Staff Software Engineer, Security & Privacy

About the Role

Abnormal AI is seeking a Staff Software Engineer to join the Multi-Product Platform division, owning Security & Privacy as a platform capability. 

We're looking for a distributed systems expert who has worked closely with security teams — someone who can drive Product Security  at scale and translate that into clear, executable technical roadmaps.

Who you are

• 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.

What you will do 

• 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.

Must Haves 

• 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.

Nice to Have 

• Experience across multiple domains — infrastructure, data platform, machine learning, or similar.
• Contributions to open-source projects, engineering blogs, or industry standards.

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