Sobre este puesto de Staff Software Engineer, Security & Privacy en Abnormal
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.
#LI-ML1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
