招聘
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
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.
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关于Abnormal Security

Abnormal Security
Series BSoftware company.
201-500
员工数
Miami
总部位置
$4B
企业估值
评价
3.0
1条评价
工作生活平衡
3.0
薪酬
3.0
企业文化
2.5
职业发展
4.0
管理层
2.0
60%
推荐给朋友
优点
Lots of opportunity for impact
Plenty of work and projects
High impact role
缺点
Questionable leadership
Non data-driven decisions
Poor management decisions
薪资范围
50个数据点
Senior/L5
Senior/L5 · Senior Manager of Customer Success
1份报告
$202,412
年薪总额
基本工资
$176,010
股票
-
奖金
-
$202,412
$202,412
面试经验
1次面试
难度
1.0
/ 5
时长
14-28周
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
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