Global Mobility Program Execution & Strategy Evolution

Own and drive the end-to-end execution of global mobility programs, focusing on operating and scaling an established program. Lead day-to-day program delivery, including training, education, and consistent execution across regions (80% focus of role). Evolving and scaling mobility policies (e.g., long- and short-term assignments, permanent transfers, cross-border remote work) to ensure alignment with business needs and practical application (20% focus of role). Establish and optimize scalable, repeatable processes across key mobility types, including long-term expatriate assignments, short-term assignments and secondments, intra-company transfers, permanent relocations, cross-border remote work, and PEO-to-entity transitions. Drive continuous improvement using data, feedback, and operational insights to enhance efficiency, employee experience, and program impact. Ensure programs are cost-effective, scalable, and aligned with talent strategy and workforce planning. Evaluate and implement new mobility approaches (e.g., commuter or virtual assignments) to expand program capability. Partner with Talent Acquisitions, and business leaders to ensure strong adoption and enablement of mobility programs across regions. Balance global standardization with regional flexibility to ensure programs are both consistent and locally executable.

Compliance, Risk Management & Governance

Ensure compliance with immigration laws, tax regulations, and employment legislation across jurisdictions. Partner with Legal and Tax teams to mitigate risks related to cross-border employment. Maintain strong governance practices, including documentation, audit readiness, and policy controls. Monitor regulatory changes and update programs accordingly.

Mobility Operations & Service Delivery

Oversee end-to-end mobility lifecycle: initiation, relocation, onboarding, assignment management, and repatriation. Ensure high-quality employee experience for assignees and their families. Manage relocation vendors and service providers (e.g., RMCs, immigration counsel, tax advisors). Establish and monitor SLAs and KPIs for service delivery.

Stakeholder Partnership & Program Enablement

Partner with HRBPs, Talent Acquisition, Compensation, and business leaders to support global hiring and workforce deployment. Advise stakeholders on mobility risks, costs, and best practices to inform decision-making. Own training, education, and enablement of mobility programs to drive understanding, adoption, and consistent execution. Lead change management efforts, including communication and stakeholder engagement, to support program rollout and scaling. Serve as the primary escalation point, resolving mobility concerns and identifying root causes for improvement.

Reporting, Analytics & Cost Management

Develop and maintain dashboards and reports on global mobility activity, costs, trends, and compliance metrics. Analyze trends to inform decisions and improve program outcomes. Manage mobility budgets, forecasts, and cost projections. Track ROI of mobility programs and identify cost optimization opportunities. Ensure accurate reporting for internal stakeholders and external compliance requirements.

Vendor & Technology Management

Manage relationships with relocation management companies (RMCs), immigration providers, and tax vendors. Evaluate vendor performance and conduct regular business reviews. Lead implementation and optimization of mobility technologies and tools. Drive automation and process improvements

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$380K – $555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.

About the Role

In this role, you will build the systems that enable advanced AI models to run efficiently at scale. You will operate at the intersection of model research and systems engineering, translating new architectural ideas into high-performance inference systems that surface real tradeoffs in performance, memory, and scalability.

Your work will directly influence how models are designed, evaluated, and iterated on across the research organization. By developing and evolving high-performance inference infrastructure, you will enable researchers to explore new ideas with a clear understanding of their computational and systems implications.

This is not a product-serving role. Instead, it is a research-enabling systems role focused on performance, correctness, and realism - ensuring that AI research is grounded in what can actually scale.

In this role, you will:

• Design and build high-performance inference runtimes for large-scale AI models, with a focus on efficiency, reliability, and scalability.

• Own and optimize core execution paths, including model execution, memory management, batching, and scheduling.

• Develop and improve distributed inference across multiple GPUs, including parallelism strategies, communication patterns, and runtime coordination.

• Implement and optimize inference-critical operators and kernels informed by real-world workloads.

• Partner closely with research teams to ensure new model architectures are supported accurately and efficiently in inference systems.

• Diagnose and resolve performance bottlenecks through profiling, benchmarking, and low-level debugging.

• Contribute to observability, correctness, and reliability of large-scale AI systems.

You might thrive in this role if you:

• Have experience building production inference systems, not just training or running models.

• Are comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs.

• Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.

• Can reason end-to-end about inference pipelines, from request handling through execution and output streaming.

• Are able to understand research ideas and implement them within real system and performance constraints.

• Enjoy solving hard, ambiguous systems problems that only emerge at scale.

• Prefer hands-on technical ownership and execution over abstract design work.

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.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

Required Skills

• Experience building production inference systems, not just training or running models

• Comfortable with GPU-centric performance engineering, including memory behavior and latency/throughput tradeoffs

• Multi-GPU or distributed systems involving batching, scheduling, or runtime coordination

• Reasoning end-to-end about inference pipelines, from request handling through execution and output streaming

• Understanding research ideas and implementing them within real system and performance constraints

• Solving hard, ambiguous systems problems that only emerge at scale

• Hands-on technical ownership and execution over abstract design work

Preferred Skills

• Experience working with large-scale AI models

• Distributed inference across multiple GPUs

• Parallelism strategies, communication patterns, and runtime coordination

• Implementing and optimizing inference-critical operators and kernels

• Observability, correctness, and reliability of large-scale AI systems

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

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This is a high-impact, hands-on role for someone who thrives in fast-moving environments, enjoys solving complex cross-border challenges, and wants to help shape how a talent-dense company scales globally.

What you'll do

• Manage all aspects of U.S. and international immigration programs, partnering with external counsel where appropriate
• Lead end-to-end employee relocations (domestic and international), delivering a high-touch, seamless experience
• Develop and maintain global mobility policies, guidelines, and internal documentation
• Ensure compliance with immigration, tax, payroll, and employment regulations across jurisdictions
• Partner with Recruiting to assess visa feasibility and mobility options for candidates
• Track key mobility metrics, manage case workflows, and maintain accurate documentation and reporting
• Evaluate and manage mobility vendors (immigration counsel, relocation providers, tax advisors)
• Proactively identify risks and implement scalable processes as we grow into new geographies
• Advise employees and managers on mobility timelines, expectations, and best practices

You may be a fit if

• You have 6+ years of experience in global mobility, immigration, or international HR operations
• You've managed U.S. immigration programs in-house and are comfortable navigating complex cases
• You understand cross-border tax, relocation logistics, and compliance considerations
• You're highly detail-oriented and operationally rigorous, but pragmatic when speed is required
• You're comfortable working in a flat, high-ownership environment with minimal bureaucracy
• You communicate clearly and confidently with candidates, employees, executives, and external counsel
• You're excited about building programs from scratch and improving them continuously
• You care deeply about employee experience and balancing compliance with empathy & urgency
• You're willing to work in-person in San Francisco or New York

If you're energized by enabling exceptional people to do their best work — wherever they're coming from — we'd love to talk.

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Trust & Safety Operations Analyst

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $189K – $280K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base.

We support users across ChatGPT, our API, enterprise offerings, and developer tools handling sensitive inbound cases, building detection and enforcement systems, and scaling operational processes to meet the demands of a fast-moving, high-stakes environment.

About the Role

We are seeking experienced, senior-level analysts who specialize in one or more of the following areas:

• Content Integrity & Scaled Enforcement – Detecting, reviewing, and acting on policy violations, harmful content, and emerging abuse patterns at scale.

• Emerging Risk Operations – Identifying, triaging, and mitigating new and complex safety, policy, or integrity challenges in a rapidly evolving AI landscape.

In this role, you will own high-sensitivity workflows, act as an incident manager for complex cases, and build scalable operational systems; including tooling, automation, and vendor processes that reinforce user safety and trust while meeting our legal, ethical, and product obligations.

We use a hybrid work model of 3 days in the San Francisco office per week and offer relocation assistance to new employees.

Please note: This role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.

In This Role, You Will:

• Handle and resolve high-priority cases in your area of specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks).

• Perform in-depth risk evaluations and investigations using internal tools, product signals, and third-party data.

• Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.

• Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies.

• Build feedback loops from casework to inform product, engineering, and policy improvements.

• Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors.

• Lead or contribute to cross-functional projects, from zero-to-one process builds to global operational scale-ups.

• Monitor operational health through case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics.

• Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards.

You Might Thrive in This Role If You:

• Have 5+ years of experience in one or more of: trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment.

• Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.

• Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks.

• Have a track record of scaling operations, building processes, and working cross-functionally to improve performance and safety outcomes.

• Possess exceptional analytical skills able to detect patterns, assess risk, and recommend policy or product changes based on evidence.

• Communicate with clarity, empathy, and precision especially in sensitive user-facing contexts.

• Thrive in ambiguous, high-autonomy environments and balance speed with diligence.

Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.

What We Offer

• Competitive salary and equity package

• Comprehensive benefits, including medical, dental, and vision insurance

• 401(k) retirement plan with employer match

• Paid parental leave and medical and caregiver leave

• Flexible PTO and paid company holidays

• Mental health and wellness support

• Annual learning and development stipend

• Daily meals in our offices and meal delivery credits

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

How to Apply

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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What you'll do

• Lead IT operations across all APAC countries, ensuring seamless service delivery and operational excellence.
• Manage Secure Chambers and restricted environments to uphold stringent security and compliance requirements.
• Oversee customer support IT operations, guaranteeing high availability and continuity of critical services.
• Drive and deliver regional and global IT projects, including infrastructure upgrades, cloud adoption, security initiatives, office relocations, and M&A integrations.
• Champion AI-enabled and automation initiatives to enhance efficiency, scalability, and service quality across the IT landscape.

What you need

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 8–12+ years of proven IT management experience, including direct people leadership.

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