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About the Team OpenAI’s Tax and Trade team sits at the center of OpenAI’s global growth, shaping how cutting-edge AI products, partnerships, and infrastructure scale across borders while navigating complex tax, trade, and regulatory regimes. We operate as strategic operators, not just compliance experts, embedding early in product, finance, policy, and infrastructure decisions to manage risk, unlock incentives, and enable OpenAI to grow responsibly and competitively worldwide. About the Role We’re hiring a Tax Director to help shape some of OpenAI’s most important business, product, infrastructure, and financing initiatives. This role will sit at the intersection of tax, finance, technology, and commercial strategy, advising on the investments, products, partnerships, and operating decisions that enable OpenAI to scale. You will serve as a senior tax business partner to Finance, Legal, Infrastructure, Treasury, Accounting, Product, and commercial teams. Your work will span compute and infrastructure investments, structured financings, commercial contracting, product strategy, new business models, and international expansion. This is a broad, highly commercial role for someone who enjoys solving new problems and influencing business decisions. The ideal candidate combines strong tax judgment with financial acumen, intellectual curiosity, and an understanding of transaction economics, contractual risk allocation, and business operations. You will engage early in strategic initiatives, help teams evaluate possibilities, and develop practical structures that support OpenAI’s growth. 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. In this role, you will: Serve as a senior tax business partner across OpenAI, advising on strategic business decisions, product development, commercial models, infrastructure investments, financing initiatives, and international growth. Serve as the lead tax a

About the team The OpenAI for Government team is a dynamic, mission-driven group leveraging frontier AI to transform how governments achieve their missions. Our team works to empower public servants with secure, compliant AI tools (e.g., ChatGPT Enterprise in custom configurations) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. As part of the OpenAI for Government team you will work across U.S. defense enterprises, helping to accelerate adoption through hands-on support, tailored training, and early insights—so civil servants can spend less time on red tape and more on meaningful work. If you're passionate about responsibly deploying frontier AI to uplift public institutions and transform how the government serves the American people, we want you on our team. About the Role The Strategic Delivery Lead (SDL) for DoW will identify and deliver on some of OpenAI’s most complex and high-impact deployments for the U.S. national security enterprise, with a focus on CDAO-led efforts including GenAI.mil , Advana (WDP), and other programs that accelerate DoW adoption of data, analytics, and artificial intelligence across the DoW enterprise. The role is highly cross-functional and customer-facing: You’ll partner with Research, Engineering, Go-to-Market, CDAO, the Military Departments and Services supported by CDAO, and other external stakeholders to align on scope, unblock delivery, and communicate progress at every level, from technical teams to C-suite. You will own and drive execution of technical delivery workstreams led by internal teams (Forward Deployed Engineers, Researchers, Solutions Architects, Enablement), ensuring clear problem-framing, crisp milestone definitions, proactive risk identification, rapid issue resolution, and effective translation between business objectives and technical solutions, while consistently communicating clear progress and demonstrating tangible value to national security cus

About the Team OpenAI's Go-To-Market team helps organizations understand, adopt, and scale the use of advanced AI across their businesses. Our team brings together Sales, Solutions, Customer Success, Marketing, Partnerships, and other cross-functional leaders to support customers in deploying AI responsibly and delivering meaningful business outcomes. About the Role As an Account Director focused on Media, you will lead relationships with a select portfolio of the largest and most strategically important media, entertainment, publishing, streaming, and digital content companies. You will help these organizations apply OpenAI's technology to transform content creation, audience engagement, advertising, personalization, customer experience, employee productivity, and new AI-powered products and services. This role combines deep enterprise sales experience, executive relationship management, media industry knowledge, and technical fluency. You will work across complex, highly matrixed organizations to identify strategic opportunities, build alignment with senior decision-makers, and lead enterprise-wide adoption of OpenAI's products. You will own the full customer lifecycle, from strategic account planning and opportunity development through negotiation, deployment, consumption growth, and long-term expansion. In close partnership with Solutions, Product, Engineering, Research, and other internal teams, you will help shape OpenAI's media go-to-market strategy and establish durable relationships with some of the industry's most influential companies. In this role, you will: Manage a small portfolio of large, strategic media accounts and develop comprehensive, multiyear account plans. Build and maintain executive relationships with C-level and senior business leaders across technology, digital, editorial, content, advertising, audience development, product, data, and AI. Lead complex, enterprise-wide sales cycles involving multiple stakeholders, business units, procureme

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. Thi

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We are looking for a highly skilled PSIRT Engineer to lead the vulnerability response program for Replit’s cloud-native AI platform. You will own the lifecycle of security vulnerabilities affecting our products and services—from intake to validation, remediation coordination, and public disclosure. This role requires strong technical ability to reproduce vulnerabilities , deep understanding of web/app/cloud exploit classes, and experience operating bug bounty and coordinated disclosure programs. You will work closely with Engineering, Cloud Security, SecOps, SRE, and IT teams to ensure vulnerabilities are fixed quickly and communicated responsibly. What You’ll Do Vulnerability Intake, Triage & Validation Manage intake from bug bounty platforms (HackerOne preferred), customer reports, automated scanners, pentest reports, and coordinated disclosure channels. Independently validate, reproduce, severity-score, and document findings. Identify duplicates and maintain a clean vulnerability records pipeline. Assess relevance and exploitability using OWASP, cloud misconfiguration patterns, and identity/authentication/authorization risks (Oauth, OIDC). Remediation Coordination & SLA Management Work with Engineering, SecOps, IT, SRE, and Cloud Security to confirm product impact and drive remediation. Provide detailed reproduction steps, proof-of-concepts, and technical analyses. Track SLAs, remediation progress, regression testing, and systemic improvements. Support SOC 2, ISO 27001, and pentest evidence needs as part of vulnerability lifecycle governance. Bug Bounty & Vulnerability Disclosure Program Management Design and evolve the bug bounty program, including scope, rules, and reward structures. Man

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's mission is to increase the GDP of the internet — and we do that responsibly. The User Risk Strategy (URS) function is at the heart of that responsibility: it is the team that defines who Stripe can do business with , on what terms, and how those standards are maintained and enforced at scale. The function sits within the First Line of Defense in Stripe's Risk organization and is the authoritative owner of Stripe's supportability framework. We are looking for a seasoned leader to own and evolve the URS / Supportability function as a Manager of Managers (M2). In this role, you will lead a team of risk strategists and analysts across Ecosystem Strategy, New Product Enablement, User Insights & Enablement, Platform Risk Strategy, and Enforcement & Monitoring Strategy (EMS). You will be a senior leader in the Risk Strategy organization, shaping the direction of Stripe's supportability ecosystem and driving cross-functional decisions that directly influence Stripe's ability to grow safely. In this role, you will report into the Head of Risk Strategy and partner closely with Product, Engineering, Legal, Financial Crimes, Financial Partnerships, Operations, and GTM leadership. What you’ll do Responsibilities Strategy & Vision Own the long-term vision and strategy for Stripe's User Risk / Supportability function, ensuring legitimate users can use Stripe while protecting Stripe's financial platform, brand, and regulatory s

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team The Onboarding and Compliance Risk Strategy team serves as a key risk management function that partners with product, engineering, and cross-functional teams to bring products to market safely and responsibly. Our work spans money movement, money storage, lending, and emerging product areas including embedded finance, stablecoin settlement, and digital assets — requiring fluency in both traditional financial regulation and the compliance obligations unique to fintech-native products. We are seeking a strategic-minded and collaborative Risk professional to build and scale the risk management and compliance foundations for our Financial Account products, our new and existing credit products, and the global payment networks that power them. What you’ll do Stripe is building new products that expand the scope of problems we tackle beyond payments and into the rest of the financial stack. Right now this includes Capital, Financial Accounts, and Issuing - and there's more on the way. Stripe is a technology company that operates within the financial services industry, and you will need to be comfortable straddling both of those worlds every day. The right person for this role will thrive while working at the intersection of an emerging sector and a traditional industry, seek creative solutions to traditional problems, and enable the business responsibly while moving with urgency and focus. We are currently hiring for two roles, one with a focus on

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Global Growth teams. You’ll play a key role in designing and shipping experiments, as well as identifying improvement opportunities across stripe.com and the dashboard to help businesses worldwide get started on Stripe. You’ll help us understand, grow, and optimize the self-serve user funnel to ensure a consistently high-quality onboarding experience for users globally. As Data Scientists at Stripe, our mission is to ensure that company strate

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. The Link Data Science team at Stripe is the dedicated data science and analytics partner for Link - currently with a strong product market fit in offering one-click checkout to shoppers who shop across Stripe’s merchant network, trusted by more than 300M users. The Link team has an exciting roadmap to launch consumer-friendly features to make Link the best way to spend, while continuously generating conversion uplift to our merchants. We are hiring for two data scientists dedicated to: Local Payment Methods - We want to enable consumers across the globe to be able to pay using their preferred local payment method like UPI, PIX etc. This allows me

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g., understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, and quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you’ll do We’re looking for a Data Scientist to partner with our Local Payment Methods (LPM) engineering and product teams. You’ll play a key role in understanding, growing, and optimising our LPM business, leveraging data to make strategic business decisions. As Data Scientists at Stripe, it's our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experime

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data products that protect Stripe and its users from fraud, account takeover, and financial crime. We own the full fraud and loss modeling stack - from account takeover detection and card fraud classification to merchant-level loss estimation, unsupervised anomaly detection, and financial crime risk modeling. We partner with Fraud Engineering, Financial Crimes Engineering, and Risk Operations to bring these systems into production and ensure they have measurable impact on Stripe's financial integrity and user trust. What you'll do We're looking for a Data Scientist to join the Fraud Data Science team. In this role, you'll build and improve the models that power Stripe's fraud detection and loss management systems. You'll work closely with Fraud Engineering and Risk Operations to move models from research to production, and you'll use data to surface insights that shape fraud strategy across the business. Data scientists on this team apply supervised and unsupervised machine learning, statistical mod

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Payments team works across product, engineering, design, and finance to build the financial infrastructure that makes OpenAI’s products accessible to consumers and enterprises around the world. As AI introduces new ways for people and organizations to work, the team is defining how to support and monetize emerging forms of product usage, from usage-based pricing to agentic work. We’re building the foundational systems that help OpenAI products deliver clear, reliable, and scalable payment experiences while ensuring that this powerful technology is deployed responsibly. About the Role In this role, you’ll lead design for one of OpenAI’s most foundational product areas: the payments and monetization infrastructure that supports our consumer and enterprise products. You’ll partner closely with product, engineering, and cross-functional teams to shape how customers understand, manage, and pay for entirely new kinds of AI usage. Your work will extend beyond traditional checkout and billing. You’ll help define the systems, frameworks, and experiences behind durable pay-as-you-go models, Codex usage, and agentic workflows, translating complex business and technical requirements into intuitive experiences. As a product designer in a highly ambiguous and rapidly evolving space, you’ll influence both product strategy and the underlying infrastructure that OpenAI products depend on. This role is based in our San Francisco HQ. We offer relocation assistance to new employees. In this role, you will: Lead the design direction for foundational payments, billing, and monetization experiences across OpenAI’s consumer and enterprise products. Design and ship high-quality, end-to-end product experiences, from early systems and interaction concepts to high-fidelity prototypes and production-ready designs. Shape the infrastructure and product frameworks that support em

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. Safely delivering increasingly capable AI systems requires scalable technical safeguards, clear ownership of emerging risks, rigorous deployment readiness, and close coordination across research, engineering, product, operations, legal, policy, and external partners. Our Technical Program Managers lead complex, high-stakes initiatives that turn safety commitments into deployed systems and measurable outcomes. We work across model development, infrastructure, product, and operational response to help ensure our technology is deployed responsibly and cannot be used to cause serious real-world harm. About the Role We’re seeking Technical Program Managers to drive complex product, platform, and safety initiatives across ChatGPT, API, enterprise, and related deployment environments. These roles operate at the intersection of technical strategy and execution: you will turn safety and product priorities into actionable plans, influence architectural and operational decisions, and deliver durable capabilities across model, infrastructure, application, and platform layers. Depending on the role, you may enable sensitive or high-impact model deployments, integrate safeguards into cloud and API platforms, prevent violent misuse and other serious harms, improve detection and enforcement systems, create platform solutions for safety or establish new programs as risks evolve. You will partner deeply with engineers, researchers, product managers, and operational teams while communicating technical tradeoffs and program decisions to senior leadership. You bring technical fluency, product judgment, and a strong execution record. You’re comfortable navigating ambiguity, advocating for users and developers, balancing safety with model usefulness, and leading cross-functional work with urgency, rigor, and empathy. Specific focus areas and scope will vary by opening and level. In

About the Team The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models. We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role You’ll own the hands-on and automation work that brings WAN, fiber, carrier, and cloud-interconnect circuits into service. Partner with network engineers, fiber providers, cloud service providers, colocation teams, and data-center technicians to move each connection from ordered and patched to verified, stable, and ready for handoff. You’ll own Layer 1 troubleshooting and circuit bring-up while building workflows that translate reliable system or model output into precise, approved technician actions, capture field feedback, and drive each connection to a green-port handoff. The right person combines strong physical-networking judgment with practical automation skills: patch-panel and port mappings, optics and light levels, provider coordination, structured operational data, API or scripting workflows, and human-in-the-loop LLM tooling. Responsibilities Own Layer 1 activation and restoration for carrier circuits, dark fiber, wavelengths, Ethernet handoffs, and dedicated cloud interconnects across data centers and points of presence. Reconcile complete A-side/Z-side as-builts: circuit IDs, LOAs/CFAs, carrier demarcations, MMR/ODF/MDF and patch-panel positions, fiber pairs, cross-connects, optics, and device ports. Investigate no-light, low-light, wrong-port, link-flap, and error-rate issues across providers and CSPs; isolate continuity, dirty connectors, polarity, incorrect patching

About the Team Our Cyber team builds AI systems and products that help trusted defenders understand and respond to cyber threats while improving the safety and reliability of frontier models in security-sensitive settings. The team works across product engineering, model training, evaluations, safeguards, and deployment to make advanced cyber capabilities useful to defenders and responsibly managed. We collaborate closely with Safety/Preparedness, Research, Security, Legal, Communications, GTM, and external partners across OpenAI’s broader cyber work. About the Role We’re looking for research and software engineers to join Codex Cyber. You’ll help define and ship security products, work with trusted defenders and customers, shape model training and access patterns, and build research and evaluation systems for assessing cyber capabilities, validating safeguards, and improving training data. This role is hands-on and cross-functional, connecting product launches, model development, safety work, and real-world security use cases. In this role, you will: Help define and execute the technical roadmap for Codex Cyber’s security products, including evaluations, safeguards, trusted-defender workflows, and deployment decisions. Work with trusted defenders, customers, and partner teams to understand cyber use cases, evaluate risk, and turn feedback into product and research priorities. Shape cyber-specific model training and access patterns, including data, evaluations, validation, and deployment criteria. Build and validate systems for measuring cyber capabilities, monitoring misuse risk, and proving safeguards work in practice. Collaborate with Safety/Preparedness, Research, Security, Legal, Communications, Go-to-Market, and external partners on company-wide cyber priorities. Translate frontier cyber research into launch-ready tools, operational playbooks, and durable infrastructure for Codex and security products. You might thrive in this role if you: Enjoy 0 -> 1 envi