Abnormal AI is scaling rapidly, and the infrastructure that powers our recruiting engine must scale with it.
We are seeking a Recruiting Systems & Operations Partner to strengthen and evolve the systems, workflows, and data infrastructure that enable high-quality hiring across the business. This role will help lead our ATS migration, improve operational workflows, strengthen reporting and data integrity, and introduce automation and AI-enabled capabilities that increase recruiter productivity and operational efficiency.
This role operates at the intersection of recruiting operations, systems architecture, and emerging AI-enabled workflows. You will partner closely with Recruiting, People Tech, IT, and internal AI teams to design durable systems and intelligent workflows that support hiring at scale.
What you will do- Serve as the subject matter expert for our recruiting systems and tools (Greenhouse, BrightHire, LinkedIn Recruiter, Crosschq, etc.), ensuring they are configured effectively and aligned with hiring priorities.
- Oversee administration and ongoing optimization of the ATS and integrated technologies, leading system enhancements, integrations, and contributing to future ATS implementation or migration efforts as business needs evolve.
- Conduct structured audits of systems, workflows, and data integrity to identify inefficiencies, compliance risks, and opportunities for improvement.
- Lead recruiting operations initiatives such as process automation, compliance enhancements, and technology integrations, developing structured plans and delivering results with minimal disruption to hiring activities.
- Design and refine recruiting workflows to ensure consistency, compliance, and scalability, building durable processes that support a long-term recruiting operating model.
- Strengthen data integrity and reporting reliability by standardizing key fields, improving metric definitions, building or refining dashboards, and enhancing forecasting visibility.
- Build strong cross-functional partnerships and establish working cadences to ensure recruiting systems align with evolving business priorities.
- Identify and implement automation opportunities that reduce manual work and streamline recruiting operations.
- Partner with internal AI and People Tech teams to design and orchestrate intelligent workflows across recruiting platforms and connected systems.
- Design and maintain AI-enabled knowledge systems that support recruiter self-service, documentation, policy access, and operational onboarding.
- Define how AI tools, LLM-based assistants, and automation interact with recruiting systems while ensuring security, compliance, and usability.
- Evaluate emerging AI and automation tools that improve recruiter productivity and operational scale.
- Manage vendor relationships and evaluate tool utilization, performance, and ROI to maintain an effective recruiting technology stack.
- 7+ years of experience in recruiting systems experience
- Experience configuring and optimizing a modern ATS platform; experience with Greenhouse or similar systems required
- Experience leading or contributing to ATS implementations, major reconfigurations, or complex system integrations.
- Strong analytical skills with demonstrated experience improving data integrity, reporting accuracy, operational visibility, and leveraging AI-enabled tools to enhance insights and automation.
- Demonstrated ability to diagnose and resolve complex operational challenges using structured problem-solving.
- Experience partnering cross-functionally with HR, Finance, IT, or Security stakeholders.
- Experience working with LLM-based tools, AI assistants, or automation platforms.
- Designing AI-enabled knowledge systems or internal documentation platforms.
- Bachelor’s degree in Human Resources, Business Administration, Information Systems, or a related field.
- Experience in high-growth or scaling technology companies.
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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.
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.
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.
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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.
