Senior Software Engineer - Product Engineering (Identity Security)
Abnormal · Hybrid
MeritLog read this listing from Abnormal's Greenhouse job board and last checked it on September 10, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- Conflicting source ranges
- Location
- Hybrid - San Francisco, CA, USA
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at Abnormal
Abnormal has 65 live roles in MeritLog’s catalog across 9 job families, and 25 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
Abnormal concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- Work in a team 8-10 engineers, writing and reviewing code daily alongside them
- Collaborate closely on technical direction while building the foundations for a scalable product
- Partner directly with internal and external customers to gather feedback and iterate quickly
- Grow the team and product as we find traction and expand scope
- Set engineering standards and practices that will scale as the team grows
- Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit
- Have strong instincts for what customers need and how to translate that into product decisions
- Enjoy the founding-team dynamic: small group, high ownership, fast iteration
- Prefer working on established teams with well-defined roadmaps
- Are uncomfortable with the ambiguity of an early-stage product still finding its footing
- 5+ years of software engineering experience
- Track record of shipping products in fast-moving environments
- Ability to read, write, and review code at a high level (Python/Go preferred)
- Experience hiring and developing engineers
- Bay Area location required-we operate with 25% in-office presence
What they're asking for
- Experience building enterprise/B2B security productsSkillPreferred
- Familiarity with machine learning systems or ML-adjacent infrastructureSkillPreferred
- Exposure to AWS, Kafka, containerized services, microservicesSkillPreferred
- Expand scope as Identity Security grows, taking on additional product linesSkillPreferred
- Build out a larger team as we scale beyond initial product-market fitSkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
Senior Software Engineer - Identity Security Enterprises are undergoing two simultaneous transformations: moving critical infrastructure to the cloud and adopting AI agents at scale. Both create an identity explosion-humans, service accounts, and AI agents now outnumber traditional users 10-to-1, each with permissions that legacy tools can't govern. Abnormal's Identity Security team is building the platform to secure this new reality: unified visibility across all identity types, behavioral intelligence that understands what's normal, and AI-native automation that operates at cloud speed. We're extending the same behavioral approach that made Abnormal the leader in email security to protect identities across cloud infrastructure and AI systems. The Identity Security team is looking for a Senior Software Engineer to build this critical product area. You'll start hands-on with a small team, shipping code while growing the product toward market fit. What you will do • Work in a team 8-10 engineers, writing and reviewing code daily alongside them • Collaborate closely on technical direction while building the foundations for a scalable product • Partner directly with internal and external customers to gather feedback and iterate quickly • Grow the team and product as we find traction and expand scope • Set engineering standards and practices that will scale as the team grows This Role Is a Fit If You • Thrive in ambiguity and can guide a small team through uncertainty toward product-market fit • Have strong instincts for what customers need and how to translate that into product decisions • Enjoy the founding-team dynamic: small group, high ownership, fast iteration This Role Is Not a Fit If You • Prefer working on established teams with well-defined roadmaps • Are uncomfortable with the ambiguity of an early-stage product still finding its footing Must Haves • 5+ years of software engineering experience • Track record of shipping products in fast-moving environments • Ability to read, write, and review code at a high level (Python/Go preferred) • Experience hiring and developing engineers • Bay Area location required-we operate with 25% in-office presence Nice to Have • Experience building enterprise/B2B security products • Familiarity with machine learning systems or ML-adjacent infrastructure • Exposure to AWS, Kafka, containerized services, microservices Growth Paths • Expand scope as Identity Security grows, taking on additional product lines • Build out a larger team as we scale beyond initial product-market fit What We Offer The opportunity to join a veteran team that has built enduring ML platforms at Google, Twitter, Pinterest, Amazon, Microsoft, and Expanse. Our customer base includes multiple Fortune 500 companies, and Identity Security is a critical bet for Abnormal's future. #LI-NT1 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. Base salary range: $179,800-$258,500 USD 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.