OpenAI
Artificial Intelligence
RecruitingOptimizationManager
Neural analysis suggests this role is
optimal for Senior candidates.
“Recruiting Optimization Manager at OpenAI. Skills: Recruiting Operations, Systems Thinking, Process Optimization, Automation, Scalability. Building and strengthening the systems, workflows, and operational infrastructure that make hiring at OpenAI fast, rigorous, and scalable. Leading Recruiting Operations optimization efforts across workflow design, operational automation, systems enablement, and scalable service operations”
What You'll Achieve.
Ensure recruiting foundations are efficient, reliable, auditable, and built to scale; Improve how hiring runs at scale; Reduce manual work through better tooling, automation, and process design; Improve the operational systems and workflows that underpin recruiting, with a focus on scalability, reliability, and efficiency; Drive improvements across the recruiting technology stack; Drive continuous improvement across operational performance and system effectiveness; Raise the bar on data accuracy, systems hygiene, documentation, and process discipline across recruiting operations; Resolve root causes of complex operational issues; Focus on practical automation, usability, governance, and measurable impact for AI-enabled recruiting operations
Industry & Context.
Structured problem-solving; Debugging process failures, systems gaps, or data issues
What They're Looking For.
Must Have
8+ years of experience in recruiting operations, talent operations, people systems, or similar operational environments, prior people management experience, Experience leading teams in fast-paced, high-growth environments with a focus on systems, process improvement, and operational execution, operational design and process optimization skills, experience scaling recruiting workflows and infrastructure, Demonstrated experience building or driving workflow automations, tooling enhancements, systems improvements, or operational redesigns in recruiting or related environments, Experience using metrics, service levels, and operational reviews to manage performance and uncover opportunities for optimization and automation, cross-functional partnership skills, especially with Recruiting, People Systems, Analytics, Finance, Legal, and IT, Excellent judgment, prioritization, communication, and attention to detail in high-stakes environments, Interest in AI-enabled operations, with a pragmatic approach to adopting new tools and workflows
Nice to Have
Comfort working across ATS, workflow, integration, and support experience with platforms such as Ashby, Workday, Guide, or similar systems is a plus
What You'll Do.
Building and strengthening the systems
and operational infrastructure that make hiring at OpenAI fast
Leading Recruiting Operations optimization efforts across workflow design
operational automation
and scalable service operations
Leading work across recruiting systems
and data integrity to improve how hiring runs at scale
Translating business needs into durable operational solutions
Driving improvements across the recruiting technology stack
Identifying opportunities to reduce manual work through better tooling
Owning and improving the operational systems and workflows that underpin recruiting
with a focus on scalability
and continuously optimizing automations across recruiting workflows
or error-prone work and converting it into streamlined
and scalable processes
Using data to monitor process health
and drive continuous improvement across operational performance and system effectiveness
Raising the bar on data accuracy
and process discipline across recruiting operations
Acting as an escalation point for complex operational issues
using structured problem-solving and sound judgment to resolve root causes
Contributing to an AI-enabled roadmap for recruiting operations
How You'll Work.
Team & Collaboration
Partnering across recruiting, systems, and people teams; Partnering with Recruiting, People Systems, and cross-functional stakeholders; Credible with stakeholders and able to build working relationships across recruiting, systems, analytics, finance, legal, and IT
Communication Scope
Communication
Process & Methodology
Prioritization
Full Job Description
About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The Recruiting Optimizations Manager is responsible for building and strengthening the systems, workflows, and operational infrastructure that make hiring at OpenAI fast, rigorous, and scalable. This role partners across recruiting, systems, and people teams to ensure recruiting foundations are efficient, reliable, auditable, and built to scale as OpenAI continues to grow rapidly and globally. This role leads Recruiting Operations optimization efforts across workflow design, operational automation, systems enablement, and scalable service operations. About the Role This role is focused on the systems and operational backbone of recruiting. The Recruiting Operations Manager will lead work across recruiting systems, workflow design, automation, process optimization, and data integrity to improve how hiring runs at scale. This role will translate business needs into durable operational solutions, drive improvements across the recruiting technology stack, and identify opportunities to reduce manual work through better tooling, automation, and process design. The right person will combine strong people management with systems thinking, operational rigor, and a practical approach to scaling high-quality recruiting infrastructure. This role is based in San Francisco, CA. We are not considering remote candidates at this time. In this role, you will: - Lead and develop a high-performing Recruiting Operations team, setting clear expectations, building strong judgment, and supporting career growth. - Own and improve the operational systems and workflows that underpin recruiting, with a focus on scalability, reliability, and efficiency. - Design, implement, and continuously optimize automations across recruiting workflows, approvals, data quality checks, reporting processes, and sy
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