Recruiting Infrastructure Manager

Recruiting Infrastructure Manager About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world’s top talent across research, engineering, product, policy, and operations. OpenAI’s Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem—ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We’re looking for a Recruiting Infrastructure Manager to own the strategy and execution for OpenAI’s recruiting technology ecosystem, recruiting analytics, and the integrations/automation that keep hiring fast, accurate, and scalable. This role owns the end-to-end roadmap and operational health of recruiting infrastructure—from vendor lifecycle and tooling strategy to data quality standards, self-service insights, and workflow automation. You’ll partner closely with Recruiting leadership, Systems & Enablement Leads (who administer and support our tools day to day), People Analytics, People Tech/Talent Systems, IT, Legal, and Finance/Procurement. Your Responsibilities: - People Leadership: Lead and develop Systems & Enablement Leads; set priorities, operating cadences, and performance expectations to ensure reliable ownership of recruiting workflows and tooling. - TA Tech Stack (Roadmap + Vendor Lifecycle): Own the full lifecycle of the recruiting tech stack, including tool health audits, vendor management/renewals, adoption improvements, deprecations, and the evaluation/implementation of new tools when there is clear ROI. - Operational Efficiency + Experience: Drive a prioritized roadmap that reduces manual work and improves recruiter, coordinator, hiring manager, and candidate experience through better workflow design, configuration, and governance. - Analytics & Insights: Partner with Recruiting leadership and People Analytics to align on the metrics that matter, standardize definitions, and build self-service visibility into funnel health, pipeline flow, recruiter capacity, bottlenecks, and time-to-hire. - Data Quality & Governance: Establish data quality standards and operating mechanisms that drive accountability for data hygiene across Recruiting (guardrails, audits, validation rules, enablement, and monitoring). - Integrations: Collaborate with People Tech/Talent Systems, IT, and People Analytics to design and deliver reliable integrations across ATS, HRIS, scheduling, assessments, offers, and downstream systems. - Automation (Including AI Pilots): Identify repetitive manual work and implement durable fixes via configuration, automation, and systems improvements; pilot and scale pragmatic AI-enabled workflows where valuable and safe. - Change Management & Enablement: Own rollout planning, training, documentation, and communications so changes land smoothly; build operating cadences (intake, prioritization, release notes, stakeholder updates, hypercare, retros) that keep the ecosystem healthy and transparent. We’re Seeking: - 10+ years of progressively responsible experience in recruiting operations, talent systems, people technology, or TA programs in a fast-paced, scaling environment. - Proven success owning a TA systems roadmap and optimizing a modern tech stack to reduce manual work and improve user experience (ATS + scheduling + assessments + reporting ecosystem). Preference towards Ashby experience. - Demonstrated ability to operationalize TA metrics, build self-service dashboards, and use data to influence hiring strategy and operational priorities. - Hands-on experience partnering with People Tech/Talent Systems and IT to deliver integrations and system changes reliably. - Strong track record of establishing data quality standards, driving accountability for accurate system usage and data hygiene, and a ... (truncated, view full listing at source)