Abnormal
Staff Software Engineer, Security & Privacy
About the role
Abnormal is hiring a Staff Software Engineer to lead Security & Privacy as a foundational platform capability across their Multi-Product Platform division. You'll own the end-to-end delivery of large-scale security and privacy initiatives, shape the two-year technical roadmap in collaboration with engineering and product teams, and mentor emerging Tech Leads while maintaining the organization's technical standards. This role is ideal for a distributed systems architect with 8+ years of experience who has partnered with security teams to build secure-by-default solutions at scale. You should excel at deconstructing ambiguous problems into clear milestones, translating business requirements into executable roadmaps, and driving complex cross-functional projects from concept to production. Proficiency in Golang and Python is required, along with hands-on product security experience and a CS or related engineering degree. The position offers a remote work arrangement across the USA with a base salary range of $210,400–$302,500, plus potential bonus, equity, and comprehensive benefits. Experience spanning infrastructure, data platforms, machine learning, or open-source contributions would strengthen your candidacy.
Full job description
Expand to read the complete role requirements.
Full job description
Expand to read the complete role requirements.
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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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.
AI and our hiring 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 identify 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.
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.
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