Practice Development Manager in United States

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 web and API surfaces handle requests from guests and hosts alongside a growing volume of automated agents: AI assistants, crawlers, and scrapers. We build the systems that bring clarity to this traffic, combining in-house ML and vendor signals to decide in real time how to serve billions of daily requests. Anti-bot and anti-scraping detection is our most adversarial mandate, but the wider challenge is full traffic classification: building evaluation frameworks that tell legitimate automation apart from abusive actors, so high-stakes decisions hold up across the fleet. The Difference You Will Make: You will architect and maintain Airbnb’s end-to-end traffic classification ML systems, balancing high-performance model deployment with rigorous offline data pipelines. Success is measured by your ability to harden edge-traffic policies—targeting reduced bot-incident MTTM—and by establishing rigorous evaluation practices that ensure foundational signal accuracy and evasion-resistance across the fleet. A Typical Day: Own the complete lifecycle of traffic-scoring models, from problem framing to real-time deployment, managing the adversarial feedback loop to ensure high evasion-resistance and directly drive reductions in bot-incident MTTM. Architect robust offline-to-online pipelines that produce certified source-of-truth datasets, establishing rigorous evaluation frameworks—such as stratified benchmarks and leakage-prevention checks—to ensure every model improvement is empirically measurable and defensible. Execute model optimization within strict millisecond latency budgets at the

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 Capital team is responsible for managing the end-to-end risk strategy for Stripe's lending product. The team is based in the US and Canada, and is composed of curious, driven, and analytical individuals who are passionate about using their skills to shape the future of Stripe. We partner closely with Stripe's engineering, data science, product, and servicing teams to leverage existing platforms, integrate industry best practices, and develop novel solutions to evaluate and manage credit risk. If you are interested in joining a fast-growing organization and applying your experience to shape the future of Stripe, we encourage you to apply. What you’ll do As a key member of the Capital team, you will have the opportunity to shape the future of Stripe's credit policy by driving meaningful changes to the risk and underwriting framework. You will leverage Stripe's vast data assets to formulate your recommendations and work closely with our partners and, where applicable, leverage third-party data. We are a small and lean team, which means you will have the autonomy and the responsibility to manage end-to-end risk initiatives. Responsibilities Architect and implement credit policies based on Stripe's proprietary data and selected industry data to target, price, and size capital products. Utilize your analytical and technical skills to provide credit risk recommendations, deliver insights, and support strategic business decisions. Collabor

About the Team The Strategic Initiatives & Operations team is in need of a Technical Program Manager (TPM) to streamline our processes, including full safety governance and integration of various safety research and mitigations into our ChatGPT, API, and any frontier models. This role is critical for driving safe deployment of our new models, synthesizing inputs from multiple stakeholders, ranging across research, product, engineering, legal and policy, and ensuring all the risks are effectively and properly monitored, mitigated or resolved. About the Role As a TPM, you will be responsible for critical tasks ranging from tracking safety research progress and risk tables to overseeing the quality of human data campaigns – acting as the connective tissue to enhance the deployment of OpenAI’s safety system. Additionally, you will create and execute a compute roadmap for your team to ensure that our top priorities are resourced while taking advantage of new opportunities to make key safety research discoveries. Your primary focus will be to ensure our models are qualified for safe deployment. 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 key risk areas and corresponding stakeholders. Keep track of a stack of existing and future mitigations for every major product and model deployment. Standardize the lifecycle of risk assessment, setting safety bars, consolidating inputs from multiple stakeholders across research, product, engineering, legal and policy, pre-launch safety reviews and post-launch followup. Manage pre-launch safety reviews. Share launch calendars and key safety practices and evaluations with our key parter (i.e. Microsoft). Develop comprehensive documentation for all the safety work, including metrics, evaluations, and progress tracking across multiple teams within OpenAI. Help with publishing and open sourcing safety

About the Team The Corporate Security team is responsible for safeguarding all OpenAI employees and executives. Our mission is to create a secure, resilient environment that allows our teams to focus on their work without risk or disruption. We manage physical security operations across offices, events, and global initiatives, partnering closely with internal teams and external agencies to stay ahead of emerging threats. About the Role As the Corporate Security Operations Manager based in Mountain View, you will own day-to-day site security operations and help develop practical physical-security strategies, policies, and procedures. You will lead vendor-managed armed and unarmed security teams, partner cross-functionally, and serve as a key liaison with local law enforcement and security partners. This is a hands-on site-operations and guard-force leadership role, not primarily an executive, investigative, or policy-leadership position. The role typically requires 4-5 days in the office each week. In this role, you will: Office Security: Develop, implement, and manage practical physical-security measures, including policies, training, and vendor relationships, to protect employees and visitors across the Mountain View site and nearby facilities. Operational Management: Own the day-to-day performance of vendor-managed armed and unarmed security teams across shifts and locations. Set clear operational expectations and ensure security personnel understand and consistently follow company policies, post orders, and procedures. Monitor security practices, identify operational risks, and drive timely, practical mitigation and remediation. Coordinate with Workplace, Facilities, building management, law enforcement, and other internal and external partners to maintain a cohesive security posture. Support broader Corporate Security operations as needed. Support or lead security operations for on-campus events. Serve as the primary point of contact for VIP and government-guest

About the Team The Enablement Lead (EL) team enables organizations to turn OpenAI products into real, sustained impact through world-class enablement and training execution. Our mission is to help customers successfully adopt and operationalize AI across their organizations. We partner with enterprises to translate the potential of OpenAI’s technology into durable capability—through structured training, technical enablement, and scalable deployment programs. By helping customers move from experimentation to production, the EL team accelerates time-to-value, deepens product adoption, and helps make OpenAI indispensable to how organizations work. About the Role The Enablement Lead, Builder role is a specialist post-sales technical enablement role focused on delivering high-impact enablement and adoption services across OpenAI’s product suite. You will design and deliver technical learning experiences covering OpenAI APIs, Codex, agents, evaluations, and related platform capabilities. You will work with engineers, AI and platform teams, administrators, security stakeholders, product leaders, and executive sponsors. This role blends deep technical fluency, instructional design, and customer advisory. You will lead live trainings, workshops, and adoption interventions for audiences ranging from hands-on builders to executive leaders, helping customers understand not just what OpenAI’s products can do, but how to use them effectively in real-world contexts. Success in this role means accelerating customer confidence, increasing product adoption, helping customers progress toward production use, and turning lessons from individual engagements into resources and practices that benefit many customers. This role is based in our San Francisco HQ. 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: Own the technical enablement of OpenAI products, including OpenAI APIs, Codex, Agents, Evaluations a

About the Team OpenAI’s User Operations team helps customers adopt AI successfully and get exceptional value from our products. We resolve complex issues, provide technical guidance, and partner with Sales, Technical Success, Product, Engineering, Security, and other teams to deliver an excellent customer experience at scale. The Government Support Delivery team serves public-sector customers, including U.S. Government agencies and organizations operating under FedRAMP requirements. We help customers deploy and use OpenAI products reliably while navigating complex technical, security, and compliance needs. About the Role We are looking for an experienced technical support leader to build and lead the team responsible for supporting OpenAI’s government customers. You will set the team’s technical and operational direction, develop talented support engineers, and ensure that complex customer issues are resolved with urgency, sound judgment, and care. Your team will work directly with public-sector customers and partner closely with Product, Engineering, Security, Technical Success, and customer-facing teams. You will turn what the team learns from customer issues into lasting improvements across our products, documentation, tools, and support practices. This is an opportunity to shape a critical support function from the ground up and define how OpenAI delivers trusted, technically excellent support to government customers. This role is based in Washington, D.C. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. To comply with a U.S. government contract, applicants for this position must be U.S. citizens, U.S. nationals, or U.S. persons (i.e., U.S. lawful permanent residents, refugees, and asylees). This role is based in Washington, DC. 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: Build and lead a team of highly skille

About the Team The HR Business Partner (HRBP) team at OpenAI helps shape how our organization operates and performs. We work alongside senior leaders and their teams to design effective organizations, strengthen leadership capabilities, and help people do their best work. Our expertise spans leadership coaching, organizational design, talent strategy, employee relations, and change management. Our work is grounded in a deep understanding of OpenAI’s Contributions & Impact (C&I) culture and the needs of teams working at the frontier of AI and hardware. We operate with urgency, empathy, and sound judgment. We value sincerity over polish, collaboration over ego, and a relentless focus on meaningful impact. About the Role We’re looking for an experienced HR Business Partner to support OpenAI’s Consumer Device's team. This is an opportunity to partner closely with leaders and teams doing highly ambitious, multidisciplinary work. You’ll serve as a trusted advisor as the organization builds, collaborates, and evolves—helping create the conditions for people and teams to perform at their best. The role combines strategic advising with hands-on partnership. You’ll help leaders think through organizational questions, coach managers through complex situations, strengthen people practices, and make thoughtful trade-offs that balance the needs of our people, teams, and mission. This is an individual contributor role. Come build with us. Your Key Responsibilities Shape high-performing, resilient teams: Partner with leaders on organizational design, talent planning, and ways of working that support strong performance and sustainable teams. Advise with context and judgment: Develop a deep understanding of the organization and provide thoughtful guidance on people, leadership, and organizational matters. Collaborate across OpenAI: Work closely with fellow HRBPs, People centers of excellence, and cross-functional partners to create a cohesive employee experience rooted in hum

About the Team OpenAI is building Procurement of the future: one that uses AI-enabled systems, clean data, and scalable processes to help the business absorb increasing complexity, speed, volume, and throughput — while enabling teams across OpenAI to operate more strategically and at greater scale. The Hardware Procurement Operations team supports the operational flow of goods and hardware purchasing across OpenAI's hardware business units. We help teams turn business needs into controlled, accurate, and executable procurement activity, from request intake through purchase orders, supplier coordination, change management, receiving readiness, and downstream invoice support. As OpenAI scales, we are building procurement operations that can support changing hardware needs, new business unit priorities, and increasing operational complexity. That means creating practical standards where they help, preserving flexibility where the business requires it, and continuously improving how requests, suppliers, POs, data, and controls move through our systems. About the Role As a Senior Manager of Procurement Operations focused on Hardware, you will own procurement operations for one or more assigned hardware business units. You will be the day-to-day DRI for hardware and goods procurement activity, leading work from intake through purchase requests, POs, supplier needs, changes, receiving readiness, and operational escalations. This is a hands-on operator-builder role for someone who understands the practical complexity of hardware and goods procurement and can both run the work and redesign how the work gets done. You will keep work moving while improving the operating model through better systems, workflows, automation, AI-enabled processes, controls, metrics, and operating leverage. You will evaluate how people, process, policy, systems, data, fiscal controls, and accounting practices come together, and you will work closely with other Central Procurement and BU Procurement

About the Team The Finance Platform & Technology team at OpenAI builds and scales the future-proof systems and data architecture that power our core financial operations. We enable business agility, compliance, and operational excellence across quote-to-cash, procure-to-pay, inventory, and asset management for both B2B and B2C. Our focus is on modernizing workflows through strategic integrations, scalable automation, and seamless data flows empowering smarter decisions, reliable reporting, and sustainable growth as OpenAI evolves About the Role We are looking for a Supply Chain Transformation Architect to redesign and modernize our end-to-end supply chain operations supporting robotics, consumer hardware, and data center infrastructure. This role sits at the intersection of process, systems, and data. Your primary focus will be transforming supply chain processes across planning, procurement, manufacturing, logistics, and fulfillment—then enabling those processes with the right systems architecture, data foundation, and AI-driven automation. You will help move the organization from manual, reactive operations to intelligent, data-driven supply chain execution. In this role you will: Lead End-to-End Supply Chain Transformation Evaluate and redesign core supply chain processes across demand planning, supply planning, procurement, manufacturing operations, logistics, and fulfillment. Identify operational bottlenecks, fragmented workflows, and manual processes that limit scalability. Build standardized process frameworks and operating models that support rapid scaling of hardware programs. Drive Operational Excellence Implement structured supply chain practices such as: S&OP / Integrated Business Planning Supply risk management Inventory optimization Supplier collaboration frameworks Logistics visibility and execution models Establish operational KPIs and governance to improve predictability, responsiveness, and resilience. Architect the Digital Supply Chain Tra

About the Team OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-5, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. About the Role As a Research Program Manager (RPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team. This role is based in our San Francisco HQ. In this role, you will: Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks. Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions. Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim. Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights. Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. Scale Your Impact : Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities. You might thrive in this role if you: Are proficient in SQL and Python for data analysis, including q

About the Team OpenAI's Research Data Team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods in which we acquire and create data. About the Role As a Research Program Manager (RPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings. This role is based in our San Francisco HQ and will be part of a team of RPMs pushing the frontier of data acquisition. In this role, you will: Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans. Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution. Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming. Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers. Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management. Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems. You’ll thrive in this role if you: Are proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights. Are comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.Experience sou

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role OpenAI is seeking a Security Engineer to join our Infrastructure Security (InfraSec) team. InfraSec protects the foundations of OpenAI’s research and production environments, spanning GPU supercomputing clusters, multi-cloud infrastructure, datacenters, networking, storage, and the critical services that power our frontier AI models. Our charter includes securing everything from bare-metal hardware and firmware, to Kubernetes clusters and service meshes, to data storage and access pathways for highly sensitive model weights and user data. In this role, you will: Design and build security controls across diverse layers (e.g., physical hardware, firmware/BMC, OS, Kubernetes, networks, and CI/CD) to defend against sophisticated adversaries and insider threats. Collaborate with engineering and security teams to drive deployment of security enhancements and control changes across broad-scale infrastructure. Tackle high-impact projects such as checkpoint encryption, network isolation, secret management, and machine identity, while continuously raising the security bar for emerging AI workloads. Take a generalist approach to building security controls, balancing a mix of security expertise and broad technical skillsets to adapt to evolving challenges. You will thrive in this role if you have: Deep understanding of security principles, best practices, and common vulnerabilities. A proactive mindset, with the ability to identify and address secu

About the Team: The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role : We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude. In this role you will: Design, build, and operate high-performance distributed systems Identify and resolve performance bottlenecks to scale infrastructure to the next order of magnitude Define long-term technical direction and guide system evolution Collaborate with product, engineering, and research teams to deliver scalable and reliable infrastructure Dig deep into complex production issues across the stack Contribute to incident response, postmortems, and best practices for system reliability You might thrive in this role if you: Have significant experience building, scaling, and optimizing distributed systems at scale Are curious about database internals, storage engines, or low-latency query systems Enjoy debugging challenging performance issues in complex, high-throughput systems Have experience operating production clusters at scale (e.g., Kubernetes or other orchestration systems) Think rigorously about scalability, correctness, and reliability Thrive in fast-paced environments with high

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, ChatGPT Gov) and mission-aligned deployments that meet government technical requirements with strong reliability and safety. About the role Forward Deployed Engineers (FDEs) lead complex deployments of frontier models in production. You will embed with our most strategic government and public sector customers—where model performance matters, delivery is urgent, and ambiguity is the default. You’ll map their problems, structure delivery, and ship fast. This includes scoping, sequencing, and building full-stack solutions that create measurable value, while driving clarity across internal and external teams. You will work directly with defense, intelligence, and federal stakeholders as their technical thought partner, guiding adoption, maximizing mission impact, and ensuring successful deployments at scale. Along the way, you’ll identify reusable patterns, codify best practices, and share field signal that influences OpenAI’s roadmap. This role is based in Washington DC, Seattle or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required, including on-site work with customers. In this role you will Own technical delivery across multiple government deployments, from first prototype to stable production. Deeply embed with public sector customers to design and build novel applications powered by OpenAI models. Enable successful deployments across customer environments by delivering observable systems spanning infrastructure through applications. Prototype and build full-stack systems using Python, JavaScript, or comparable stacks that deliver real mission impact. Proactively guide customers on maximizing business and operational value from

About the Team The Developer Experience team at OpenAI has a singular focus: empowering developers globally. Our mission is to provide every developer and startup on the planet with the most delightful and seamless experience to integrate AI into their applications and products. We ensure developers have the tools, resources, and support they need to unlock AI’s full potential. We create inspiring demos, developer tools, sample applications, and technical content that show developers how to build with Codex and frontier models like GPT-5.6, GPT-Live, and GPT-Image-2 to create powerful agents and AI-native applications. We collaborate closely with product, engineering, research, and GTM teams to ensure the developer journey, from onboarding with Codex to first API call to production deployment, is seamless, effective, and delightful. About the Role As a Developer Experience Engineer, you will create compelling technical content, developer tools, and sample applications designed to inspire developers and enable them to succeed with Codex and OpenAI’s APIs and products for developers. You will engage with developers and technical founders, demonstrating best practices and building innovative applications powered by frontier models, multimodal capabilities, and tools like Codex. We’re looking for people who combine strong technical skills, creativity, and a passion for engaging with and empowering developers. In this role, you will: Develop demos and sample applications that showcase best practices for building with Codex, frontier models, multimodal capabilities, and agents. Create high-quality technical content—including tutorials, blog posts, videos, and code samples—to educate and inspire the developer community about our models, APIs, and Codex. Actively engage with and foster a vibrant local and global developer ecosystem around OpenAI’s platform and products. Represent OpenAI at developer events and online, serving as a knowledgeable and approachable advocate for