Staff Software Engineer, Security & Privacy

Abnormal AI is seeking a Staff Software Engineer to join its Multi-Product Platform division and own Security & Privacy as a platform capability. The role focuses on leading large-scale, cross-functional security and privacy initiatives, defining a two-year roadmap, and mentoring technical leaders while applying expertise in distributed systems, product security, and AI-native approaches.

Responsibilities:

• Drive end-to-end delivery of large-scale, cross-functional Security & Privacy initiatives — keeping pace with product expansion while preserving R&D velocity
• Draw the Security & Privacy roadmap for the Multi-Product Platform division across a two year horizon, partnering with engineering, product, and business stakeholders
• Mentor and grow the next generation of Tech Leads, raising the technical bar across the organization

Requirements:

• • First-principles thinker – you break complex, ambiguous problems down to fundamentals, then rebuild them into clear, prioritized milestones that deliver real customer value
• • Distributed systems expert – you bring deep experience designing and operating large-scale distributed systems, and have partnered with security teams to build secure-by-default solutions
• • Roadmap-to-reality executor – you transform requirements into actionable technical roadmaps and lead large-scale projects from concept to production
• • AI-native innovator – you bring expertise and creativity in applying AI-native approaches to unlock new capabilities
• • BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field
• • 8+ years of professional software engineering experience
• • Deep expertise in distributed systems, large-scale system design and architectural patterns
• • Hands-on experience with product security
• • Demonstrated track record of owning end-to-end delivery of complex, cross-functional projects
• • Proficiency in Golang and Python
• • Experience across multiple domains — infrastructure, data platform, machine learning, or similar
• • Contributions to open-source projects, engineering blogs, or industry standards