Staff Software Engineer, Security & Privacy

Abnormal AI is seeking a Staff Software Engineer with deep expertise and passion for Security & Privacy to join the Multi-Product Platform division. In this role, you will own the division's Security & Privacy vision, driving high-impact initiatives and evolving long-term technical strategies that strengthen customer trust at scale.

Responsibilities:

• Own the strategic Security & Privacy roadmap for the Multi-Product Platform division across a 3–5 year horizon by partnering with engineering, product, and business stakeholders to define incremental milestones that de-risk execution and unlock tangible business value at each stage
• Shape technical direction by applying pragmatic security principles and AI-native strategies, ensuring architectural decisions balance robust protection with speed-to-market and evolving business constraints
• Drive end-to-end delivery of large-scale, cross-functional projects for the Multi-Product Platform division, operationalizing Security & Privacy standards that keep pace with product and market expansion while minimizing overhead and preserving R&D velocity
• Actively mentor and grow the next generation of Tech Leads - raising the technical bar across the organization, not just within your teams

Requirements:

• BS degree in Computer Science, Electrical Engineering, Computer Engineering or other related engineering field
• 8+ years of professional software engineering experience
• Strong command of software design fundamentals - including distributed systems, CAP theorem, and system design tradeoffs
• Deep expertise in Authentication, Authorization, and Security & Privacy problem space, best practices, and related technologies
• Ability to translate business objectives into actionable technical plans with clear sequencing, dependencies, and success criteria that keep execution aligned with strategic intent
• Demonstrated history of owning end-to-end delivery of complex projects — navigating ambiguity, managing competing priorities, and consistently shipping high-quality results on time and on-spec across multiple teams and stakeholders
• Proficiency in Golang and Python programming languages
• Experience in multiple domains - infrastructure, data platform, machine learning, or similar
• Skill in making reversible versus irreversible technical decisions - and calibrating the right level of rigor for each
• Contributions to open-source projects, engineering blogs, or industry standards