SECTION I · THE BRIEF
Brief #52061Updated 03 MAR 2026HYBRID - SAN FRANCISCO, CA, USAGreenhouseMENLO VENTURES
Employbl Company Profile

Software Engineer 1, Product Engineering - Identity Security

The Abnormal Security platform protects enterprises from targeted email attacks. Abnormal Behavior Technology (ABX) models the identity of both employees and external senders, profiles relationships and analyzes email…

Location
Hybrid - San Francisco, CA, USA
Company size
1,000–5,000
Posted
4mo ago
Via
Greenhouse
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  • 01Comp band & equity packageLocked
  • 02Seniority & experience requirementsLocked
  • 03Interview process & rubricLocked
  • 04Hiring manager & team contextLocked
  • 05Growth trajectory in this roleLocked
  • 06Offer & decision timelineLocked

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Software Engineer 1, Product Engineering - Identity Security · Abnormal Security

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Job title
Software Engineer 1, Product Engineering - Identity Security
Job location
Hybrid - San Francisco, CA, USA
Job description

About the Role

This 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.

What you will do

  • 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.

Must Haves

  • 1+ 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

  • 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.

 

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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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Abnormal Security headquarters

San Francisco, CA

Company size

1,0005,000 employees

Founded

2018

Total raised

$534,000,000

View company profile ↗

Funding rounds

  • Series D$250M
  • Series D$250M
  • Series C$210M
  • Series C$210M
  • Series B$50M
  • Series B$50M
  • Series A$24M
  • Series A$24M