Recruiting Systems & Operations Partner

About the Role

Abnormal 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.

Must Haves 

• 4-7+ years of experience in recruiting operations, talent systems, or similar infrastructure-focused roles.
• 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.

Nice to Have

• Bachelor’s degree in Human Resources, Business Administration, Information Systems, or a related field.
• Experience working with LLM-based tools, AI assistants, or automation platforms.
• Familiarity with designing AI-enabled knowledge systems or internal documentation platforms.
• Experience in high-growth or scaling technology companies.

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