OpenAI

Product Marketing

• Develop frameworks and strategies that guide commercial pricing decisions.
• Design commercial constructs—including commitments, incentives, and risk-sharing approaches—that address customer needs while supporting healthy unit economics and long-term growth.
• Build and evolve discounting frameworks, guardrails, and approval principles that improve pricing execution, consistency, and speed across segments and deal types.
• Partner closely with Sales, GTM Strategy, Finance, Legal, and Product to develop executable proposals and resolve complex commercial questions.

Pricing Strategist – Go to Market Pricing

Solutions Engineer

• Own relationships with a portfolio of advertising partners, serving as their primary point of contact.
• Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products.
• Analyze campaign performance and provide clear, actionable recommendations to improve outcomes.
• Identify opportunities to expand partnerships through increased product adoption and incremental investment.
• Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value.
• Surface advertiser feedback and insights to inform product improvements and long-term strategy.
• Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem.

Customer Success Manager – Ads Solutions

General

• Forge and manage strategic partnerships with key national security and cyber mission users to identify and deliver on the most impactful AI and AGI use cases.
• Serve as the accountable lead for delivering high-impact national security and cyber-focused engagements tied to defined contractual milestones.
• Act as a key translator between technical teams and business stakeholders, clearly articulating technical progress, risks, requirements, and dependencies in language accessible to both senior executives and technical practitioners.
• Work with government, defense, industry partners, and academia to identify key concepts for national security AI use including cyber defense, threat intelligence, security operations, incident response, and vulnerability management workflows and then translate them into actionable delivery plans that align technical feasibility with national security impact.
• Partner deeply with technical teams (FDEs, SAs, Research) to frame complex business and technical problems into actionable, scoped projects, serving as a strategic sounding board and thought leader to guide technical direction, anticipate blockers, and align teams proactively.
• Establish best practices around milestone tracking, internal coordination, and delivery operations at scale.
• Build internal consensus across teams with competing priorities, secure commitments from stakeholders you do not manage, and drive complex projects to completion with limited dedicated resources.
• Lead regular progress reviews with national security and cyber stakeholders, ensuring transparency and confidence in delivery.
• Identify delivery risks early and work cross-functionally to mitigate blockers and maintain program velocity.
• Navigate ambiguity and evolving requirements with composure, helping internal and external teams stay aligned.
• Help shape the future of how OpenAI engages with national security and cyber customers through milestone-based delivery programs.

Strategic Delivery Lead, Cyber

Procurement

• Lead cross-functional procurement operations programs that support business priorities and functional strategy.
• Own end-to-end execution of complex procurement operations initiatives across intake, request review, request updates, PO creation, PO maintenance, supplier coordination, approvals, documentation, and downstream handoffs.
• Review requests in procurement systems, make or guide request and PO updates, resolve operational issues, and use those patterns to improve how the lifecycle works.
• Design scalable processes, metrics, operating cadences, control checkpoints, and AI-enabled workflows that reduce friction while improving compliance, accountability, and operating effectiveness.
• Identify recurring operational issues, separate symptoms from root causes, and build systems, playbooks, or process improvements that prevent repeat problems.
• Partner with business stakeholders to clarify requirements, resolve blockers, and keep procurement activity moving with the right level of control.
• Balance urgent business needs with policy requirements, approval controls, auditability, financial accuracy, and responsible risk management.
• Improve service delivery and operating leverage in measurable ways, including cycle time, PO quality, exception rates, documentation completeness, invoice readiness, commitment visibility, and close readiness.
• Work closely with Procurement, Finance, Legal, Security, Accounting, AP, and Systems teams to improve handoffs, governance, reporting, and stakeholder experience.
• Build practical documentation, SOPs, playbooks, dashboards, templates, self-service guidance, and intake logic that make procurement easier to navigate.
• Influence stakeholders without formal authority, driving alignment through clear communication, sound judgment, and strong relationships.
• Mentor peers and junior teammates by raising execution quality, sharing context, and modeling thoughtful decision-making in ambiguous situations.

Senior Manager, Procurement Operations

Compliance

• Handle and resolve complex user issues involving:
• Trust & Safety incidents
• Regulatory, audit, or compliance inquiries and complaints
• Intellectual property matters (e.g., copyright takedowns, ownership disputes)
• AI governance and regulatory frameworks (e.g., EU AI Act, DSA/OSA).
• Perform risk evaluations and investigations using internal tools, documentation, and third-party data.
• Act as incident manager for highly sensitive reviews requiring nuanced interpretation of legal and regulatory standards.
• Interface directly with Legal, Privacy, Product, and Support teams to coordinate escalations and resolution paths.
• Partner with Legal, Privacy, Policy, and Ops to implement world-class operational workflows for compliance and risk.
• Build and maintain tooling, escalation decision trees, playbooks, and knowledge articles.
• Contribute to vendor training and governance models, especially during transitions and ramp-up phases.
• Lead or participate in cross-functional initiatives that strengthen our regulatory, fraud, and legal infrastructure.
• Monitor operational health via case quality audits, SLA tracking, escalation accuracy, and data.

Regulatory Operations Analyst

• Own OpenAI’s global indirect tax compliance operating model and end-to-end compliance lifecycle across VAT, GST, DST, and related regimes, ensuring timely, accurate, and controlled compliance across an expanding portfolio of jurisdictions
• Lead registration lifecycle management, including threshold monitoring, obligation assessments, new registrations, amendments, and deregistrations, with clear governance over OpenAI’s global registration footprint
• Oversee ongoing compliance activities, including data collection and validation, return preparation and review, tax payments, reconciliations, statutory reporting, and documented approvals, with clear accountability across internal teams and external providers
• Identify opportunities to enhance compliance processes and technology, building the business case for initiatives that improve efficiency, strengthen controls, reduce risk, and support future growth
• Assess compliance readiness by proactively identifying gaps in processes, controls, data, systems, and resourcing, and driving remediation efforts to support scalable growth and new market launches
• Select, onboard, and oversee external compliance providers and advisors, establishing clear expectations, monitoring service quality and performance, and escalating risks and issues early
• Serve as the primary point of contact for indirect tax audits, examinations, and tax authority inquiries, coordinating cross-functional responses and driving matters through resolution
• Strengthen the global control environment by designing and enhancing review procedures, governance frameworks, reconciliations, and monitoring activities that support continuous audit readiness
• Partner with Finance leadership and cross-functional stakeholders to communicate emerging compliance risks, regulatory developments, and recommendations, translating complex tax requirements into practical business actions

Senior Manager, International Tax

Sales

• Build strong connections within the immediate team and across other departments, becoming a trusted partner to leaders. This includes an understanding of team dynamics, priorities, and stakeholders, facilitating seamless coordination on high-stakes projects
• Excel in sharing information clearly and efficiently, adapting communication styles for a broad range of audiences
• Manage a highly dynamic executive calendar, making thoughtful trade-offs across internal priorities, customer and agency engagements, travel, and high-visibility industry moments.
• Coordinate closely across Product, Engineering, Marketing, Legal, Policy, and GTM partners to keep high-stakes workstreams, meetings, and follow-through moving smoothly.
• Operate with discretion and independence, proactively optimizing processes and flagging risks, while ensuring sensitive information is handled with care

Executive Business Partner, B2B Ads Sales

• Serve as the primary technical subject matter expert post-sale for a portfolio of customers, embedding deeply with them to design and deploy GenAI solutions.
• Engage with senior business and technical stakeholders to identify, prioritize, and validate the highest-value GenAI applications in their roadmap.
• Accelerate customer time to value by providing architectural guidance, building hands-on prototypes, and advising on best practices for scaling solutions in production.
• Maintain strong relationships with leadership and technical teams to drive adoption, expansion, and successful outcomes.
• Contribute to open-source resources and enterprise-facing technical documentation to scale best practices across customers.
• Share learnings and collaborate with internal teams to inform product development and improve customer outcomes.
• Codify knowledge and operationalize technical success practices to help the Solutions Architecture team scale impact across industries and customer types.

Solutions Architect, Digital Natives

Investigator

• Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets
• Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.
• Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.
• Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.
• Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries
• Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership
• Be someone people enjoy working with
• Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

Technical Abuse Investigator

Researcher

• Design and run experiments that improve model behavior in API and power-user workflows: function calling, tool use, coding, planning, long-horizon execution, factuality, instruction following, error recovery, and calibrated reasoning.
• Build evals, graders, and environments from real developer and power-user workflows, then turn observed failures into training data, model-behavior hypotheses, and shipped improvements.
• Partner with API and power-users to identify high-leverage behavior gaps and convert product signals into post-training interventions.
• Improve how models behave when composed into systems: using tools reliably, respecting developer intent, handling partial failures, asking for clarification when appropriate, and maintaining coherence across multi-step tasks.
• Own end-to-end model behavior projects, from qualitative failure analysis through data generation, training experiments, eval design, integration into major runs, and launch readiness.
• Develop feedback loops that use power-user traces, API usage patterns, and production-like environments to discover the next frontier of agentic model failures and gaps.
• Help decide which agentic capabilities, behavioral fixes, and partner-team integrations are ready for inclusion in major model runs.
• Debug hard failures in shipped or near-shipped models by moving between traces, evals, training data, model outputs, and product context.
• Work on early-training and alignment interventions, including data mixtures, objectives, synthetic data, and eval loops that shape downstream agent behavior.
• Improve the machinery for large-scale training and launch: experiment velocity, reliability, observability, reproducibility, cost, latency, and production readiness.
• Take on cross-functional projects that touch model training, product infrastructure, and the production agent harness, such as multi-agent systems or training directly against production-like environments.

Researcher, Agent Post-Training, API & Power-Users

• Investigate reports, leads, and escalations involving violent threats, coordinated abuse, and other threats to public safety.
• Use SQL and Codex to query large datasets, analyze user behavior, identify suspicious activity, and uncover novel abuse patterns.
• Utilize Python and Codex to automate investigative workflows, process and analyze data, develop abuse detection methodologies, and improve operational efficiency.
• Develop and refine abuse signals, behavioral indicators, and tracking methodologies that enable scalable detection and enforcement.
• Partner closely with engineering teams to design and improve internal tooling, data pipelines, reporting capabilities, and investigations. Use metrics to evaluate automated workflow efficiency.
• Conduct rapid triage and investigation of urgent escalations, exercising sound judgment in ambiguous situations.
• Communicate investigative findings and recommendations to stakeholders across Policy, Legal, Product, Engineering, and Leadership teams.
• Translate investigative insights into long-term product, policy, and safety improvements.
• Contribute to an on-call rotation supporting time-sensitive investigations and threat assessments.

Abuse Investigator

Product Manager

• Own the product strategy, roadmap, and execution for ChatGPT Sites.
• Partner closely with engineering, research, design, safety, security, data, go-to-market, and customer-facing teams to build robust product experiences.
• Define product requirements for a full-stack product surface, including user experience, backend capabilities, identity, storage, reliability, permissions, and enterprise readiness.
• Work with engineering to reason through technical tradeoffs across architecture, scalability, performance, reliability, and user experience.
• Build for a wide range of users, from consumers creating their first software-powered experience to enterprises adopting AI-assisted development workflows.
• Develop product capabilities that help users create, modify, deploy, and manage software more effectively with AI.
• Translate ambiguous technical possibilities into clear product direction, milestones, and success metrics.
• Represent user needs across developer experience, enterprise administration, safety, security, and usability.
• Help establish the quality, trust, and operational standards needed for AI-assisted software creation at scale.

Product Manager – ChatGPT Sites

Designer

• Collaborate closely with researchers to understand, predict, and design model behavior.
• Partner with product managers and designers across the company to ensure a cohesive voice and approach.
• Proactively identify ways to improve our models based on product sense, user feedback, quantitative insights, and the research roadmap.
• Come up with creative strategies for collecting high-quality data.
• Do whatever needs to be done to make our models better.

Model Designer

Risk

• Build the end-to-end safety and risk operating model for new consumer hardware, from early requirements through launch and early-life operations.
• Define incident taxonomies, severity levels, decision rights, escalation criteria, response pathways, and closure standards.
• Develop operational playbooks for product-safety incidents, critical escalations, safety advisories, corrective actions, and other high-risk events.
• Design workflows for regulated and privacy-sensitive cases, including restricted handling, evidence requirements, auditability, and partner escalation.
• Translate safety and operational needs into requirements for tooling, case management, data access, monitoring, logging, and automation.
• Establish clear ownership boundaries across Product, Engineering, Legal, Privacy, Product Policy, Support, Product Quality, and other operational partners.
• Build launch-readiness plans, tabletop exercises, training, quality controls, reporting, and post-launch monitoring.
• Use operational data, customer signals, product telemetry, and case outcomes to identify patterns and improve upstream products and systems.
• Determine where AI and automation can improve triage, evidence assembly, consistency, and response while preserving appropriate human judgment.
• Stand up priority workflows, operate them through launch and early-life stabilization, and transition them into durable homes across USRO and partner teams.

Device Safety & Risk Operations Specialist

Platform Engineer

• Build web applications, APIs, data models, and backend services for AI research workflows.
• Build tools to author and manage evaluation tasks, rubrics, graders, suites, and rollout configurations, including workflows for publishing, versioning, auditing, and sharing research artifacts.
• Automate evaluation runs and generate useful reports for design, research, and engineering teams.
• Support synthetic data generation workflows for multimodal and conversational research, including tools that combine transcripts, media, and model comparisons.
• Translate product and research questions into measurable scenarios, automated graders, and human-evaluation campaigns, and develop measures of task quality, coverage, diversity, and semantic spread.
• Diagnose issues across application code, workers, model endpoints, deployments, and compute infrastructure, and improve reliability through health checks, observability, reproducible launch paths, data integrity safeguards, and automated verification.
• Lead migrations and dependent changes across research tools, evaluation systems, and supporting services.
• Partner closely with designers, model researchers, research engineers, and infrastructure teams, and onboard contributors to create high-quality evaluation and synthetic-data workflows.