Security Engineer Lead

People Culture Talent is recruiting for a Senior Security Lead role with a fast-growing startup redefining AI. The role involves leading the strategy and implementation of security systems for a multi-million user AI platform, collaborating across product and infrastructure to build scalable defenses against various threats.

Responsibilities:

• Own the product security vision, ensuring security and trust are core to every stage of the 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
• 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