Nothing exceptional was ever normal. At Abnormal AI, people are our greatest asset, and the Recruiting team is on the frontlines, helping to build and scale the organization with outstanding talent to achieve our business goals. We are looking for a motivated and proactive Technical Recruiter to join the team! This position requires a highly organized, data-driven individual. You will play a crucial role in the success of recruiting and in Abnormal AI’’s ability to scale in the APAC region. This role requires attention to detail and the uncanny ability to juggle multiple high-priority requests while interacting professionally with people inside and outside the organization.
What you will doYou love to find hidden gems—the “ideal” candidates—and change lives. Recruiting is not just a job to you; it's a way of life. You are a natural connector and a people magnet. As a Technical Recruiter at Abnormal AI, you will partner with Engineering and Recruiting leadership to help build a world-class Engineering team at the center of our products.
As talent advisors on our team, we trust our recruiters to be consultants to our hiring teams. You’re the type of recruiter who partners with stakeholders and business leaders and who provides insight and strategy throughout the hiring process. You move and iterate quickly, thriving in opportunities to learn about teams, products, and technologies. At the end of the day, your impact is measured by bringing top talent to Abnormal AI to help shape the future of our products and realize our mission.
Must Haves- 5+ years of full life-cycle recruitment experience, with at least 5 years recruiting for technical/engineering positions
- Experience building globally distributed teams and working across multiple time zones
- Experience building and scaling engineering teams, preferably in one or more of the following areas of focus:
- Full Stack or Backend Engineering
- Engineering Management
- AI and Machine Learning
- Ability to use internal or external data to influence stakeholders and drive departmental or organizational outcomes
- Strong verbal and written communication skills, with the ability to influence and collaborate effectively with cross-functional teams
- Ability to work in a fast-paced, ambiguous environment
- Background or education in a technical field—Computer Science, Information Technology, Computer Software, Electrical Engineering, etc.
- Experience building engineering teams from the ground up
- Familiarity or experience with our internal recruitment tech stack—Greenhouse, Gem, LinkedIn, or similar tools and platforms
- Ability to work with little direction and yet drive projects to successful outcomes
#LI-JT1
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.
Top Skills
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.
.jpg)
