Senior Product Security Engineer - Remote

Overview

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.

In Short

• 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.

Requirements

• 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.

Benefits

• Work with cutting-edge technology in a fast-paced environment.
• Collaborate with top researchers and developers in AI.
• Opportunity to influence the next generation of safe, aligned AI systems.
• Flexible working hours and a supportive work culture.
• Mentorship and professional development opportunities.