Note: The job is a remote job and is open to candidates in USA. Abnormal AI is seeking a Staff Software Engineer with deep expertise and passion for Security & Privacy to join the Multi-Product Platform division. The role involves owning the Security & Privacy vision, driving high-impact initiatives, and ensuring that security remains a competitive advantage as the platform grows.
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
Skills
- 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
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
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