Description
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.
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.
- Data Integrity & Foundations: 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.
Requirements:
- 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 applying systems thinking on a high-velocity team.
- High ownership, excellent judgment, and the ability to influence cross-functional stakeholders (including leadership) through ambiguity and competing priorities.
- Curiosity and pragmatism around automation/AI,energized to explore solutions and scale what works responsibly.
Workplace & Location: This role is based in our San Francisco office and we aren’t considering remote applications at this time. We offer relocation support to new employees, and we use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays.