Abnormal AI is redefining cybersecurity with an AI-native platform that protects modern enterprises from advanced email attacks, account compromise, and human-targeted threats. We’re looking for a Software Engineer II – Backend to join the Customer Journey team, which builds the product and platform experiences that help customers onboard quickly and successfully — reducing manual work, improving reliability, and moving customers from initial setup to full activation. As a SWE2, you will build scalable backend systems that improve onboarding quality, speed, and time-to-value, with an expectation to leverage modern AI development tools to build faster and ship higher-quality software.
What you will do- Leverage AI development tools to enhance productivity, optimize workflows, and deliver reliable production outcomes
- Build backend services and workflows that make POV onboarding smoother, faster, and more self-serve for customers
- Design scalable systems that provide end-to-end visibility across onboarding processes and reduce dependency on downstream modules
- Develop and improve core backend systems across tenant management, onboarding orchestration, setup tooling, and command center experiences
- Collaborate with engineers and cross-functional partners to deliver impactful solutions for customers and internal teams
- Build reliable APIs and backend architectures that support enterprise-grade onboarding workflows at scale
- Take ownership of features end-to-end, from design and implementation through testing, rollout, and production validation
- 3+ years of professional experience in software development
- Backend development experience with Python and/or Golang
- Experience with AI development tools such as Cursor, GitHub Copilot, or Claude
- Experience building scalable, enterprise-grade applications
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Strong fundamentals in computer science, data structures, debugging, and performance optimization
- Experience building onboarding, provisioning, workflow orchestration, or platform automation systems
- Familiarity with backend systems that provide process visibility, status tracking, or operational tooling
- Experience with distributed systems, service-oriented architectures, or event-driven workflows
- Exposure to tenant lifecycle management, setup automation, or enterprise SaaS platform workflows
- Experience improving service reliability, resiliency, and observability in production systems
- Experience working on cybersecurity, enterprise SaaS, or customer-facing platform products
Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI-powered tools like Cursor and Copilot to build real-world application features. This challenge is a take-home assignment, requiring 2–4 hours of work to be completed within one week — apply when you're ready!
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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.
Skills Required
- 3+ years of professional experience in software development
- Backend development experience with Python and/or Golang
- Experience with AI development tools such as Cursor, GitHub Copilot, or Claude
- Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)
- Strong fundamentals in computer science, data structures, debugging, and performance optimization
Abnormal Security Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Abnormal Security and has not been reviewed or approved by Abnormal Security.
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Fair & Transparent Compensation — Pay is considered aggressively benchmarked to leading tech markets with annual reviews, and feedback suggests engineering and sales roles are compensated competitively with strong upside potential.
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Healthcare Strength — Health coverage is portrayed as robust, including employer-paid premiums for employees in prior postings, One Medical access, and globally designed healthcare and parental leave.
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Leave & Time Off Breadth — Time off provisions include flexible/unlimited PTO, company holidays, and paid parental leave that the company positions as globally available.
Abnormal Security Insights
What We Do
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 content to stop attacks that lead to account takeover, financial damage and organizational mistrust. Though one-click, API-based Office 365 and G Suite integration, Abnormal sets up in minutes and does not disrupt email flow. Abnormal Security was founded in 2018 by CEO Evan Reiser, CTO Sanjay Jeyakumar, Head of Machine Learning Jeshua Bratman, and Founding Engineers Abhijit Bagri and Dmitry Chechik. The team previously built behavioral profiling and machine learning technologies at Twitter, Google and Pinterest that are being applied to solve a problem that costs organizations $1 billion per year, according to the FBI. The Abnormal Security platform stops targeted phishing, business email compromise and account takeover attacks that have never been seen before.
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