Senior Software Engineer - Product Engineering (Identity Security) at Abnormal AI

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

258500.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, Product Engineering, Identity Security, Cloud Infrastructure, Machine Learning, AWS, Kafka, Microservices, Containerized Services, B2B Security Products, Software Architecture, Technical Leadership, Hiring and Mentoring, Code Review, Product-Market Fit

Industry

Computer and Network Security

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'll 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 Requirements 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 Preferred 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 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.

Responsibilities

Build and scale a platform for identity security focusing on unified visibility and AI-native automation. Collaborate with a small team to ship code, gather customer feedback, and set engineering standards for a growing product.