OpenAI

Data Scientist

• Lead supplier administration activities while maturing the operating model for supplier data governance, quality, and controls.
• Maintain accurate, complete, and audit-ready supplier master data across procurement and finance systems.
• Oversee supplier onboarding, supplier record updates, tax documentation, banking changes, and related supplier lifecycle activities.
• Strengthen controls around duplicate prevention, banking validation, payment readiness, sensitive supplier information, and data integrity.
• Partner with Accounts Payable and Procurement Operations to resolve supplier setup issues that impact purchase orders, invoices, payments, close, and reporting.
• Define and improve supplier data standards that support AI-enabled procurement workflows, automation, dashboards, risk reviews, operational reporting, and decision support.
• Use AI tools to improve how supplier data is reviewed, enriched, monitored, documented, and acted on.
• Identify recurring data quality issues, process gaps, and manual workarounds, then translate them into better workflows, standards, and automation opportunities.
• Support supplier data cleanup, rationalization, and standardization efforts across systems and workflows.
• Build clear documentation, process guidance, and operating routines that make supplier administration easier, more consistent, and more transparent.
• Collaborate cross-functionally to improve the supplier and stakeholder experience while maintaining appropriate controls.
• Balance speed, accuracy, risk, and business enablement in a fast-moving environment.

Supplier Master Data Lead, P2P Systems, Controls & Automation

Account Manager

• Define and lead OpenAI’s global partner enablement strategy
• Build and scale the partner enablement function, including team, operating model, and systems
• Design and operationalize repeatable programs across onboarding, activation, product launches, and GTM motions
• Drive global rollout of enablement initiatives, ensuring adaptability across regions and partner segments
• Develop partner readiness programs, including training, certifications, and learning pathways across sales, technical, and delivery roles
• Create high-quality enablement content such as playbooks, solution guides, and messaging frameworks
• Enable partners to identify, qualify, and close AI opportunities aligned with OpenAI’s GTM priorities
• Partner cross-functionally to align priorities, messaging, and execution across all partner-facing initiatives
• Establish metrics and dashboards to track partner activation, pipeline contribution, and program effectiveness
• Build feedback loops to capture partner insights and continuously improve enablement and GTM strategy

GTM Partnerships Enablement Lead

Manager

• Provide cyber policy advice to technical and product teams based on a deep understanding of model capabilities, product architecture, abuse pathways, defensive security use cases, and the practical needs of cybersecurity teams.
• Evaluate cyber-relevant product launches and model capabilities, including how they may support legitimate security work and how they could be misused by malicious or irresponsible actors.
• Translate cyber threat risk into clear product requirements, launch guidance, enforcement standards, user-facing policy, and internal implementation guidance.
• Develop operationalizable standards, enforcement protocols, and escalation paths for cyber abuse scenarios, including vulnerability exploitation, credential abuse, social engineering, malware enablement, phishing, data exfiltration, and misuse of security automation.
• Partner with safety, security, product, engineering, research, legal, operations, communications, and global affairs teams to make principled, timely decisions about cyber risk in high-ambiguity situations.
• Help build scalable policy frameworks for dual-use cyber capabilities, including where to draw boundaries between beneficial security research, defensive operations, and harmful cyber activity.

Product Policy, Cyber Policy Manager

Product Manager

• Set the product strategy for Family experiences across OpenAI products.
• Identify user needs and turn them into high-impact product opportunities, owning products end-to-end, from concept through launch and iteration.
• Build experiences that balance usefulness, simplicity, trust, safety, and accessibility.
• Define success metrics and use data and research to guide roadmap decisions.
• Partner cross-functionally to execute quickly and effectively.

Product Manager, Families

Financial Planning and Analysis

• Shape financial strategy for major long-term investments, capital structure decisions, and broader strategic decision-making.
• Build rigorous financial models and scalable frameworks to evaluate strategic initiatives, funding options, tradeoffs, and risk.
• Structure and help execute complex strategic initiatives in partnership with cross-functional teams.
• Translate ambiguous technical and business inputs into clear recommendations and decision-ready materials for executives, the board, and other senior stakeholders.
• Lead high-priority cross-functional workstreams from concept through execution, bringing strong judgment, ownership, and communication in fast-moving situations.
• Help build an AI-native finance organization by applying AI to improve workflows, decision-making, and execution across finance processes.

Strategic Finance Lead – Corporate Finance, Capital Strategy

Compliance

• Lead and continuously advance OpenAI’s extended workforce program, including operating models, governance structures, and escalation frameworks.
• Develop and maintain country-specific compliance guidance for OpenAI’s extended workforce in support of OpenAI’s global operations across regions and jurisdictions.
• Serve as the primary point of ownership for extended workforce compliance across regions, worker types, and engagement models.
• Partner closely with the Head of Extended Workforce to ensure compliance approaches remain supportive of business needs and risk tolerance.
• Design and maintain compliance standards, controls, and operating guidance for OpenAI’s extended workforce that support speed, scale, and operational efficiency.
• Ensure such compliance frameworks are practical, usable, and aligned to how teams actually operate.
• Continuously assess opportunities to reduce friction while maintaining strong safeguards.
• Coordinate and facilitate extended workforce immigration, visa, and right-to-work compliance in partnership with suppliers, Legal, and People Compliance, ensuring required processes, approvals, and supplier-managed documentation flows are executed correctly.
• Embed compliance requirements into day-to-day workflows for OpenAI’s extended workforce, including VMS processes, onboarding and offboarding, approvals, and worker lifecycle management.
• Serve as the point of escalation for complex or sensitive extended workforce compliance matters as needed.
• Drive issues to resolution through close coordination with Legal, People Compliance, People Team, Security, Finance, and business stakeholders.
• Lead compliance oversight of extended workforce suppliers, including staffing agencies and payroll/EOR partners.
• Conduct supplier compliance assessments and periodic reviews and manage follow-up actions as needed.
• Coordinate workforce-related reporting and compliance activities as required by applicable law.
• Support workforce performance and sensitive workplace issues in partnership with suppliers and cross-functional teams.
• Ensure consistent and compliant handling of issues across regions and extended worker populations.
• Establish clear intake, triage, documentation, and resolution processes for compliance-related concerns.
• Partner closely with Legal on extended workforce contracts, compliance documentation, and risk frameworks.
• Translate legal and compliance requirements into clear, actionable guidance for business owners and suppliers.
• Identify, assess, and communicate compliance risks relative to the extended workforce and trends in a clear, executive-ready manner.

Senior Global Extended Workforce Compliance Lead

• Develop a strategy and roadmap to efficiently scale the billing operations and customer experience behind OpenAI’s growing product portfolio
• Identify and execute opportunities to improve the order-to-cash processing for OpenAI’s largest and most strategic customers
• Build AI powered tooling for key partner teams such as Finance and User Operations to drive better decisions and business outcomes
• Collaborate with other product teams to defining OpenAI’s evolving monetization strategies and the capabilities we need in our core billing infrastructure
• Use data to better understand internal and external user needs and guide future product development
• Collaborate with a wide range of stakeholders, including teams in product, finance, operations and engineering.

Product Manager, Financial Engineering

Threat Intelligence Specialist

• Design and maintain analytical tools, evaluation methodologies, and quality metrics for intelligence workflows.
• Provide structure and technical rigor to analyst-built prototypes, redesigning workflows to be generalizable across use cases.
• Transform recurring needs into reusable templates, notebooks, graders, and lightweight tools.
• Surface novel harms and abuse patterns across a range of ecosystems and behaviors.
• Build rapid analysis workflows around emerging risks.
• Deliver, monitor, and maintain risk tools and dashboards.
• Use SQL, Python, and AI-powered tools to improve analysis speed, coverage, and consistency.

Technical Intelligence Analyst

Solutions Engineer

• Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure.
• Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals.
• Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
• Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting.
• Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance.
• Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions.
• Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities.
• Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally.
• Help train internal sales and success teams on technical capabilities, integrations, and evolving product features.

Solutions Engineer, Ads Solutions

• Define the Service analytics strategy, including core metrics, reporting logic, and decision frameworks across customer experience, operational performance, warranty, and cost.
• Create a unified analytics model across Support, Warranty, Returns, Reverse Logistics, Product Quality, Commerce, and Finance.
• Partner with Data Engineering and systems teams to build the data models, pipelines, joins, and semantic layers required to support hardware service analytics.
• Build reporting capabilities for returns and warranty, including replacement, repair, RMA, depot, reverse-logistics, and finance-reconciliation flows.
• Establish source-of-truth data across accounts, devices, orders, claims, logistics events, diagnostics, and support interactions.
• Lead forecasting for total warranty return rate, warranty cost, and related operational demand using quality signals, telemetry, claims history, install base, policy assumptions, and launch cohorts.
• Define and measure service unit economics, including cost per shipped unit, cost per active unit, cost per contact, cost per claim, and cost per resolved case.
• Build scenario models that inform replacement planning, repair demand, return exposure, inventory needs, staffing, and broader service investment decisions.
• Lead deep-dive analyses on cost of quality, claim drivers, repair vs. replacement tradeoffs, churn and loyalty drivers, and opportunities for differentiated care programs.
• Identify root causes of returns, replacements, repairs, and negative service outcomes by connecting support, product-quality, telemetry, and logistics data.
• Partner with the broader hardware operations team on analytics related to supply and demand planning, parts availability, replacement inventory risk, and launch readiness.
• Work cross-functionally with Product, Engineering, Product Quality, Reverse Logistics, Commerce, Finance, and Support Operations to turn data into clear recommendations and decisions.
• Build executive dashboards and operating-review materials that make service performance, risk, and opportunity easy to understand.
• Shape the roadmap for analytics investments across systems, reporting, forecasting, and insight generation.
• Over time, hire and lead a small, high-impact analytics team as the hardware service organization scales.

Service BI/Analytics Lead

Operations

• Serve as the primary Marketing point of contact for vendor management and production operations needs across external partners.
• Partner with Marketing leadership and working teams to define agency and vendor engagement models, scopes, KPIs, and ways of working.
• Build foundational Business Affairs frameworks for global marketing activations, including guidance around talent usage rights, localization, channel usage, content edits/slicing, and region-specific production considerations across global campaigns.
• Work with Procurement and Commercial Legal to execute vendor agreements and develop Marketing-specific workflows and templates that help teams move quickly while staying compliant.
• Advise teams on production-related vendor needs, including agency models, production company engagement, usage considerations, and operational risk.
• Help teams define what success looks like for each vendor relationship and ensure partners are delivering against agreed expectations.
• Bring financial and operational discipline to investments through actionable data so marketing leaders can double down on what drives the most growth without slowing teams down.
• Maintain visibility into vendor status, contract terms, spend, renewals, key obligations, and open issues.
• Create documentation, training, and communications that help Marketing teams navigate vendor processes and internal systems.
• Support compliance with OpenAI standards, including privacy, data security, AI tool usage, procurement, finance, and contracting requirements.
• Identify opportunities to use AI and automation to improve workflows, scale operations, and reduce friction.
• Develop repeatable frameworks and templates for agency engagement, production intake, media authorization workflows, and global campaign execution to reduce operational friction and improve speed-to-launch for global teams.

Marketing Ops Lead

Account Executive

• Manage a focused portfolio of hedge fund and alternative asset management accounts, developing long-term strategic account plans.
• Lead complex, multi-stakeholder sales cycles across executive, investment, technology, data, AI, research, legal, security, and compliance teams.
• Build trusted relationships with highly technical buyers and internal platform teams who evaluate, integrate, and govern AI across the firm.
• Partner with Solutions, Product, Engineering, and Research to design pilots and scaled deployments with measurable business impact.
• Help customers identify high-value AI use cases across investment research, data analysis, document intelligence, coding, market monitoring, workflow automation, and internal AI platform development.
• Navigate regulated, security-sensitive environments with strong judgment around privacy, compliance, information barriers, and responsible AI deployment.
• Own revenue, consumption, pipeline, and forecast performance for your book of business.
• Track market structure, technology trends, and AI adoption patterns across hedge funds, multi-manager platforms, systematic investors, and adjacent buy-side firms.
• Partner cross-functionally with marketing, partnerships, product, and communications to build OpenAI’s hedge fund go-to-market motion.

Account Director, Quantitative Trading

Risk

• Lead end-to-end TPRM execution across APAC, ensuring consistent and scalable risk assessment, onboarding, and monitoring of third parties.
• Support audits, regulatory requirements, and internal policy adherence across third-party relationships.
• Support supplier compliance initiatives aligned to leading industry standards (e.g., Responsible Business Alliance / RBA expectations), including labor, ethics, and management systems.
• Partner closely with Procurement, Legal/Compliance, Security, Privacy, and business teams to embed risk controls into supplier onboarding, contracting, and ongoing monitoring.
• Build and oversee supplier risk frameworks tailored to electronics and device manufacturing environments.
• Drive supplier due diligence, including operational, regulatory, and compliance risk assessments.
• Establish and track key risk indicators (KRIs), reporting, and governance mechanisms for regional leadership.
• Identify and mitigate risks across critical suppliers, including geopolitical, operational, and compliance risks.
• Continuously improve TPRM processes, tools, and controls to support scale and efficiency.
• Support incident response for supplier-related issues (e.g., compliance findings, operational disruptions), ensuring fast and effective resolution.

Third Party Risk Manager

Software Engineer

• Conduct deep, end-to-end investigations into sophisticated threat actors interacting with OpenAI’s models, products, and broader ecosystem.
• Think like an adversary — model attacker behavior, anticipate misuse patterns, and proactively hunt for, identify, and disrupt malicious activity.
• Leverage internal telemetry, OSINT, vendor data, and in-house safety systems to produce high-confidence findings on adversarial use of our models in cyber operations, platform abuse, and threats targeting OpenAI.
• Translate investigative findings into concrete improvements across detection, enforcement, intel, and safety pipelines.
• Build tooling, scripts, automations, and agentic workflows that scale investigative throughput and reduce manual effort.
• Prototype solutions in ambiguous and emerging problem spaces, including new product surfaces, novel attacker behaviors, and areas where existing coverage may be limited.
• Partner closely with teams across Security, Safety Systems, Product Policy, and Integrity to operationalize findings and drive meaningful outcomes.
• Produce clear, high-signal written outputs and recommendations that inform decision-making across technical and executive stakeholders.

Technical Threat Investigator, Threat Intel Engineering

• Act as the product lead inside strategic customer accounts, helping customers adopt and expand their use of OpenAI products.
• Identify opportunities for deeper deployment, new integrations, and broader product usage across teams and workflows.
• Build trusted relationships with technical stakeholders, engineering leaders, and executives, including representing product vision to C-level audiences.
• Partner closely with Deployment Engineers and GTM teams to drive successful implementations and long-term account growth.
• Translate customer needs and technical blockers into clear product feedback and execution paths for internal teams.
• Work hands-on with integrations, MCPs, tooling, and lightweight technical workflows when needed to unblock an account.
• Own lightweight PM work needed to support enterprise deployment, then hand off the right insights and opportunities to core product teams.