Manager Ehs in United States

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 As a part of the Connect Design team, you'll lead product development for the largest complex users on Stripe—marketplaces such as Doordash and Lyft, and platforms such as Shopify and Woo. You'll drive the vision for how these marketplaces and platforms manage risk and compliance for their business and their users in the US and internationally. You'll work with other designers on the team to define the future of the experience for all Connect users on the dashboard. You'll utilize a broad set of product design skills including user interface design, user experience and interaction design, and prototyping. In this role, you'll be responsible for deeply understanding our users and product strategy to design and advocate for the highest quality product experience. What you'll do As a part of the Connect Design team, you’ll lead product development for Stripe’s largest complex users Marketplaces such as Doordash and Lyft, and Platforms such as Shopify and Woo. You’ll drive the vision for how these marketplaces and platforms manage risk and compliance for their business and their users in the US and internationally. You’ll work with other designers on the team to define the future of the experience for all Connect users on the dashboard. You'll utilize a broad set of product design skills including user interface design, user experience and interaction design, and prototyping. In this role, you will be responsible for deeply understanding o

About the Team The People Technology team builds and operates the systems that support how OpenAI hires, develops, and supports its people. The team brings together People Systems and People Innovation Labs, a product engineering group focused on rethinking how we find and retain exceptional talent and help employees do their best work. People Systems owns the company’s core people-technology ecosystem, including platforms such as Workday and Ashby. People Innovation Labs builds new employee and People Team experiences on top of that foundation, including OpenHouse, our internal employee hub, and AI-powered products and automations. Together, we are working toward a model in which our enterprise systems provide reliable data, controls, and core business logic, while employees and managers can complete more of their work through simple, integrated, and AI-native experiences. About the Role We are looking for a People Systems Lead to manage the People Systems team and shape how our core systems evolve. You will be responsible for the reliability and effectiveness of our current environment while helping us move beyond the constraints of traditional enterprise software. This includes stabilizing and improving platforms such as Workday and Ashby, designing the integrations that connect them to the broader technology ecosystem, and partnering with People Innovation Labs to surface workflows through OpenHouse, Slack, and AI-powered experiences. This role requires someone who is comfortable moving between strategy, technical design, and team leadership. You should understand People systems deeply, be able to work through integration and architecture decisions with engineers, and translate complex organizational needs into scalable solutions. You will also manage vendor relationships, develop the People Systems team, and drive alignment across People, Engineering, Finance, Security, Legal, and other partners. This role could be a fit for someone who has grown up in People S

About the Team We are a small and fast-moving partnerships team that shapes and executes OpenAI’s most important collaborations. Your mission is to build and grow partnerships across the cybersecurity ecosystem. Reporting to the Cybersecurity Partnerships Lead, you will own a portfolio of cybersecurity technology partners and help them validate, launch, and scale solutions powered by OpenAI models and platforms. About the Role You are an experienced partnerships operator who combines business development, partner management, technical curiosity, and strong execution. You can manage external relationships while driving detailed cross-functional work across product, engineering, technical success, sales, marketing, legal, security, and operations. You move with urgency, follow through consistently, and are comfortable managing a portfolio in a fast-changing market. In this role, you will: Source, close and manage a portfolio of cybersecurity technology partners. Identify high-value use cases across security operations, identity, cloud security, application security, threat intelligence, governance, risk, and compliance. Develop partner plans covering integration, launch, enablement, co-marketing, co-sell, and growth. Support partnership structuring and coordinate product, technical, commercial, legal, and security workstreams. Help partners move from concept and technical validation to production launch and scaled customer adoption. Run regular partner reviews, track commitments, resolve blockers, and identify expansion opportunities. Coordinate closely with product, engineering, technical success, sales, marketing, legal, security, and operations. Measure partner pipeline, launches, model adoption, consumption, customer outcomes, and partner health. You might thrive in this role if you have: 8+ years of experience in partnerships, business development, alliances, partner success, or ecosystem roles. Experience in cybersecurity, enterprise software, cloud platforms, o

About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking a senior lawyer to participate in commercial legal strategy and execution across OpenAI’s fast-growing infrastructure portfolio. This is a cross-functional role that will partner closely with procurement, supply chain, partnerships, finance, and product teams to structure, negotiate, and manage the transactions that will support OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced infrastructure transactions lawyer who thrives in ambiguity and wants to help define the commercial playbook for infrastructure efforts in the AI era. This role reports to the Associate General Counsel for infrastructure. 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: Own commercial legal strategy and risk management for OpenAI infrastructure transactions. Draft, negotiate, and advise on complex agreements with infrastructure suppliers, manufacturers, distributors, and technology partners. Support strategic partnerships involving AI infrastructure and hardware supply chains. Develop frameworks for procurement, licensing, and collaboration across the infrastructure ecosystem. Partner with finance and operations teams to align contract terms with business and compliance requirements. Collaborate with policy and regulatory colleagues on issues impacting global supply chains, export controls, and manufacturing. Build scalable, efficient contracting process

About the Team The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT Store, Codex, and the OpenAI API. About the Role We are looking for a Research and Advisory Partnerships Lead to build and manage the relationships, partnerships, and advisory structures that bring independent external expertise into our product and policy decisions. 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 identify and engage researchers, civil society organizations, subject-matter experts, and other external stakeholders whose perspectives can strengthen how we develop and deploy AI. You will establish and manage advisory councils, develop research partnerships with the academic community, and work closely with internal teams to translate external insights into actionable guidance. This role sits at the intersection of product, policy, research, and governance. It is well suited to someone who is comfortable building relationships across disciplines and designing processes that ensure outside expertise meaningfully informs internal decision-making. This role can be based in San Francisco or New York City. 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: Develop, launch, and manage external advisory councils and other governance mechanisms that provide structured input on product and product policy. Build and maintain relationships with external experts, researchers, civil society organizations, and other stakeholders who can inform high-priority product and product policy decisions. Identify when external consultation can improve internal decision-making, and develop engagement strategies tailored to specific products, policy questions, and emer

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Sales team partners closely with customers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role As an Agency Partner, you will be responsible for driving new and expanded advertising revenue through strategic relationships with leading agency holding companies.. You will help agencies and their clients leverage OpenAI’s platform to connect with highly engaged audiences in innovative and responsible ways. This role is focused on building and growing agency partnerships that unlock opportunities across a broad portfolio of advertisers. You will own the agency partnership strategy—from executive relationship development and joint business planning to agency education and portfolio activation—establishing OpenAI as a trusted partner and driving sustained adoption and revenue growth across agencies and their clients. You’ll partner closely with Client Partners, Account Managers, and cross-functional teams to coordinate agency engagement, identify priority advertiser opportunities, and ensure consistent execution across your agency portfolio. This role is based in our New York City office, and candidates are expected to work from the office three days per week. In this role, you will: Develop and execute strategic agency partnership plans that increase adoption, unlock advertiser investment, and drive revenue growth across agency holding companies and independent agencies. Develop and execute strategic agency plans that drive advertiser adoption, client ROI, and long-term revenue growth. Build and maintain relationships with senior agency decision-makers across investment, strategy, planning, innovation, data, commer

About the Team OpenAI Finance helps ensure the organization is positioned for long-term success as we pursue our mission. The Strategic Sourcing & Procurement team enables OpenAI to scale responsibly, securely, and at speed by helping teams choose the right external partners, structure strong commercial agreements, and build resilient supplier ecosystems. We work at the intersection of innovation and execution, partnering closely with leaders across the company to turn rapidly evolving needs into scalable, compliant, and economically sound solutions. Professional services are a critical source of specialized expertise, capacity, and operational leverage across OpenAI. Our work spans consulting and advisory services, finance and accounting, legal, people and talent, managed services, and other enterprise capabilities. Done well, sourcing becomes a source of trust and momentum—helping teams move faster with the right partners, clearer outcomes, stronger economics, and appropriate safeguards. About the Role We are seeking a Strategic Sourcing Lead to own and execute OpenAI’s category strategy for Professional Services. This is an experienced individual-contributor role for a high-velocity, hands-on sourcing operator who can set category priorities, own complex work end to end, exercise sound judgment, influence senior stakeholders, and build scalable category mechanisms in a rapidly growing organization. You will turn incomplete information, shifting priorities, and unclear decision paths into practical next steps and disciplined execution. You will manage a broad portfolio of services engagements—from strategic advisory relationships and enterprise programs to high-volume statements of work. Partnering directly with leaders across Finance, Accounting, Legal, People, Extended Workforce, and business teams, you will set category priorities and translate needs into clear sourcing strategies, executable engagement models, and measurable outcomes. You will operate inde

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

About the Team The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross team partnerships across Engineering, Applications, Finance, and Supply Chain. About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. The Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role should improve team judgment and autonomy rather than act as a floating architect or universal approval gate. In this role, you will: Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments. Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone. Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership. Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership. Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement. Work across backend, full-stack, data, and big-d

About the role We are building a higher education researcher motion that helps funded labs adopt OpenAI across core research workflows. This role will develop relationships with principal investigators, researchers, research software engineers, research computing teams, and university technology leaders, then translate high-value use cases into sustained Pro, Codex, API, and ChatGPT Edu usage. This is a hybrid business development and program management role. You will identify and qualify priority labs, design phased access and fellows programs, run pilots, remove technical and institutional blockers, and create repeatable paths from individual researchers to lab- and institution-level adoption. Additionally, this role will launch and manage a community of researchers with events, communications and support. In this role, you will: Build a pipeline of funded labs, research centers, and technical champions at priority R1 universities; qualify opportunities based on workflow value, funding path, influence, and expansion potential. Run discovery with researchers and university stakeholders to understand workflows, data and security needs, procurement constraints, and success criteria. Design and operate phased access and fellows programs, including eligibility, selection, offer mechanics, onboarding, office hours, community programming, and pilot goals. Translate research workflows into effective use of Pro, Codex, API, and ChatGPT Edu in partnership with Solutions, Product, and Education account teams. Manage pilots end to end, remove trust, funding, and technical blockers, and drive measurable activation, retention, and expansion. Turn early usage into product feedback, workflow documentation, peer proof, case studies, and repeatable enablement. Build clear handoffs and expansion paths from researcher to lab to institution; track fellow selection, activation, retained usage, workflow proof, conversion, and expansion. You might thrive in this role if you: Relevant exp

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. 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. As OpenAI’s products, monetization models, and global infrastructure expand, our tax systems must scale with the same rigor and reliability as our product architecture. The team partners deeply with Financial Engineering, Product Engineering, and Finance Systems to build a modern tax technology stack that enables accurate, real-time tax determination across OpenAI’s global business. About the Role We're hiring a Director, Tax Infrastructure & Incentives to lead OpenAI's global tax infrastructure strategy supporting AI infrastructure expansion programs. You will own the tax strategy supporting data center development, site selection, infrastructure investments, and government incentive programs across. This role extends far beyond traditional property tax planning and reporting - you will help shape where and how OpenAI invests billions of dollars in AI infrastructure by partnering with executive leadership, infrastructure teams, governments, utilities, and external stakeholders. You will build scalable frameworks for negotiating and managing tax incentives, property tax, indirect tax, and infrastructure-related tax matters while developing repeatable processes that enable OpenAI to expand rapidly across multiple jurisdictions. You will also establish the governance, reporting, and operational infrastructure required to support long-term compliance, financial reporting, and executive

About the Team The Procurement organization enables OpenAI's mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. Within Procurement, the Center of Excellence (COE) team is responsible for designing and scaling the processes, systems, governance, and operating models that enable Procurement to grow effectively alongside the business. This role partners closely with Procurement and cross-functional teams to simplify how work gets requested, routed, approved, and managed across the spend lifecycle. By combining program leadership, process design, and change enablement, we help Procurement scale while maintaining strong controls and delivering an exceptional experience for employees and business partners. About the Role As Procurement Portfolio & Delivery Lead, you will lead complex, cross-functional initiatives that span Strategic Sourcing, Procure-to-Pay (P2P), Extended Workforce, Travel & Expense, Corporate Card, Risk, Legal, Finance, and Technology teams. You will not only drive project and program execution, but also actively contribute to solution design, requirements development, process optimization, testing, rollout planning, and stakeholder alignment. This is a highly collaborative role for someone who thrives in fast-moving environments, can bring structure to ambiguity, and is equally comfortable facilitating executive discussions, building project plans, and rolling up their sleeves to help move initiatives forward. 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: Lead cross-functional procurement transformation programs spanning Strategic Sourcing, P2P, Extended Workforce, T&E, Corporate Card, Risk, and Procurement Systems. Develop and maintain the Procurement transformation roadmap, partnering across teams to identify opportunities, prioritize initiatives, map dependencies, sequence work

About the Team The Coding team is reimagining how software is built in the AI era. We build tools and workflows that help software engineers work faster, tackle more ambitious projects, and spend less time on repetitive tasks. AI has already transformed how code is written, but software engineering extends far beyond coding. Our mission is to apply AI across the entire software development lifecycle (SDLC) — from design and implementation to code review, testing, debugging, issue remediation, maintenance, documentation, and user support. The team is also responsible for developer-facing Codex experiences including the Codex IDE Extension and the terminal interface, which are used daily by developers ranging from individual open-source contributors to some of the world’s largest engineering organizations. The team also works closely with the open-source software community, building tools that help maintainers and contributors manage increasingly complex projects. We believe AI can make open-source development more sustainable by reducing the operational burden of reviewing contributions, triaging issues, maintaining quality, and supporting growing communities. By building the future of software development, we're helping advance OpenAI's mission of ensuring that the benefits of AI reach people around the world. About the Role We’re hiring a Full Stack Software Engineer to help invent the next generation of AI-powered software development workflows. “Full stack” in this role means much more than traditional frontend and backend development. You'll own complete product experiences, spanning user interfaces, workflow orchestration, agent and prompt design, backend systems, and cloud infrastructure. This is a highly product-oriented role. You'll work directly on the workflows developers use every day, identifying bottlenecks and rethinking how software gets built in a world where AI agents are active participants in the development process. The features you ship will inf

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth. About the Role The Software Engineer, Operating Systems & Orchestration will focus on building systems to manage hardware, configurations, vendors, and the people interacting with our infrastructure. You will design and develop solutions that integrate individual nodes and servers into unified clusters, directly contributing to advancing AI research by streamlining the overall research user experience. 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: Design and build systems to manage both cloud and bare-metal fleets at scale. Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms. Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows. Automate infrastructure processes, reducing repetitive toil and improving system reliability. Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack. Continuously improve tools, automation, processes, and documentation to enhance operational efficiency. You might thrive in this role if you: Have strong software engineering skills with experience in large-scale infrastructure environments. Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers). Have deep expertise in server-level systems (e.g., systems, containerization, Chef,

About the Team Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference. About the Role We are looking for an engineer who wants to take the world's largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment. In this role, you will: Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production. Work alongside researchers to enable advanced research through awesome engineering. Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack. Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues. Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware. You might thrive in this role if you: Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference. Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done. Have at least 5 years of professional software engineering experience. Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc. Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems. Have need