Openai jobs

Strategic Risk Analyst, Behavioral & Psychological Risk San Francisco, California, United States About the team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. We are building a horizontal “radar” for AI abuse and strategic risk-correlating internal signals, external intelligence, and real-world events into clear, actionable priorities for OpenAI's safety and product decision-makers. About the Role As a Strategic Risk Analyst, Behavioral & Psychological Risk , you will bring deep expertise in human behavior to our central view of risk across OpenAI's products and platforms. You will analyze how users think, feel, and behave in interaction with AI systems-especially in high-risk contexts such as self-harm, manipulation, coercion, and influence-and translate these insights into decision-ready risk assessments, mitigation strategies, and product guidance . This role bridges clinical/behavioral expertise and intelligence analysis , turning psychological signals and patterns into structured judgments, early indicators, and actionable recommendations. A key part of this role is proactively identifying where analytical insight is most needed, anticipating emerging product, policy, and safety questions, and focusing efforts on analyses that shape critical decisions. You will partner closely with investigators, engineers, policy, and trust & safety teams to shape how we understand and mitigate potential risks in

Product Manager, Bio Safety San Francisco, California, United States About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI's frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives-from system-level safeguards and model training to evaluation and red-teaming-all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI's benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on biosecurity risk. In this role, you will drive initiatives which ensure that OpenAI's frontier model deployments are safe, impactful, and aligned with user needs and technical innovation in your respective space. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. You will also create a plan to uplift the ecosystem, accelerating others to outpace adversaries. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with research, engineering, data science, policy teams, and other stakeholders to

Software Engineer, Cloud Agents San Francisco, California, United States About the Team The Cloud Agents team builds product infrastructure for long-running agents in the cloud: orchestration, sandboxing and isolation, secure environment connectivity, secrets and identity, observability, reliability, and cost controls. These agents securely connect to diverse developer and customer environments and use tools to accomplish goals. We partner closely with product, research, and infrastructure teams to turn agentic capabilities into dependable platforms for OpenAI products and developers building on OpenAI. About the Role We are looking for an experienced software engineer to help build and scale our cloud agent platform. You will design and operate systems for orchestrating agents at scale. You will work closely with product engineers on ChatGPT, API, and Codex to define the right abstractions and enable them to ship products quickly. Strong backend or infrastructure experience is important; experience with Python, Rust, distributed systems, cloud infrastructure, or product platforms is especially helpful. In this role, you will: - Design and scale the orchestration, sandboxing and storage systems that run agentic workloads for Codex, ChatGPT, and the OpenAI API. - Partner with product engineers to build a platform that enables them to ship quickly and turn feedback into robust abstractions. - Improve reliability, security, performance, and cost efficiency for long-running agents. - Deploy services that can operate across different environments and clouds. Your background might look something like: - 9+ years of professional engineering experience, excluding internships, in relevant roles at technology and product-driven companies. - Experience

Agentic AI Engineer Gurugram, Haryana, India Agentic AI Engineer

Manufacturing Test Engineer, AI Compute Infrastructure - Stargate Remote - US, United States About the Team OpenAI's Stargate organization is building the physical infrastructure required to power frontier AI systems at massive scale. The team operates across the full lifecycle of infrastructure development and operations - from hardware, manufacturing, and partner readiness through deployment, bring-up, and sustained production operations. That end-to-end ownership model is a core part of how Stargate is being built. This is not a traditional, heavily layered hardware organization. Stargate is intentionally staying lean and is optimizing for hands-on operators who can work across design, manufacturing, and deployment boundaries, influence partners quickly, and prevent operational issues before they become system-level failures. About the Role As a Manufacturing Test Engineer on Stargate, you will own the development of manufacturing test strategies, tools, and execution practices for critical AI infrastructure hardware. You will work at the intersection of hardware engineering, manufacturing partners, infrastructure systems, and deployment teams to ensure that hardware shipped into OpenAI environments is testable, reliable, and production-ready at scale. In this role, you will translate product and system requirements into manufacturing test coverage, drive the design of test stations and automation, and partner closely with suppliers and contract manufacturers to identify, root-cause, and eliminate yield issues and field escapes. This role is especially important in an environment where OpenAI depends on external partners and needs technical operators who can independently verify quality, challenge assumptions, and enforce repeatable, controlled execution. Key Responsibilities - Develop and deploy manufacturing

AI Tutor - Norwegian Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

US Payroll Operations San Francisco, California, United States About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. OpenAI's Payroll team is responsible for timely and accurate processing of payroll and ensuring compliance with all statutory regulations. About the Role At OpenAI, payroll is not a back-office function - it is mission-critical infrastructure. We are seeking a seasoned US Payroll Operations expert to scale, and continuously improve the payroll and payroll-support ecosystem that serves one of the fastest-growing and most technically sophisticated organizations in the world. 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: - Process biweekly payrolls for 5,000+ US employees, ensuring accurate and timely payroll delivery for exempt and non-exempt populations while maintaining compliance across federal, state and local regulations. - Support payroll activities related to mergers & acquisitions, including final payroll processing, tax account closures, W-2 reporting, payroll record retention, compliance requirements and payroll integration or wind-down activities. - Lead day-to-day workflows with outsourced payroll/BPO partners to ensure SLAs are met, quality standards are upheld and identify opportunities to improve quality, efficiency and controls. - Deliver exceptional employee support by resolving payroll inquiries with a strong service mindset, ensuring clear communication, timely resolution and adherence to established SLAs. - Drive continuous process improvement through automation, AI-enabled solutions, workflow redesign and

Machine Learning Engineer Remote-Germany posted: Posted 10 Days Ago

Systems & Enablement Lead, Recruiting Operations Singapore About the Team At OpenAI, we are dedicated to building safe artificial general intelligence (AGI) to benefit all of humanity. Our mission attracts the world's top talent across research, engineering, product, policy, and operations. OpenAI's Recruiting Operations (RecOps) team provides the systems, workflows, and data foundation that power hiring at OpenAI. Within RecOps, the Systems & Enablement function owns the recruiting technology ecosystem-ensuring our ATS, offer workflows, and connected tools are reliable, well-governed, and user-centric. About the Role We are seeking a Systems & Enablement Lead, Recruiting Operations who will own high-impact operational support across recruiting workflows. This person will own intake, triage, enablement, service health, and day-to-day support across recruiter and coordinator workflows, while partnering closely with People Systems on issues that require system configuration, controls, or integration changes. This is an operations role focused on making recruiting workflows usable, well-supported, and scalable. You will help ensure support requests are routed well, documentation stays current, approvals move cleanly, recurring issues are surfaced early, and operational pain points turn into durable improvements. Your Responsibilities: - Owning recruiter facing intake and triage for operational support requests across recruiting workflows. - Designing and running support mechanisms such as queues, channel triage, SLA management, escalation paths, and service health reviews. - Owning enablement for operational workflow changes, including documentation, training, office hours, and change communication. - Supporting offer approval and other sensitive recruiting workflows through clear coordination, followthrough, and exception handling. - Identifying recurring support themes

AI Tutor - Turkish Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances. RESPONSIBILITIES: - Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. - Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and

OpenShift Infrastructure - Senior Consultant 51 Locations posted: Posted 10 Days Ago

Senior AI Automation Engineer 2 Locations posted: Posted 7 Days Ago

Strategic Finance Generalist San Francisco, California, United States About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role We are hiring a Strategic Finance Generalist to help drive strategic decisions for OpenAI across a variety of areas, including board engagements, strategic & commercial transactions, capital markets activities, and supporting OpenAI's M&A activities. 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: - Support critical corporate finance processes, including Board reporting and evolving our long-term forecasting models to support decision-making around expansion and operational strategies. - Support strategic project work spanning transactions, capital markets activities, market research, new business model evaluations, and other business critical initiatives. - Create high-quality presentations for communicating OpenAI's financial performance. - Distill our business and cost drivers into key metrics that underpin how we communicate financial performance, allocate resources, and plan for growth. - Identify areas of opportunity across our P&L, cash flow and balance sheet. - Stay current on market trends and best-in-class financial performance benchmarks. - Working closely with our Accounting and Corporate Finance teams to build and evolve our financial reporting as well as finance team operations. You might thrive in this role if you have: - 8+

Sr Staff, AI Engineer India - Bengaluru - Manyata posted: Posted Yesterday

Strategic Business Development Representative - EMEA (French Speaking) Dublin, Ireland, Dublin, Leinster, Ireland About the Team OpenAI's Enterprise Go-To-Market organization helps the world's largest companies adopt and scale our AI platform across their business, from ChatGPT Enterprise to our developer platform and APIs. We partner with organizations across Financial Services, Life Sciences, and Retail to build new AI-powered customer experiences, transform operations, and reimagine how work gets done in highly regulated and technically complex environments. As adoption accelerates through pilots, experimentation, and developer-led use cases, the GTM team turns that momentum into durable, enterprise-wide deployments. Business Development sits at the front of this motion, where technical curiosity turns into executive engagement, and early product signals become enterprise-wide deployments. About the Role This role is designed as a launchpad for future sellers at OpenAI. This is a highly strategic role with significant exposure to enterprise sales, product, and customer strategy. You'll develop core skills in discovery, stakeholder mapping, deal shaping, and executive communication while building a deep understanding of how leading companies adopt AI. We are looking for individuals with 4-6+ years of professional experience who are motivated to grow into world-class enterprise sellers over time. While many individuals in this role go on to become Account Directors or take on broader GTM roles, progression is based on performance and business needs rather than a fixed timeline. For the right person, this is one of the most accelerated paths to break into sales at OpenAI and build a long-term career in

Machine Learning Engineer UK_London2 posted: Posted 30+ Days Ago

Technical Intelligence Analyst San Francisco, California, United States About the Team The Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe online ecosystem. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal and external partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits humanity. The Strategic Intelligence & Analysis (SIA) team provides safety intelligence for OpenAI's products by monitoring, analyzing, and forecasting real-world abuse, geopolitical risks, and strategic threats. Our work informs safety mitigations, product decisions, and partnerships, ensuring OpenAI's tools are deployed securely and responsibly across critical sectors. About the Role As a Technical Intelligence Analyst, you will produce scaled, rapid risk analysis to generate structured and decision-ready intelligence. You will design and support analytical workflows to help the team identify, validate, and prioritize risks. You will surface novel harms and abuse patterns using an ensemble of technical tools and discovery methods. In addition, you will scale recurring intelligence workflows to help analysts prioritize information quickly and efficiently. You will help turn recurring intelligence workflows into reusable frameworks, dashboards, AI-assisted workflows, and rapid analysis tools. You will design and implement lightweight technical solutions to help analysts synthesize raw signals into actionable insights at greater scale. This role is based in San Francisco, CA (hybrid, 3 days/week). Relocation support is available. In this role, you will: - Design and maintain analytical tools,

Global Safety Response Operations Analyst San Francisco, California, United States About the Team At OpenAI, our Trust, Safety & Risk Operations teams safeguard our products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety working closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners to ensure our platforms are safe, compliant, and trusted by a diverse, global user base. The Global Safety Response Operations team within the org provides 24/7 coverage for user safety, risk, and regulatory escalations across OpenAI's products, handling the highest-priority cases that require human judgment and rapid response. The team operates as the core escalations management and delivery arm of OpenAI's safety operations, ensuring that our products remain safe and aligned with our policies while enabling timely, empathetic, and consistent user support. About the Role We're looking for experience Trust, Safety, and Risk Operations analysts who have subject matter expertise in one or more of the following areas: policy enforcement and content moderation, fraud and scam prevention, developer risk, or privacy and regulatory escalations. You'll be on the front lines of safety escalation management, helping to triage and resolve urgent and sensitive cases. You'll work across subject matter areas, systems, and processes to ensure operational excellence, develop process improvements and automations, and surface insights and trends. This is a 24/7 global operation that requires flexibility to work rotating shifts, including nights, weekends, and holidays, as part of an

Senior AI Research Scientist Remote - Germany posted: Posted Yesterday

Senior AI ML Solution Engineer, AI-Native Development Israel, Tel Aviv posted: Posted 30+ Days Ago

Product Manager, Cyber Safety San Francisco, California, United States About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI's frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives-from system-level safeguards and model training to evaluation and red-teaming-all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI's benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. About the Role We are hiring a Product Manager to focus on cybersecurity risk. In this role, you will drive initiatives which ensure that OpenAI's frontier model deployments are safe, impactful, and aligned with user needs and technical innovation in your respective space. You will clarify strategic priorities, develop safety-focused product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. You will also create a plan to uplift the ecosystem, accelerating others to outpace adversaries. This role suits a proactive, technically skilled product manager adept at adversarial thinking and excited to tackle challenging, ambiguous problems through structured analysis and collaborative decision-making. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Partner closely with research, engineering, data science, policy teams, and other stakeholders to

Machine Learning Engineer- GenAI Cupertino, United States of America Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data. Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences

Compensation Analyst, Equity & Executive Compensation San Francisco, California, United States About the Team OpenAI's Equity Programs and Compensation teams design and support compensation frameworks that help attract, retain, and motivate exceptional talent as we pursue our mission of ensuring artificial general intelligence benefits all of humanity. Together, these teams build thoughtful, scalable programs across cash and equity compensation, grounded in strong governance and disciplined stewardship. Partnering closely with Finance, Legal, and People leaders, the teams develop competitive compensation programs and equity frameworks that align our people with OpenAI's long-term success. About the Role We are hiring a Compensation Analyst, Equity and Executive Compensation to join OpenAI's People team. This individual contributor role sits at the intersection of compensation, analytics, and finance, supporting thoughtful pay decisions through rigorous modeling, benchmarking, reporting, and decision support, with a focus on equity and executive compensation programs. You will own key cross-functional analytical projects that inform compensation design, pay recommendations, budgets and forecasts, grant sizing, equity usage, dilution, and stock-based compensation considerations. You will navigate ambiguous problems, build repeatable tools and processes, and translate complex, sensitive data into clear recommendations and executive-ready materials. This role is ideal for someone with strong compensation fundamentals, analytical depth, sound judgment, and a collaborative approach to solving complex, sensitive problems. This role reports to our Head of Equity Programs. In this role you will: - Support pay design for new-hire, refresh, promotion, recognition, retention, and executive programs through quantitative analysis and thoughtful recommendations. - Build and maintain analytical

Staff Machine Learning Engineer United States (Remote) Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world's leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world's leading investors, including a16z, Greylock, and Sequoia. Cresta's leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include: - Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems. - Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance