Software Engineer 2, Product Engineering - Identity Security
Quick Summary
prototype quickly, test assumptions, learn from usage, and scale simple solu
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,
About the Role
~1 min readThis is a Bay Area based role with periodic onsite requirements. You should expect to work onsite in the Bay Area for designated periods throughout the year as required by the business, which may include consecutive weeks or months, totaling approximately 25% of working time annually.
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.
Responsibilities
~1 min read- →Build discovery, classification, monitoring, and protection for machine identities and their agentic actions.
- →Ship guardrails and policy engines that enable safe automation while preventing misuse, escalation, and anomalous behavior.
- →Create high‑availability pipelines that ingest and correlate identity, authorization, and behavioral signals from cloud, SaaS, IAM/SSO, and audit logs.
- →Drive 0→1 iteration: prototype quickly, test assumptions, learn from usage, and scale simple solutions.
- →Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals.
Requirements
~1 min read- 2+ years building software applications.
- Experience productionizing large‑scale, data‑intensive systems.
- High velocity and creativity in solving technical challenges.
- Experience & desire to adopt & improve AI-native development workflows.
- Strong debugging with logs, metrics, and signals.
- Ability to translate business requirements into high‑quality software.
- Ability to independently solve complex problems and work cross‑functionally.
- BS in CS/SE/IS or related field.
Nice to Have
~1 min read- Experience with Go and Python.
- Experience in IAM, non‑human/machine identities, secrets management, workload identities, OAuth/OIDC, SCIM, SSO, or policy engines.
- Experience in cybersecurity or related industries.
- Experience with big data, statistics, and ML for identity/behavioral risk modeling.
#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.
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.
Listing Details
- First seen
- March 25, 2026
- Last seen
- April 21, 2026
Posting Health
- Days active
- 26
- Repost count
- 0
- Trust Level
- 37%
- Scored at
- April 21, 2026
Signal breakdown
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