This position exists to develop and enhance the customer onboarding experience and set up systems owned by the Customer Journey (CJ) team, within the Multi-Product Platform (MPP) division. The role plays a critical part in helping the team deliver on its mission: making POV (Proof of Value) onboarding smoother, faster, and increasingly self-serve. You will contribute directly to the backend systems that take enterprise customers from evaluation to full deployment, and help strengthen the team’s ability to deliver reliable, automated onboarding workflows at scale.
What you will doAbnormal AI is looking for a driven and growth‑oriented Backend Software Engineer to join the Customer Journey (CJ) team. The team builds and maintains Abnormal’s customer onboarding and tenant management systems within the Multi-Product Platform (MPP) division. As a member of the team, you will build and scale backend services, contribute to automating manual steps in the onboarding process, and help decouple downstream systems from the onboarding pipeline. You’ll work across APIs, backend services, and data workflows to solve technical challenges related to large-scale customer provisioning at scale. We’re looking for candidates who are eager to learn, excited to work collaboratively, and motivated by building systems that directly impact how customers experience Abnormal.
Must Haves- 2+ years of experience as a software engineer with a strong foundation in coding and problem-solving.
- 1+ years of hands-on experience in backend development using Python or Golang, with exposure to cloud-native environments.
- Solid understanding of databases, REST APIs, and data pipelines.
- Familiarity with LLMs and AI development tools such as Cursor, GitHub Copilot, or Claude.
- Experience working individually as well as in groups on a regular basis.
- Experience working with distributed teams, proficient in asynchronous and written communication.
- Experience building features and components from scratch and operating them, balancing feature development with operational tasks.
- Experience with Apache Airflow
- Familiarity with AWS services and deployment practices.
- Experience in building a feature or component from scratch
Once you apply, you’ll be invited to our AI-powered 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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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.
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.
