Senior Software Engineer, Adaptive Classification Team

Reposted 2 Days Ago
Hiring Remotely in USA
Remote
180K-259K Annually
Senior level
Security • Cybersecurity
The Role
The Senior Software Engineer will lead projects in the Adaptive Classifications team, focusing on backend systems, distributed computing, and architecting AI-driven workflows, while mentoring junior team members and collaborating across teams.
Summary Generated by Built In
About the Role

Abnormal AI is looking for a Senior Software Engineer to join the Adaptive Classifications Team. The team owns & operates Abnormal’s AI Security Mailbox and Detection 360 products. The team’s goal is to automate security analysts' workflows by providing them with reliable, intuitive, and delightful agentic products that give them back time in their day. 

This is a full-stack team responsible for all layers, including data storage, detection efficacy, backend, and frontend. The ideal candidate will have worked across the stack and have in-depth knowledge about backend systems, distributed computing, and event-driven architecture.

What you will do 
  • Work with the Engineering Manager & Product Manager to craft the roadmap for the ACT team. 
  • Lead and architect Software Projects critical to Abnormal’s success with a team of engineers through conception, design, implementation, launch & operation. 
  • Provide guidance and mentorship for junior members of the team 
  • Collaborate with Technical Program Managers, Product Managers, and Go-To-Market teams in order to implement, verify, and iterate on the issues & requests coming from our customers
  • Raise the bar of excellence in engineering, actively contributing to knowledge sharing within the team, and participating in professional development activities.
  • Grow into a tech lead role for the AI Security Mailbox product
  • Own key deliverables from e2e within our division's quarterly roadmap and a subset of the key divisional SLAs/SLOs
  • Provide direct leverage for the team by architecting and owning AI-native workflows to eliminate team toil.
Must Haves 
  • BS degree in Computer Science, Applied Sciences, Information Systems, or other related engineering field
  • 5+ years of industry experience on backend web development & distributed systems, designing & building software applications
  • 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 & components from scratch and operating them, balancing feature development work with operational tasks
  • Expert with Python and/or Go
  • Proficient and bullish about AI tools such as Cursor, Claude, and other AI native workflows
  • You’re growth-driven & looking to increase impact & responsibility over time
Nice to Have 
  • Experience with our stack: Python, Go, AWS, Kubernetes, Django, Celery, Kafka,  Prometheus, Postgres/MySQL
  • Experience with frontend frameworks, particularly React.js
  • Tech Lead Experience
  • Familiarity with AWS services and deployment practices.
  • Startup or Cybersecurity Experience
  • MS degree in Computer Science, Electrical Engineering, or other related engineering field

#LI-PP1

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.

Skills Required

  • BS degree in Computer Science or related field
  • 5+ years of industry experience in backend web development
  • Expert with Python and/or Go
  • Experience with distributed systems
  • Proficient in asynchronous communication

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.

  • 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.
  • 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.
  • 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

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The Company
San Francisco, CA
175 Employees
Year Founded: 2018

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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