Arena Intelligence is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use.
Millions of people use Arena Intelligence each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress.
We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.
LMArena is seeking a Senior Product Security Engineer to lead the strategy, design, and hands-on implementation of systems that protect the integrity of our platform and the trust of our community. You’ll work across product, infrastructure, and data pipelines to proactively identify risks, embed security into core features, and build scalable defenses against abuse, fraud, and adversarial behavior.
This is a builder role - you’ll not only set technical direction but also write the code, build the tools, and design the frameworks that make security and trust part of our product’s DNA. Your work will directly influence how the world’s top AI labs, developers, and millions of users experience LMArena, ensuring we remain resilient in the face of real-world attacks and evolving threats.
Own the product security vision for LMArena, ensuring security and trust are core to every stage of our product lifecycle.
Design and implement platform-wide security features, including Sybil resistance, bot detection, reputation systems, and anti-abuse primitives.
Lead threat modeling and security architecture reviews for new and existing product features.
Collaborate with infrastructure and product engineering to design secure APIs, data flows, and identity systems that scale.
Improve developer velocity by creating secure-by-default frameworks and tooling for internal teams.
Partner with incident response to quickly assess, contain, and remediate security events, and lead deep postmortems to improve defenses.
Stay ahead of the curve by monitoring emerging attack techniques and applying cutting-edge security research to our platform.
Mentor engineers across the company on secure coding practices, architecture trade-offs, and operational security.
8+ years of experience in software engineering or security engineering, including staff-level scope in securing large-scale, user-facing platforms.
Proven track record designing and implementing systems to detect, mitigate, and prevent adversarial behavior (bots, Sybil attacks, automated abuse).
Strong experience with threat modeling, secure architecture design, and risk assessment.
Hands-on experience building security features into production systems at scale (millions of DAU / billions of requests).
Proficiency in backend development (Node.js, TypeScript, Python, or Go) and willingness to work across the stack when needed.
Strong knowledge of distributed systems security, identity, and authentication mechanisms.
Excellent communication skills, able to build alignment across engineering, product, and leadership teams.
Experience in adversarial ML, trust & safety systems, or securing voting/reputation platforms.
Familiarity with advanced detection methods, user fingerprinting, or behavioral analytics.
Contributions to open-source security tools or research.
Background in securing real-time, interactive platforms at scale.
Built real-time detection systems and post-processing pipelines to identify attacks on large scale systems
We offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.
Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.
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.
Arena Intelligence provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.
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