OpenAI

Engineer

• Develop and maintain performance modeling tools and frameworks.
• Build models to evaluate system behavior across: compute, memory, and interconnect subsystems
• distributed system scaling and bottlenecks.
• Run simulations and analytical models to support architectural tradeoff analysis.
• Collaborate with performance modeling lead and system architects to answer forward-looking design questions.
• Analyze and interpret modeling outputs, translating results into actionable insights.
• Validate models against real system measurements and workload behavior.
• Contribute to improving modeling fidelity, usability, and scalability.

Performance Modeling Engineer

Attorney

• Establishing expert-informed thresholds for law enforcement referrals related to violent activities, and contributing to maturing and growing OpenAI’s efforts to mitigate credible and imminent threat of violence against others.
• Advising on high-risk cases, applying behavioral threat assessment expertise to evaluate whether user activity meets criteria for proactive disclosure, while ensuring alignment with legal obligations, privacy protections, and human rights standards.
• Engaging external experts (e.g., mental health professionals, behavioral specialists, and law enforcement) to inform case evaluations and continuously refine OpenAI’s legal and assessment methodologies.
• Ensuring that OpenAI’s internal protocols, policies, and practices for detecting and assessing potential indicators of violence align with professional and industry standards for behavioral threat assessment and risk management while respecting user privacy and free speech rights.
• Representing OpenAI in relevant violence detection and prevention-related external engagements and convening multi-disciplinary experts to advise on recommended guidelines related to law enforcement referrals.
• Collaborating with internal teams on other responses to violent activities, including model responses to concerning user content, and threat detection and assessment efforts including triage for identification of priority matters.

Violence Risk & Legal Response Lead

Architect

• Define rack- and cluster-level reference architectures for AI infrastructure deployments.
• Translate workload requirements into clear system design specifications and partner deliverables.
• Collaborate with performance modeling teams to evaluate architectural tradeoffs and system behaviors.
• Align internal stakeholders and external partners on critical system attributes (performance, cost, power, reliability, scalability).
• Identify gaps in current technology offerings and drive vendors (ODM/JDM, silicon, networking) to close those gaps.
• Influence and shape vendor roadmaps to meet future infrastructure needs.
• Track emerging technologies and evaluate their applicability to AI systems.
• Define and lead proof-of-concept (PoC) efforts to validate new architectures and technologies.
• Act as a key interface between OpenAI and external partners, ensuring execution against design intent.

3P Architect

Network Engineer

• Define controls, automation, and OT network requirements for AI data center campuses.
• Develop reference architectures, engineering standards, and reusable design templates.
• Review and develop basis-of-design and functional design documents, including OT network diagrams, IP/VLAN schemes, telemetry architectures, data flow diagrams, and commissioning requirements.
• Design OT and infrastructure network architectures, including physical topology, logical topology, IP addressing, subnetting, VLANs, routing, switching, redundancy, segmentation, firewall policy coordination, out-of-band management, monitoring, and remote access patterns.
• Develop day-two network operations requirements, including change management, configuration backups, golden configurations, monitoring thresholds, firmware lifecycle, rollback plans, and post-change validation.
• Partner with electrical, mechanical, IT/networking, security, and operations teams to ensure OT network systems align with GPU deployments, campus-wide telemetry, and failure-domain isolation requirements.
• Define integration patterns and protocol requirements across BACnet/IP, BACnet MSTP, Modbus TCP/RTU, OPC UA, IEC-61850 MMS/GOOSE, MQTT, SNMP, syslog, NTP/PTP, IRIG-B, and vendor-specific interfaces.
• Lead technical evaluation of controls integrators, network equipment suppliers, design consultants, contractors, and commissioning agents.
• Review network equipment submittals, configurations, firmware assumptions, certifications, test reports, and quality documentation.
• Support factory witnessed testing (FWT), site acceptance testing, network readiness checks, failover testing, and integrated systems testing.
• Troubleshoot complex controls network issues including packet loss, latency, duplicate IPs, routing errors, firewall drops, protocol incompatibilities, time synchronization drift, and intermittent device communication failures.

Data Center Controls Network Engineer

• Port and enable benchmarks and real-world workloads on new hardware platforms.
• Evaluate system performance across compute, memory, storage, and networking subsystems.
• Identify and analyze performance bottlenecks and inefficiencies.
• Adapt and optimize workloads to better utilize hardware capabilities.
• Develop and run performance experiments and profiling workflows.
• Compare expected vs. observed performance and provide feedback to:
• - hardware architecture teams
• - performance modeling teams
• - system and software engineers.
• Debug issues across the stack, including software, runtime, and hardware interactions.
• Provide actionable insights to guide platform readiness and deployment decisions.

Workload Porting, Performance Engineer

Product Manager

• Develop an enterprise data control plane to securely access and manage enterprise data for LLM use
• Drive product strategy for safety controls, privacy features, access management, and API usage/cost visibility.
• Build and improve data governance capabilities: retention, encryption, audit logs, permissions, and lifecycle management.
• Lead development of access control models, identity flows (SSO/SAML, SCIM), and admin tooling.
• Oversee usage metering, cost dashboards, alerts, budgeting tools, and predictable API cost experiences.

Product Manager, API Infrastructure

Account Executive

• Manage a portfolio of startups accounts, developing and executing strategies for a comprehensive account plan
• Partner with solutions architects to drive successful technical engagements with startups, accelerating their product development process
• Own a consumption revenue target
• Manage consumption revenue forecasts
• Analyze key account metrics to create reports and provide insights to internal and external stakeholders
• Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering
• Serve as an advocate for improving the startup experience building with OpenAI, synthesizing product feedback from insights captured from our work with startups
• Closely monitor the industry landscape and startup landscape and contribute to corporate strategies
• Support the recruitment and onboarding of other teammates
• Support the development of company culture

Account Director, Startups

Full-stack Engineer

• Build and ship product experiences across the full stack for OpenAI’s education offerings
• Own projects end-to-end, from ideation and technical design through implementation, launch, and iteration
• Work closely with learning scientists and researchers to translate learning goals and evidence into product decisions
• Collaborate with design, data, and cross-functional partners to build thoughtful, high-quality user experiences
• Help define the engineering foundation for a growing education pod, including patterns, systems, and technical direction
• Contribute to products that may inform both consumer and B2B education experiences over time

Full Stack Software Engineer

Program Manager

• Lead global compliance for hardware launches, ensuring products meet regulatory and consumer law obligations across all launch jurisdictions.
• Monitor and manage global regulatory requirements for hardware, including tracking regulatory developments and updating compliance plans accordingly.
• Own requirements tracking for physical product compliance, including packaging inserts, labeling, and consumer disclosures across markets.
• Drive launch readiness for warranties and consumer terms, partnering closely with Product Marketing and Legal.
• Identify risks and drive cross-functional resolution strategies in collaboration with subject-matter experts.

Senior Legal Program Manager – Hardware Compliance

Robotics

• Own DAQ Program Delivery: Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.
• Drive Cross-Functional Integration: Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.
• Operationalize Data Collection Systems: Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.
• System Readiness & Deployment: Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.
• Program Execution & Risk Management: Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.
• Capacity & Throughput Planning: Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.
• Quality & Data Integrity Oversight: Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.
• Continuous Improvement: Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.

Technical Program Manager, Robotics Data Acquisition

Technical Program Manager

• Lead EHS programs supporting hardware engineering, research and development, and technical operations environments across multiple sites, with emphasis on industrial hygiene and product and equipment safety risks.
• Conduct exposure and hazard assessments across chemical, physical, and operational risks and implement effective controls aligned with the hierarchy of controls.
• Develop, maintain, and scale SOPs and safety standards for technical workflows, equipment use, materials handling, and high-risk operations.
• Partner with engineering and technical teams to embed safety-by-design principles into equipment, workspaces, and evolving technical processes.
• Provide EHS advisory support on product and equipment safety, helping identify hazards during development, testing, and deployment phases.
• Strengthen compliance frameworks across OSHA/Cal-OSHA, NFPA, ANSI, and related safety standards, ensuring programs align with regulatory expectations.
• Support regulatory readiness across sites, including preparing teams for inspections, coordinating responses to agency inquiries, and partnering with regulators when necessary.
• Own or co-own programs such as hazard communication, chemical management, ventilation and engineering controls effectiveness, equipment safety, and contractor safety.
• Lead incident and near-miss investigations, develop corrective and preventive actions, and analyze trends to drive continuous improvement.
• Deliver targeted training, support onboarding and work authorization or permitting processes, and reinforce a strong on-the-floor safety culture.

Environmental Health and Safety – Engineering & Technical Program Manager

Artificial Intelligence

• Review leads, investigate model behavior, and identify cases where systems demonstrate agentic or autonomous patterns that introduce safety risks
• Detect and analyze behaviors such as multi-step planning, capability chaining, tool use, persistence, and workaround behavior
• Develop signals and tracking strategies to help proactively identify emerging agentic risk patterns across our platform
• Identify gaps in existing safeguards, evaluations, or monitoring systems and propose improvements
• Communicate investigation findings clearly to technical, policy, and leadership stakeholders
• Be someone people enjoy working with and appreciate the opportunity to help others

Abuse Investigator – AI Self-Improvement Risk

Procurement

• Lead sourcing strategy across a broad services portfolio that supports teams across OpenAI.
• Partner across every business unit to shape sourcing strategies for professional services, ensuring teams can access the capabilities they need with the right balance of speed, value, and governance.
• Serve as a trusted advisor to senior and executive leadership on services strategy, supplier ecosystems, commercial tradeoffs, and risk.
• Define category strategies, supplier segmentation approaches, negotiation playbooks, and commercial frameworks that improve speed, consistency, and leverage.
• Engage early on high-impact services decisions to shape supplier selection, deal structures, and commercial outcomes in the areas that matter most to OpenAI’s speed, resilience, and stewardship.
• Guide high-stakes sourcing decisions across a diverse set of services categories, including areas such as Real Estate and Workplace services.
• Build supplier strategies that drive value beyond cost, including speed, service quality, resilience, flexibility, and access to critical capabilities.
• Leverage market insight and supplier intelligence to inform strategy, strengthen negotiations, and improve business outcomes.
• Independently prioritize and lead multiple highly complex workstreams across a fast-evolving services landscape.
• Build scalable sourcing models, governance mechanisms, and automation-enabled ways of working that improve decision quality and increase leverage across the team.
• Establish supplier KPIs, scorecards, and business review mechanisms across critical service providers.
• Build visibility into pipeline, cycle times, supplier performance, commercial outcomes, and category risks so leaders can make faster, better-informed decisions and drive stronger execution across the portfolio.
• Be accountable for team performance, operating outcomes, talent development, and management excellence across a high-performing team of experienced sourcing professionals.
• Set direction, establish priorities, and strengthen the capabilities, leadership, and organizational capacity needed to scale services sourcing over time.

Head of Strategic Sourcing – Services

Financial Planning and Analysis

• Lead financial risk and controls support for hardware and supply chain processes, with a focus on building scalable foundations in a rapidly developing environment.
• Assess risks across inventory, supplier onboarding and changes, procurement flows, manufacturing operations, commitments, cost tracking, and other hardware-related workflows.
• Identify where the control environment is weakest or most exposed, and prioritize the highest-risk areas for remediation or design support.
• Partner with operational, business, and technical teams to design controls that are effective in practice and integrated into day-to-day workflows.
• Translate risks into clear operational requirements, including ownership models, approval points, monitoring expectations, reconciliations, and evidence needs.
• Drive cross-functional remediation efforts where processes are unclear, fragmented, or overly manual.
• Help teams balance speed and control by implementing fit-for-purpose guardrails that support execution rather than unnecessarily slowing it down.
• Support process and systems changes by ensuring financial risk, control, and governance considerations are addressed upfront.
• Contribute to broader ICFR / SOX readiness efforts by strengthening control design and documentation across operational processes that have financial reporting or safeguarding implications.

Performance Modeling Engineer

Violence Risk & Legal Response Lead

3P Architect

Data Center Controls Network Engineer

Workload Porting, Performance Engineer

Product Manager, API Infrastructure

Account Director, Startups

Account Director, Startups

Full Stack Software Engineer

Senior Legal Program Manager – Hardware Compliance

Technical Program Manager, Robotics Data Acquisition

Environmental Health and Safety – Engineering & Technical Program Manager

Abuse Investigator – AI Self-Improvement Risk

Head of Strategic Sourcing – Services

Senior Manager, Financial Risk Management – Hardware, Supply Chain