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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Total Rewards Compensation team serves as a strategic advisor to business leaders, managers, and employees across Airbnb. We are compensation experts with a deep understanding of our stakeholders, problem solvers who use data and insights to drive value, and partners who build the tools, models, and frameworks that support sound compensation decision-making across the company. This role sits within the Compensation function and will work closely with the Technology organization and cross-functional partners including Recruiting, People Analytics, Finance, Legal and Talent. The Difference You Will Make: We are looking for a Technical Compensation Partner to serve as the dedicated compensation partner for the Technology organization, covering Engineering, Infrastructure, Machine Learning, and Data Science. This role will support VP and Director level tech leaders and their Talent Partners as the primary day-to-day compensation resource. The ideal candidate will be a strong business partner and a builder of compensation programs, tools, and data infrastructure, and must be comfortable operating with autonomy in a fast-moving environment. A Typical Day: Serve as the dedicated compensation partner for the Technology organization, supporting VP and Director level leaders, Talent Directors, and People Partners across Engineering, Infrastructure, ML/AI, and Data Science. Act as the primary point of contact for Talent Directors and senior tech leaders on new hire offers, internal equity reviews, leveling decisions, and out-of-cycle requests. Own compensation cycle execution f

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Our Product Managers imagine the ideal experience for our community and work backwards, creating innovative products that delight our guests and hosts. They deeply understand the needs of our users and translate these into a strategy that combines strong product thinking and deep research. They partner with talented cross-functional team members across engineering, design, operations, data science, and more, leading teams to execute a shared vision. They are incredibly detail-oriented and hands on. The Difference You Will Make: Airbnb is seeking an exceptional product manager to reimagine how guests search on Airbnb. Search is the front door to the entire guest experience — the moment someone tells us what they want and we have to understand it, then show them the right options in the right order. Today that means query understanding, filtering, and ranking. Tomorrow it means next-generation AI capabilities that let guests search more naturally, get better matches with less effort, and trust that Airbnb understood what they were actually looking for. In this role, you will own the vision and roadmap for the future of search at Airbnb — pushing beyond keyword and filter-based search toward more intelligent, conversational, and personalized ways for guests to find their perfect stay. You'll partner closely with engineering, design, and data science teams to bring new AI-powered search capabilities from concept to guests. This is a high-visibility role building one of the most consequential surfaces in the guest experience, and will regularly interface with senior engineering and leade

About the Team The B2B Content team helps business audiences understand what AI makes possible and how to put it to work. We develop narrative, editorial, demo, and adoption programs that connect OpenAI’s products to concrete business value. We partner closely with Product Marketing, Demand Generation, Customer Education, Sales, and other teams to create content that is useful on its own and supports the broader customer journey. We value people who are eager to learn, have a bias for action, and look beyond the immediate deliverable. We build the tools, systems, and shared practices that help the whole team produce better work over time. About the Role We’re looking for a Content Marketing Manager, Demand Generation to turn foundational B2B messaging, flagship narratives, research, launches, events, and product workflows into the right content for different industries, lines of business, audiences, and stages of the customer journey. You’ll create content across webinars, guides, ebooks, blogs, customer proof, and decision-enablement materials. You’ll also build the modular frameworks that allow strong source material to be adapted and reused without recreating the work from scratch. You’ll work closely with Product Marketing, which owns product positioning and messaging, and Demand Generation, which owns audience and channel strategy. You’ll bring strong content judgment to that partnership: helping determine what should be created, how it should be structured, and how it can work across different contexts while preserving a coherent central narrative. This is a senior individual-contributor role for a hands-on marketer, writer, and editor. It does not include people management or ownership of the broader content portfolio. This is a hybrid role and will be based in San Francisco, Monday through Wednesday. Thursday and Friday are work-from-home days, with occasional in-office attendance as needed for live webinars. In this role, you will Partner with Product Marke

About the team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to turn partner opportunities into durable product experiences and business outcomes. We are a small team working on opportunities that rarely arrive with a playbook. We set the strategy, make the tradeoffs, and stay close to execution through launch and scale. About the role We’re hiring a Strategic Partner Manager to own and drive the expansion of a portfolio of OpenAI’s most strategic platform partnerships. You will treat each partnership as a business: set the expansion thesis, align joint product roadmaps, structure commercial opportunities, and translate shared ambition into measurable adoption, usage, revenue, distribution, and product impact. This is a senior individual-contributor role with full-lifecycle ownership—from strategy and negotiation through integration, launch, performance, expansion, and renewal. It is a 0-to-1 builder role, not a coordination role. You will create clarity where the operating model is still emerging, make sound decisions with incomplete information, and step into the details required to move the work forward. The right person can move fluidly between a multi-year partnership strategy and the immediate product, commercial, or operating blocker in front of the team. You will build trusted relationships at the executive and working levels while representing OpenAI’s priorities with clarity and thoughtful pushback. What success looks like Each priority partner has a clear expansion thesis, joint roadmap, governance model, and measurable outcomes. High-priority product integrations and go-to-market initiatives launch with clear ownership, strong readiness, and fewer unresolved dependencies. Partnerships show measurable growth across the outcomes that matter for t

About the Team Enterprise Verticals builds role-specific ChatGPT Work experiences for high-value enterprise workflows. We combine product engineering, plugins and skills, connectors, data, evaluations, and customer evidence to turn useful demos into reliable daily work. This opening sits within the Technology vertical inside Enterprise Verticals. The group focuses on repeatable workflows for people at technology companies, beginning with functions such as data and analytics, sales, and design, and carries the shared platform needs—tool integration, permissions, quality measurement, and safe rollout—across those experiences. We work closely with Design, Research, GTM, Security, and platform teams, as well as with customers and design partners. Success means that people can reach a trustworthy first result, understand what the system did, and keep using the workflow—not merely that a prototype exists. About the Role We are looking for an exceptionally experienced, hands-on full-stack engineer to define and build the next generation of AI-powered enterprise workflows. You will take on the hardest and most ambiguous problems in the Technology vertical: translating real customer needs into product direction, designing the systems behind the experience, and personally writing and shipping production-quality code across the stack. You will own the technical direction and end-to-end delivery of products spanning ChatGPT Work surfaces, backend services, plugins, connectors, enterprise data, permissions, and evaluations. You will make foundational architecture and product tradeoffs; establish patterns other engineers can build on; and hold these experiences to a high bar for reliability, security, observability, and customer value. This is an individual-contributor role for an engineer who leads through technical judgment, direct execution, and influence—not people management. You should be equally comfortable working directly with customers, setting direction with senior cro

About the Team The User Operations team (Support) is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role OpenAI’s top-of-funnel is evolving into a signal-driven, data-orchestrated engine powered by AI-native workflows, enriched customer intelligence, and increasingly interconnected systems. We are looking for a Technical Systems Program Manager to help drive the strategy, alignment, prioritization, and execution of these systems across Salesforce and adjacent platforms. This role will partner closely with Engineering, Revenue Operations, Data, and Enterprise Platform teams to operationalize scalable CRM workflows. The ideal candidate combines strong technical fluency, operational systems thinking, and stakeholder leadership with the ability to drive execution across highly cross-functional environments. This role is based in San Francisco, CA, and the team works a hybrid schedule (Monday - Wednesday in office). We will offer relocation assistance if needed. In this role, you will: Own and drive CRM systems initiatives across support Partner with senior business stakeholders and engineering teams to identify operational pain points, define scalable solutions, evaluate technical tradeoffs, and execute across Salesforce and adjacent platforms Align cross-functional stakeholders including Revenue Operations, Support Delivery, Risk, Engineering, Data, Legal, and Enterprise Platform teams while driving prioritization and execution Help operationalize AI-native workflows by defining and building s

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem that accelerates customer success, enables enterprise AI adoption, and drives durable growth in support of OpenAI’s mission. Cloud partners are central to how customers discover, purchase, deploy, and scale OpenAI solutions. We work across cloud providers and their field, product, marketplace, technical, and partner organizations to reduce friction for customers and create repeatable paths from initial interest to production impact. The team collaborates closely with Sales, Technical Success, Product, Engineering, Finance, Legal, Security, Marketing, Operations, and Customer Success to turn strategic cloud relationships into measurable customer and commercial outcomes. About the Role We are hiring a Partner Director, GTM Cloud Partnerships to shape and execute OpenAI’s go-to-market strategy with strategic cloud partners. You will own senior relationships across a portfolio of cloud providers and develop joint business plans that expand customer access to OpenAI’s products, generate partner-sourced opportunities, and accelerate enterprise adoption. You will translate company-level partnerships into practical field motions spanning account planning, co-selling, cloud marketplaces, customer procurement, technical enablement, solution development, and executive engagement. This is a highly strategic and hands-on role. Success requires executive presence, strong commercial judgment, cloud ecosystem expertise, and the operating discipline to coordinate complex initiatives across multiple partners, regions, and internal teams. The ideal candidate can move fluidly between long-term strategy and the detailed execution required to deliver measurable results. This role is based in San Francisco. We use a hybrid work model of three days in the office per week. In this role, you will: Own the strategic and commercial relationships with a top global cloud partner, establishing strong alignm

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

About the Team OpenAI is a frontier AI research and deployment company. Frontier research is at the center of how we advance our mission, with researchers, engineers, product leaders, operators, and many other teams working together to turn new capabilities into systems that benefit humanity. The People team helps OpenAI attract, engage, and support the exceptional talent this work requires. Employer Brand sits at the intersection of Research, Recruiting, Communications, Marketing, and Brand. Its mandate is to continue to establish OpenAI in the talent market as the unique and leading frontier research lab—not simply another technology company—and make our distinctive research environment, mission, culture, and opportunity for impact relevant and tangible to every priority talent audience. About the Role We’re hiring an Employer Brand Manager to build and scale the strategy, narrative, and operating system that shape how priority talent understands OpenAI. This senior individual contributor will anchor our employer brand in OpenAI’s identity as a frontier research lab and translate an evidence-backed “why OpenAI / why now” narrative into campaigns, researcher and employee stories, recruiter and hiring manager enablement, and candidate experiences. This role is especially important as OpenAI competes for exceptional talent across research, engineering, product, and other mission-critical functions in a fast-moving field where external perceptions can be incomplete or change quickly. You will develop a clear, credible talent narrative for priority audiences—anchored in frontier research and substantiated by individual agency, world-class infrastructure, research-to-product translation, deployment scale, and a willingness to answer hard questions candidly. This role is responsible for ensuring the external brand resembles our culture and ethos internally, therefore must remain immersed in various OpenAI research and applied branches. This role is based in San Francisco

About the Team At OpenAI, our User Safety & Risk Operations (USRO) team helps protect our products and users from abuse, fraud, safety risks, and other forms of misuse. We operate at the front line of real-world safety and risk management, translating user and operational signals into timely decisions, effective interventions, and improvements to our systems. This role sits on a team focused on building operational capacity for new, ambiguous, and fast-moving areas of work. The team defines what needs to be built, creates the operating model to support it, and works with partner teams to make the work scalable and durable over time. About the Role We are seeking a Device Safety & Risk Operations Specialist to build the safety operating model for a new category of consumer hardware. This is a senior individual-contributor role for someone who can turn emerging product risks and incomplete requirements into practical workflows, controls, launch plans, and durable systems. You will define how product-safety incidents, critical escalations, regulated cases, and privacy-sensitive issues should be identified, investigated, escalated, resolved, and learned from. You will also establish operational requirements for case management, data access, decision logging, quality assurance, monitoring, and cross-functional response. You will stand up priority workflows through launch and early operations, then help transition them into durable homes across USRO and partner teams. The right person combines deep operational judgment with strong technical and hardware product fluency. They can move from executive-level risk framing to detailed workflow design, tabletop exercises, launch readiness, frontline guidance, and post-launch improvement. Location / work model: San Francisco, CA; hybrid, 3 days/week in-office. Please note: This role may involve exposure to sensitive or concerning material. Strong discretion, judgment, and resilience are essential. In This Role, You Will:

About the Team The Pricing & Monetization team is responsible for how our products create and capture value. We partner closely with Product, Engineering, Data Science, GTM, and Finance to design pricing models, packaging, and commercial strategies that support adoption, growth, and long-term scaling of the business. To thrive in this team, you need to be a proactive problem-solver who excels at bringing structure to ambiguous challenges. Our work demands strategic thinking, cross-functional collaboration, and precision in execution. Team members succeed when they are analytical, detail-oriented, skilled at balancing multiple priorities, and passionate about driving high-stakes projects forward to deliver meaningful results. About the Role We are looking for a Pricing Strategist to shape how we price and monetize OpenAI’s API platform. You’ll own the end-to-end pricing strategy across model launches, price architecture, packaging, commitments and discounts, and monetization guardrails. You’ll work closely with senior leaders across Product, Engineering, Data Science, GTM, and Finance to define pricing approaches, improve commercial decision-making, and bring more rigor to how we monetize our API offerings. You should be comfortable building monetization frameworks and commercial policies, analyzing tradeoffs, supporting high-impact decisions and driving decision making. You should also care deeply about the customer perspective and believe that strong pricing reflects a real understanding of customer value, needs, and friction points in order to build pricing that is clear, fair, and aligned with how customers experience our products. This role will report to the Head of Product Pricing for API & Platform. What you’ll do Develop the end-to-end pricing strategy for our API platform, including model launch pricing, price architecture, packaging, discount logic, and monetization guardrails. Recommend pricing for new models, capabilities, and platform offerings,

About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances to make OpenAI’s deployed models safe and beneficial. This requires a breadth of new ML research to address the growing set of safety challenges as AI becomes more powerful and used in more settings. Key focus areas include how to enforce nuanced safety policies without trading off helpfulness and capabilities, how to make the model robust to adversaries, how to address privacy and security risks, and how to make the model trustworthy in safety-critical domains. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. About the Role OpenAI is seeking a senior researcher with passion for AI safety and experience in safety research. Your role will set directions for research to enable and empower safe AGI and work on research projects to make our AI systems safer, more aligned and more robust to adversarial or malicious use cases. You will play a critical role in shaping how a safe AI system should look like in the future at OpenAI, making a significant impact on our mission to build and deploy safe AGI. In this role, you will: Conduct state-of-the-art research on AI safety topics such as RLHF, adversarial training, robustness, and more. Implement new methods in OpenAI’s core model training and launch safety improvements in OpenAI’s products. Set the research directions and strategies to make our AI systems safer, more aligned and more robust. Coordinate and collaborate with cross-functional team

About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching,

About the team ​​Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security that could scale to an extreme level of severity. Our work involves: Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework , and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. About the role Models are becoming increasingly capable—moving from tools that assist humans to agents that can plan, execute, and adapt in the real world. As we push toward AGI, cybersecurity becomes one of the most important and urgent frontiers: the same systems that can accelerate productivity can also accelerate exploitation. As a Researcher for cybersecurity risks, you will help design and implement an end-to-end mitigation stack to reduce severe cyber misuse across OpenAI’s products. This role requires strong technical depth and close cross-functional collaboration to ensure safeguards are enforceable, scalable, and effective. You’ll contribute directly to building protections that remain robust as products, model capabilities, and attacker behaviors evolve. In this role, you will: Design and implement mitigation components for model-enabled cybersecurity misuse—spanning prevention, monitoring, detection, and enforcement—under the guidance of senior technical and risk leadership. Integrate safeguards across product surfaces in partnership with product and engineering teams, helping ensure protections are consistent, low-latency, and scale with usage and new model capabilities. Evaluate technical trade-offs within the cybersecurity risk domain (coverage, latency, model util