At a glance
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco
About OpenAI
- OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
- We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
- For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
- Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
- To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance.
- We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
About the role
- As Global Candidate Experience Manager at OpenAI, you will manage CE managers and Interview Programs program managers with global responsibility for candidate experience, coordination, and interview program delivery.
- You will lead through a team of managers, leads, and program owners while staying close to daily work to understand bottlenecks, build AI-enabled workflows, and drive complex programs.
Responsibilities
- Manage and develop CE managers and Interview Programs program managers; support their leads and coordinators through clear priorities, delegated decisions, timely feedback, and fair accountability.
- Stay close to daily work through queue reviews, workflow walkthroughs, and direct team feedback, diagnosing system, capacity, and skill problems while personally leading selected projects.
- Own CE service delivery across high-volume and confidential Executive/Research hiring, improving scheduling, routing, handoffs, and onsite experience.
- Build and maintain a capacity model covering demand mix, handling time, productive hours, skills, regional coverage, leave, rework, and backlog recovery.
- Set priorities across CE service and Interview Programs with recruiting leaders, making staffing and service tradeoffs early.
- Drive programs and projects end to end by defining the problem and success measures, managing owners, milestones, dependencies, risks, launch readiness, and adoption.
- Own Interview Programs’ operating model, priorities, and delivery through accountable program owners, including readiness, onboarding, calibration support, question governance, and loop health.
- Personally shape and test practical AI-enabled workflows with Recruiting Optimization and People Technology using approved data, evaluation cases, human review, monitoring, and rollback.
- Measure net improvements after review and rework, and turn successful pilots into adopted processes with training, documentation, and accountable owners.
- Run a focused service-health cadence using queue age, SLA attainment, demand/capacity variance, scheduling efficiency, quality/rework, candidate feedback, and interviewer load.
Requirements
- Strong operations leadership: Led high-performing teams in People Operations, Recruiting Operations or another operations function, with clear accountability for service quality and results.
- Experience at scale: Managed high-volume operations in a high-growth environment, adapting staffing, workflows and priorities as demand and complexity increased.
- Excellent program management: Delivered complex, cross-functional programs from problem definition through launch and sustained adoption, with clear owners, milestones, dependencies and measures of success.
- People leadership: Managed and developed managers and program owners through effective coaching, delegation, feedback and accountability.
- Hands-on execution and bias to action: Stays close to frontline work, uses data to diagnose problems and moves work forward with sound judgment—even when the path is unclear.
- Practical AI experience: Personally built, configured or tested AI-enabled workflows and can explain what improved, how they evaluated it and what they learned.
Preferred qualifications
- Experience running multi-region coverage or supporting a mix of high-volume and confidential, bespoke hiring.
- Contingent-workforce planning, including vendor coordination, handoffs and continuity through departures.
- Ashby and Guide experience, or deeper experience with question governance, integrity escalation and interviewer readiness.
Workplace
- Hybrid schedule with Monday to Wednesday in office.
Skills
- Ashby
- Guide
