ability to gather developer feedback and translate it into actionable product or platform improvements

• Excellent communication skills:able to explain complex technical systems clearly across mediums (written, verbal, live demos)

• Comfortable working cross-functionally with engineering, product, and communications teams in a fast-paced, early-stage environment

• A proactive, self-directed work style with the ability to operate independently and prioritize impact

Preferred Qualifications:

• Experience with AI evaluation, LLM fine-tuning, or benchmarks.

• Familiarity with open-source development, especially in ML ecosystems.

• Experience hosting workshops, tutorials, or online dev-focused content.

What we offer:

• The cash compensation for this position in the market is not yet finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.

• Competitive salary and meaningful equity

• Comprehensive healthcare coverage (medical, dental, vision)

• The opportunity to work on cutting-edge AI with a small, mission-driven team

• A culture that values transparency, trust, and community impact

Come help build the space where anyone can explore and help shape the future of AI.