OpenAI’s Pricing team sits at the center of product, go-to-market, finance, and strategy. We define how OpenAI packages, prices, and scales access to our products across consumer, SMB, and enterprise customers, turning deeply technical product usage and market signal into company-level decisions.
We’re looking for a senior Data Scientist to be the first dedicated data science hire on the Pricing team. This is a rare zero-to-one role with direct exposure to OpenAI’s CFO, Head of Pricing, and senior leaders across Product and GTM. You will help build the analytical foundation for pricing at OpenAI, shape executive decisions, and define what excellent pricing data science looks like.
About the Role
As a founding Data Scientist for Pricing, you will design the analyses, models, experiments, and decision frameworks that guide pricing strategy across OpenAI’s business. You’ll work side-by-side with the CFO, Head of Pricing, and senior leaders across Product and GTM on ambiguous, high-leverage questions where simple reporting is not enough, translating customer behavior, product usage, revenue outcomes, and market dynamics into clear recommendations.
This role combines hands-on technical depth with executive-ready storytelling. You should be excited to build from first principles, operate with high independence, and influence decisions that shape how OpenAI grows and serves customers around the world.
In This Role, You Will
Serve as a senior analytical partner to the CFO, Head of Pricing, Product, and GTM leaders on pricing and monetization decisions.
Build the analytical foundation for pricing across consumer, SMB, and enterprise segments, from exploratory analysis to repeatable decision systems.
Design and execute analyses that connect customer behavior, product usage, conversion, retention, revenue outcomes, and pricing strategy.
Develop models, algorithms, experiments, and decision frameworks for complex pricing, packaging, discounting, and willingness-to-pay questions.
Translate technical work into crisp executive recommendations and practical operating guidance for cross-functional teams.
Identify where a dedicated pricing data science function can create repeatable leverage, helping define the roadmap, standards, and future operating model for the team.
You Might Thrive in This Role If You
Have deep experience using casual inference and other statistical techniques to solve pricing, monetization, packaging, or business strategy problems.
Are energized by ambiguous, zero-to-one work with senior leadership visibility and a chance to write the playbook.
Can move fluidly between hands-on analysis, model-building, experimentation, and strategic decision support.
Have built or influenced sophisticated pricing systems in complex, high-scale environments.
Communicate clearly with executive, business, product, and technical leaders, including when the answer is nuanced or uncertain.
Are excited by a founding role where your work can shape company-level strategy and the future of pricing at OpenAI.
Qualifications
Significant experience in data science, analytics, economics, statistics, machine learning, or a related quantitative field.
Strong technical ability in analysis, modeling, experimentation, causal inference, and data-driven decision-making.
Experience working on pricing, monetization, marketplace dynamics, usage-based pricing, dynamic pricing, packaging, or adjacent high-complexity business problems.
Ability to operate independently in ambiguous environments, define analytical direction from scratch, and bring senior stakeholders along through clear tradeoff framing.
Strong written and verbal communication skills, including the ability to influence executive-level audiences and cross-functional operating teams.
Preferred Qualifications
Prior pricing experience across consumer, SMB, enterprise, marketplace, platform, or AI/API businesses.
Experience building novel pricing models, systems, experimentation programs, or decision frameworks.
PhD preferred; a master’s degree or equivalent practical experience can also be a strong fit.
Experience helping establish a new data science function, operating model, technical roadmap, or executive decision cadence.
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 .
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. 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 .
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Listed by OpenAI for a position based in the United States. Employers on this board attest they are hiring domestically.
Quantitative Intelligence Analyst
Location
San Francisco
Employment Type
Full time
Location Type
Hybrid
Department
Intelligence & Investigations
Compensation
$198K – $320K • 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.
Overview
Application
About the Team
The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity.
The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI’s products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI’s tools are deployed securely and responsibly across critical sectors.
About the Role
As a Quantitative Intelligence Analyst, you will focus on discovering novel and emerging risks in complex human–AI systems before they are well-defined, measurable, or widely understood.
You will use deep subject matter expertise and quantitative tooling to surface weak, early, and unconventional risk signals. You will build analytic models that explain how harms could emerge and translate ambiguous patterns into structured, data-driven insight. Your work will help identify potential gaps in policy or coverage and operationalize previously unmeasured problems into signals that can support detection, mitigation, and planning downstream. You will develop analytical frameworks that map how new risks form, evolve, and propagate as products change, policies shift, and external events unfold. Your analyses will directly inform strategic risk prioritization and planning across the company, with regular visibility through strategic risk products.
This role is based in office (hybrid, 3 days/week). Relocation support is available
In this role, you will:
Discover and define new quantitative risk signals where no established metrics exist, using subject matter expertise to surface early, weak, or unconventional indicators
Translate complex trust and safety challenges into measurable signals that can be tracked and stress-tested over time
Develop upstream early-warning and signal frameworks that inform downstream detection and mitigation efforts
Analyze risk trends to assess the underlying drivers and causal factors behind those changes
Conduct data mining and statistical modeling to understand how risks originate, evolve, and propagate across systems
Design adversarial scenarios, and quantitative stress tests to assess exposure, coverage gaps, and vulnerabilities
Produce clear data-driven briefs to support risk prioritization, contingency planning, and strategic risk products across teams
You might thrive in this role if you:
Have 3+ years of experience in quantitative intelligence analysis, trust & safety, security analysis, or risk-focused research
Are comfortable working on complex trust and safety domains such as child safety, violent activities, self-harm, or similar high-stakes risk areas
Familiarity with data mining, statistical modeling, and supervised learning methods
Understand how to monitor signals or models for data drift, behavioral adaptation, or performance degradation over time, and can diagnose likely causes
Experience in operationalizing adversarial or strategic risk behaviors, including through red-team exercises, agent-based modeling, or structured scenario analyses
Comfortable working with Python and SQL
Nice to have: Experience with quantitative stress testing or Monte Carlo simulations to assess uncertainty and tail risk
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.
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. 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.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Listed by OpenAI for a position based in the United States. Employers on this board attest they are hiring domestically.
OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the end-to-end flow of commercial transactions from order intake and provisioning through billing, collections, credit risk, accounts receivable operations, and cash application. The team focuses on accuracy, compliance, operational discipline, and a high-quality customer experience.
About the Role
We are hiring for the Senior Credit & Collections role to support OpenAI's global receivables operations, with a focus on white-glove support for premier and strategic accounts across the U.S. and key regional areas of AR work, including standard operating procedures, payment methods, customer portals, disputes, cash application handoffs, escalations, and emerging go-to-market channels.
In this role, you will manage complex customer accounts, guide priority AR workstreams, support credit reviews, and partner cross-functionally with Sales, Customer Success, Billing Operations, Deal Desk, Legal, Accounting, Cash Application, Finance Systems, and external partners. You will help improve cash collections, reduce aging, support responsible credit decisions, and maintain a strong customer experience across sensitive, high-value, and operationally complex relationships.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In This Role, You Will
Manage a portfolio of premier, strategic, and high-touch customer accounts across the U.S. and key regional AR work areas, ensuring timely collections, clear communication, and a white-glove customer experience.
Support collections coverage across key regional areas of AR work, including payment follow-up, documentation requirements, portal submission workflows, tax or invoicing considerations, dispute coordination, and escalation management.
Support new channel success, including marketplace, partner, reseller, agency, ads, and other non-standard billing or collections motions across priority customer segments.
Perform credit reviews and customer risk assessments within established frameworks, including payment history, exposure, credit limits, terms, and escalation recommendations.
Drive resolution of complex AR and customer finance issues by coordinating the right owners, clarifying blockers, aligning on next steps, and escalating risks that affect collections outcomes or customer experience.
Help run disciplined AR operating cadences across assigned portfolios and queues, including prioritization, ownership, escalation routing, and follow-through to resolution.
Monitor portfolio health and collections performance through AR aging, DSO impact, dispute trends, queue performance, and follow-up effectiveness, turning trends into clear actions.
Improve collections coverage and predictability by surfacing stalled accounts, recurring blockers, AR process gaps, and handoff issues that impact cash collection or customer experience.
Partner with internal teams and external partners to scale consistent collections coverage, improve collections productivity, and drive measurable cash outcomes across assigned portfolios.
Partner with Sales, Customer Success, Deal Desk, Billing Operations, Legal, Accounting, Cash Application, and Finance Systems to unblock customer payment issues and align account strategy.
Track and communicate account status, risk items, next steps, and ownership clearly across internal teams.
Support month-end close, audit requests, reserve inputs, write-off recommendations, and control documentation as needed.
Use data, systems, and AI-enabled workflows to improve account prioritization, follow-up quality, reporting, and operational efficiency.
You Might Thrive In This Role If You Have
6+ years of experience in credit, collections, accounts receivable, customer finance, or broader Order to Cash operations.
Experience managing complex enterprise, strategic, or high-touch customer collections across U.S. and priority AR portfolios in a high-growth or global environment.
Strong understanding of AR aging, DSO, credit risk, portfolio prioritization, collections strategy, payment terms, disputes, cash application, customer account reconciliation, and queue-based operations.
Experience supporting customers across key regional areas of AR work, including payment practices, documentation norms, tax or invoicing complexity, portal workflows, dispute resolution, and customer communication expectations.
Additional business language proficiency is a plus.
Strong judgment in balancing collections urgency, customer experience, financial risk, and commercial priorities.
Experience working with Sales, Customer Success, Legal, Billing, Accounting, Cash Application, Finance Systems, and external collection or BPO partners.
Ability to independently manage defined-scope projects, anticipate blockers, communicate risks, and drive predictable outcomes.
Comfort working with data, dashboards, Salesforce, ERP or billing systems, customer portals, and collection workflow tools.
Interest in using automation and AI tools to improve collections coverage, AR prioritization, customer outreach quality, and reporting.
Clear written and verbal communication skills, especially for executive-sensitive or customer-facing escalations.
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 .
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. 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 .
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Listed by OpenAI for a position based in the United States. Employers on this board attest they are hiring domestically.
Product Manager, Cyber Defense and Blue Team
Location
San Francisco
Employment Type
Full time
Department
Security Products
Compensation
$293K – $385K
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.
Overview
Application
About the Team
OpenAI’s Cyber team works to make frontier AI a decisive advantage for defenders.
The Cyber Blue Team is an operator-led group focused on turning real defensive problems into better models, useful products, safe Codex workflows, and integrations with the security tools defenders already use.
Our ambition is simple:
Raise attacker cost. Lower defender toil. Prove it by defending OpenAI; scale it through the ecosystem.
We are not setting out to build another SIEM or autonomous SOC. We want to build the AI reasoning and workflow layer that helps security teams investigate threats, create and validate detections, improve their controls, and respond with greater speed and confidence.
About the Role
We are looking for a Product Manager to help build a new generation of AI-powered cyber defense products.
You will work closely with security practitioners, researchers, engineers, designers, internal security teams, customers, and technology partners to turn emerging model capabilities into products that solve meaningful defensive problems.
This is an early-stage product role. The work will span product discovery, prototyping, evaluation, development, launch, and iteration. You will help the team identify where AI can create the most value for defenders and translate those opportunities into clear, usable, and trustworthy product experiences.
Initial areas of focus may include:
Detection engineering and detection-content development
Threat hunting and investigation
Security validation and control testing
AI-agent and MCP runtime defense
Integrations with security platforms and enterprise workflows
Safe, governed assistance for incident response
The specific roadmap will continue to evolve based on model progress, practitioner needs, internal learnings, and customer feedback.
In This Role, You Will
Work with security practitioners to understand high-value defensive workflows, recurring pain points, and opportunities for AI to materially improve outcomes.
Help shape and build products from early concept through prototype, evaluation, launch, and ongoing iteration.
Translate complex security and model capabilities into clear product requirements and intuitive user experiences.
Partner with research and engineering teams to connect model improvements with real product use cases.
Collaborate with OpenAI’s internal Detection & Response team to learn from real operational needs and develop reusable capabilities.
Help develop Codex-based workflows that allow defenders to investigate, create, test, and improve security content using the tools they already trust.
Work with security vendors and customers on integrations, design partnerships, and early deployments.
Define practical measures of product quality, including accuracy, usefulness, safety, adoption, and improvements in analyst efficiency.
Help establish appropriate safeguards for permissions, approvals, auditability, tenant isolation, and high-impact security actions.
Support product launches, technical demonstrations, customer engagements, and practitioner-focused content.
Turn lessons from individual engagements into repeatable products, playbooks, and platform capabilities.
You Might Thrive in This Role If You
Have experience building enterprise, developer, infrastructure, or cybersecurity products.
Are excited by zero-to-one product development and comfortable working in areas where the product, market, and technology are still evolving.
Understand how to move from a compelling technical capability to a product that users can depend on.
Can work effectively with researchers, engineers, designers, security practitioners, and commercial teams.
Have strong product judgment and can balance user value, technical feasibility, safety, and speed.
Are comfortable working directly with customers and partners to learn, prototype, and iterate.
Can make complex technical systems understandable without oversimplifying them.
Care deeply about building products that are measurable, trustworthy, and useful in real operational environments.
Are willing to operate at multiple levels—from product direction and roadmap discussions to detailed workflow design and launch execution.
Nice to Have
Experience with security operations, detection and response, threat intelligence, identity security, endpoint security, or security analytics.
Familiarity with products such as SIEM, EDR, XDR, SOAR, network security, identity platforms, or security validation tools.
Experience building AI products, agentic systems, developer tools, or enterprise integrations.
Familiarity with model evaluations, benchmark design, or human-in-the-loop product workflows.
Experience building partner ecosystems, APIs, connectors, or platform products.
A history of working closely with technical or practitioner communities.
What Success Could Look Like
In this role, you will help the team:
Identify a small number of high-value defensive workflows where OpenAI models can create a meaningful advantage.
Ship products that move beyond demonstrations and become part of how defenders work.
Establish productive feedback loops between practitioners, product development, evaluations, and model research.
Build reusable Codex workflows and integrations rather than one-off customer solutions.
Demonstrate measurable improvements in defensive outcomes and analyst productivity.
Develop trusted relationships with internal security teams, customers, and security technology partners.
Contribute to OpenAI becoming a respected and useful member of the broader cyber defense community.
An example central measure of progress will be: Measured improvement in defensive outcomes per analyst-hour.
This role will be part of a small, highly collaborative team. Product direction will be developed in close partnership with cyber leadership, security practitioners, research, engineering, and other product teams across OpenAI.
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.
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. 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.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Apply for this Job
Powered by
Privacy PolicySecurityVulnerability Disclosure
Listed by OpenAI for a position based in the United States. Employers on this board attest they are hiring domestically.