Creative Copywriter at OpenAI | San Francisco

Join Our Innovative TeamAt OpenAI, our Applied team is dedicated to responsibly delivering cutting-edge technology to the world. We have launched transformative tools like ChatGPT, DALL·E, and APIs for GPT-4 and GPT-3, alongside managing large-scale inference infrastructure. As we continue to innovate, we are committed to ensuring our powerful tools are utilized ethically and safely.The Scaled Abuse team operates within our Applied Engineering organization, tackling fraudulent activities on our platform. We are seeking a passionate Data Scientist with expertise in anti-fraud and abuse measures to spearhead the design and development of our next-gen anti-abuse systems.Your RoleAs a Data Scientist on the Platform Abuse team, you will play a pivotal role in safeguarding OpenAI’s products from exploitation. Your responsibilities will include identifying and addressing emerging misuse patterns and enhancing our detection methods. This is an exciting opportunity, as we anticipate that many future abuse strategies have yet to be conceived.Primary Responsibilities:Develop and implement systems for fraud detection and resolution, ensuring a balance between fraud loss, implementation costs, and customer experience.Collaborate with finance, security, product, research, and trust & safety teams to effectively combat fraudulent activity on our platform.Keep updated with the latest tools and techniques to stay ahead of sophisticated adversaries.Leverage advanced models such as GPT-5 to enhance our fraud and abuse countermeasures.Ideal Candidate:Experience working within a highly technical trust and safety team, or closely with policy, content moderation, or security teams.Proficiency in programming languages (Python preferred) for exploratory data analysis and deriving actionable insights.Demonstrated ability to propose, design, and conduct rigorous experiments (A/B tests, quasi-experimental designs, etc.) to validate findings.

About the TeamThe Applied Foundations team at OpenAI is focused on ensuring our innovative technology remains secure against a range of adversarial threats. We are committed to safeguarding the integrity of our platforms as they expand. Our team plays a crucial role in defending against financial abuse, large-scale attacks, and various forms of misuse that could compromise user experience or operational stability.The Integrity pillar within Applied Foundations is tasked with developing robust systems that identify and respond to harmful actors and activities on OpenAI’s platforms. As these systems evolve to address significant usage harms, we are seeking skilled data scientists to accurately measure the prevalence of these issues and assess the effectiveness of our responses.About the RoleWe are in search of experienced trust and safety data scientists who can enhance, operationalize, and oversee the measurement of complex actor- and network-level harms. The selected data scientist will be responsible for measurement and metrics across various established harm verticals, including estimating the prevalence of on-platform (and occasionally off-platform) harm, while also conducting analyses to uncover gaps and opportunities in our responses.This position is based in our San Francisco or New York office and may require addressing urgent escalations outside of regular working hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise disturbing material.In this role, you will:Lead measurement and quantitative analysis for a range of severe, actor- and network-based usage harm verticals.Develop and apply AI-first methodologies for prevalence measurement and other standardized safety metrics, potentially incorporating off-platform indicators and non-traditional datasets.Create metrics that can be utilized for goal-setting or A/B testing where traditional prevalence or top-line metrics may not apply.Manage dashboards and metrics reporting for harm verticals.Perform analyses and generate insights to guide improvements in review, detection, and enforcement processes, while influencing strategic roadmaps.Optimize LLM prompts specifically for measurement purposes.Collaborate with other safety teams to identify key safety issues and develop relevant policies to address safety needs.Provide metrics for leadership to support informed decision-making.

About the RoleJoin our dynamic team at OpenAI as a Data Scientist within the People Innovation Labs. This innovative engineering team is integrated into our People organization and is dedicated to redefining our strategies for attracting and retaining exceptional talent while empowering every individual to excel in their roles.From enhancing recruitment processes to fostering a vibrant company culture, we are developing systems and products that provide our People Team with a competitive advantage by integrating OpenAI's models and first-principles thinking into all facets of our operations. Our initiatives range from pioneering projects like OpenHouse, our internal knowledge hub, to AI-driven automations and scalable recruiting solutions. We are shaping the future of work at OpenAI, crafting a model for how AI can enhance productivity, culture, and innovation.In this role, you will collaborate closely with Product and Engineering teams to ensure that our endeavors yield measurable business results.

About Our TeamThe B2B product team at OpenAI is pioneering systems that enhance and automate business operations through AI collaboration. Our mission is to empower companies to achieve over $1 billion in revenue with teams fewer than five by utilizing AI agents and automation. We are creating the infrastructure, products, and analytical tools necessary for organizations to deploy fleets of AI agents, streamline workflows, and significantly boost employee productivity. This team is at the forefront of shaping the future of work, defining how humans and AI systems collaborate across various workflows and knowledge domains.Role OverviewWe seek a product-oriented Data Scientist to influence the development of the next generation of AI-driven enterprise products, including ChatGPT Enterprise and automation solutions. This role transcends traditional analytics; you will collaborate directly with product managers, engineers, and researchers to shape AI agent behavior, facilitate organizational adoption, and assess their impact on productivity.In this position, you will:Work closely with product, engineering, and research teams to enhance AI-powered enterprise solutionsEstablish metrics and frameworks for measuring AI agent performance, automation workflows, and enterprise integrationExamine organizational usage of AI tools and pinpoint opportunities for enhancing product experiences and business outcomesGenerate insights regarding enterprise adoption, customer retention, and value realizationGuide product decisions concerning agent orchestration, enterprise workflows, and AI productivity enhancementsDesign experiments and evaluations to optimize AI system performance and user outcomesContribute to defining how organizations function with AI coworkers and automated processesWhat We SeekEssential Qualifications:Robust experience in product analytics or data scienceA keen interest in AI systems and their transformative effects on work methodologiesProven ability to collaborate effectively with product and engineering teams in early-stage product developmentStrong analytical capabilities, including experimentation, behavioral analysis, and product metricsA proactive, builder mindset with a focus on innovation and results

Join Our Integrity TeamAt OpenAI, our Integrity team is committed to safeguarding our innovative technologies against various adversarial threats. As we advance our platforms, we prioritize their integrity and security.We are at the forefront of defending our systems against financial exploitation, large-scale attacks, and other forms of misuse that could compromise user experience and operational stability.Your Role as a Machine Learning EngineerAs a Machine Learning Engineer in OpenAI's Applied Group, you will collaborate with some of the brightest minds in AI. Your mission will be to deploy cutting-edge models in production environments, transforming research breakthroughs into practical solutions that enhance the safety and trustworthiness of our platform. If you’re passionate about fine-tuning LLMs and developing machine learning models, this position offers you a chance to make a significant impact.Key Responsibilities:Innovate and Deploy: Design and implement advanced machine learning models that address real-world challenges. Translate OpenAI’s research from ideation to execution, crafting AI-driven applications with a measurable impact.Collaborate with Experts: Partner closely with researchers, software engineers, and product managers to tackle complex business problems and deliver AI-enhanced solutions. Be part of an energetic team where creativity flourishes.Optimize and Scale: Create scalable data pipelines, enhance model performance and accuracy, and ensure readiness for production. Contribute to projects that leverage state-of-the-art technology and innovative methodologies.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share insights, and lead by example to uphold high engineering standards.Make a Difference: Oversee and maintain deployed models to ensure they consistently deliver value. Your contributions will significantly influence the positive impact of AI on individuals, businesses, and society.

Join Our Dynamic TeamAt OpenAI, the Strategic Finance team plays a pivotal role in driving substantial investment initiatives. We are dedicated to enhancing OpenAI's long-term success by collaborating across departments to strategically allocate resources for maximum impact. Our team works closely with Finance, Product, Engineering, and Go-To-Market divisions to provide critical insights and support strategic decisions that shape the future of our company.Your Role and ResponsibilitiesAs a key member of the Strategic Finance Data Science team, you will be instrumental in designing, developing, and managing essential models, reporting systems, and analytical frameworks. Collaborating with Finance leadership and interdisciplinary teams, you will leverage your expertise in predictive modeling and causal inference to deliver actionable insights that inform high-stakes decision-making.This position is based at our San Francisco headquarters, adopting a hybrid work model with three days in the office each week. We also offer relocation assistance to new hires.Your Key Contributions Will Include:Deeply understanding OpenAI’s data architecture and collaborating with Data Engineering and Finance teams to extract valuable insights.Developing and scaling causal inference models to evaluate the effects of various strategies on user growth and financial performance.Creating customer segmentation strategies to drive targeted growth initiatives and enhance customer lifetime value.Automating reporting and analyses through innovative data products and agentic solutions.Conducting ad hoc analyses to support product pricing and other key business decisions.Designing and presenting dashboards that empower leadership to monitor key performance indicators and make informed decisions.Leading cross-functional data science projects from inception to completion, ensuring timely and impactful delivery.Ideal Candidate Profile:Master's or PhD in a quantitative discipline, with a minimum of 7 years of experience in a data-centric role, preferably in a fast-paced, high-growth environment.Proficient in Python, SQL, Tableau, and other analytical tools.Strong analytical prowess with experience in managing and interpreting large, intricate datasets.Proven ability to translate complex data into clear, actionable insights.

About Our TeamJoin our dynamic infrastructure team at OpenAI, where we are dedicated to delivering cutting-edge AI models and products to a global audience. Our mission is to scale our infrastructure effectively, transforming demand into efficient computing power. We collaborate with experts in research, engineering, design, and business to translate innovative AI developments into impactful real-world solutions. Our team ensures optimal computing resources are available at the right time and place, supporting some of the most demanding workloads globally. By empowering OpenAI's products and research with robust infrastructure, we enable reliable and scalable launches of new models and products.About the RoleAs a Data Scientist within the Infrastructure team, you will be instrumental in shaping the scalable framework that underpins OpenAI’s products and research initiatives. Operating one of the largest and most sophisticated compute fleets worldwide, your role is crucial in supporting millions of users and businesses. You will align metrics, planning, scalability, allocation, and efficiency of infrastructure to ensure measurable impact across the organization.In this role, you will define foundational datasets for infrastructure resources, develop insightful metrics that inform key decisions, build forecasting and optimization models, and create source-of-truth dashboards and analytics that empower teams to enhance infrastructure utilization. You will collaborate closely with engineering, research, and product teams to help drive the infrastructure strategy that supports all OpenAI initiatives.This position is based in San Francisco, CA, and follows a hybrid work model of three days in the office each week. We also provide relocation assistance for new team members.Key Responsibilities:Develop and maintain key datasets and metrics that accurately reflect infrastructure usage, efficiency, and growth.Create forecasting and optimization models to enhance infrastructure planning and resource allocation.Collaborate with engineering, research, and product teams to inform infrastructure strategies through data-driven insights.Deliver clarity through dashboards and analyses that guide infrastructure decision-making across OpenAI.You Will Excel in This Role If You Possess:A minimum of 5 years of experience in a quantitative position, adept at navigating complex, ambiguous environments, preferably within infrastructure, systems, or platform domains in high-growth companies or research organizations.Proven experience in defining and operationalizing data-driven strategies and metrics.

About the RoleJoin our dynamic team as a Product Designer in People Innovation Labs at OpenAI. This engineering group is dedicated to revolutionizing talent acquisition and retention while empowering everyone to excel in their work.Our mission ranges from redefining recruitment processes to enhancing workplace culture through innovative systems and products. By integrating OpenAI's advanced models and fundamental principles into our workflows, we deliver a competitive advantage to our People Team. Our initiatives include pioneering projects like OpenHouse, our internal knowledge hub, alongside AI-driven automation and scalable recruitment tools. We are shaping the future of work at OpenAI, establishing a framework for AI to enhance productivity, culture, and innovation.In this position, you will work closely with Product and Engineering teams to ensure our efforts yield measurable business results.Your Responsibilities:Shape the design and product strategy for internal People products at OpenAI.Develop and launch high-quality products and enhancements, from initial concepts to refined prototypes.Collaborate with engineering, product management, AI research, and design colleagues to define both long-term vision and immediate goals.Conduct user research to gain insights into user needs and improve our products.Contribute to the ongoing evolution of our design system.Foster our design culture and support team growth.Ideal Candidate:Possesses 4+ years of experience delivering large-scale software products.Demonstrates a portfolio that highlights exceptional UX, UI, and interaction design skills with a commitment to quality.Enjoys unraveling complex interaction design challenges.Exhibits strong communication and storytelling capabilities.Thrives in ambiguous situations, transforming challenges into clear visions.Is enthusiastic about immersing in the AI research process to define the design and functionality of AI-first products.

OpenAI is hiring a Field Engineer in San Francisco. This position centers on bringing advanced AI solutions into practical use across a range of industries. Role overview Field Engineers at OpenAI work directly with clients to implement AI technologies in real-world environments. The role involves hands-on problem solving and adapting solutions to meet client needs. Key responsibilities Collaborate with clients to understand technical requirements and goals Troubleshoot and resolve complex technical issues during deployment Support the rollout of new AI systems and ensure smooth integration Team and impact This role works closely with a group focused on bringing transformative technologies to market. Field Engineers contribute to both client success and the broader adoption of OpenAI’s products.

About Our TeamAt OpenAI, we are dedicated to creating safe artificial general intelligence (AGI) that benefits all of humanity. Our mission brings together some of the world's leading scientists, engineers, and business professionals in a collaborative environment focused on innovation.Our Go To Market (GTM) team plays a pivotal role in empowering customers to effectively leverage our advanced AI products across various sectors. Comprising professionals from Sales, Solutions, Support, Marketing, and Partnerships, this team collaborates to deliver valuable solutions that expand AI accessibility.About the RoleAs an Account Director within our ChatGPT Enterprise Sales team, you will work closely with educational institutions and organizations to facilitate the adoption of OpenAI’s products. Your focus will be on guiding universities and K-12 institutions in evaluating and implementing ChatGPT Enterprise for administrators, faculty, and students.You will be instrumental in driving opportunities throughout the sales cycle, from lead generation to finalizing deals. Representing OpenAI as a thought leader in AI, you will collaborate with researchers, engineers, and solution strategists to advance our customers' AI initiatives. With the recent launch of ChatGPT Enterprise (August 2023), we are eager to welcome experienced Account Directors to our team, who will help onboard new clients and expand our existing customer base.This position is based in San Francisco, New York, or Washington DC, and follows a hybrid work model requiring three days in the office each week.Key Responsibilities:Guide enterprise clients from initial consideration to purchase decision.Collaborate with Account Associates, Solutions Engineering, and Customer Success teams to execute detailed customer evaluations, demonstrations, and pilot programs.Provide weekly forecasts of your sales pipeline and targets.Continuously analyze the industry landscape to inform product development and corporate strategies.Engage with solutions, marketing, communications, and business operations teams to enhance customer experiences.

About Our TeamThe Safety Systems organization at OpenAI is dedicated to ensuring the responsible development and deployment of our most advanced AI models. We create evaluations, safeguards, and safety frameworks to ensure that our models operate as intended in real-world scenarios.The Preparedness team plays a critical role within the Safety Systems organization, guided by OpenAI’s Preparedness Framework.As frontier AI models hold the potential for significant benefits to humanity, they also present escalating risks. The Preparedness team is essential in preparing for the development of increasingly capable frontier AI models, focusing on identifying, tracking, and preparing for catastrophic risks associated with these technologies.The mission of the Preparedness team includes:Monitoring and predicting the evolving capabilities of frontier AI systems, especially regarding risks that could have catastrophic consequences.Establishing concrete procedures, infrastructure, and partnerships to mitigate these risks and safely advance the development of powerful AI systems.The Preparedness team integrates capability assessment, evaluations, internal red teaming, and mitigations for frontier models, coordinating overall AGI preparedness. This fast-paced and impactful work holds significant importance for both our organization and society.About the RoleAs frontier AI systems become more capable, they exhibit greater autonomy, the ability to pursue long-term goals, adapt to feedback, and utilize tools. While these advancements offer immense potential, they also raise the risk of models behaving in misaligned or deceptive ways, which can be difficult to supervise or contain. Addressing the risk of loss of control is a key challenge in the safe development and deployment of advanced AI systems.In your role as a Researcher focused on loss of control mitigations, you will design and implement an end-to-end mitigation strategy aimed at reducing the risk of intentionally subversive or inadequately controllable behaviors in OpenAI’s products and internal operations. This position necessitates strong technical expertise and close collaboration across functions to ensure that safeguards are enforceable, scalable, and effective. You will directly contribute to establishing robust protections as model capabilities evolve.

Join Our Innovative TeamAt OpenAI, our Go-to-Market (GTM) Partnerships team is at the forefront of creating a strategic, global network of partners that accelerates customer success and promotes enterprise AI adoption. Our mission is to drive sustainable growth in alignment with our vision for Artificial General Intelligence (AGI). We collaborate across various functions including Product, Engineering, Security, Legal, and GTM to ensure robust partner outcomes through a disciplined approach to strategy and execution.This position is a pivotal role within our Partnerships/GTM division, where you will manage a portfolio of Independent Software Vendor (ISV) and technology partnerships. Your deep collaboration with internal teams will facilitate integrations, joint go-to-market strategies, and long-lasting partnership growth.About the OpportunityWe are looking for a dynamic and experienced Partner Director, Head of Technology Partnerships, to lead and expand OpenAI's ISV and technology partner portfolio. You will be instrumental in forging strategic relationships with top-tier enterprise platforms and software providers, effectively translating shared goals into scalable integrations and go-to-market initiatives that enhance customer adoption.This leadership role requires you to serve as the primary accountable owner for a range of high-impact partnerships. You will set strategic direction, establish operational rhythms, and align both internal and partner stakeholders to achieve measurable business outcomes. Your success in this role will depend on your strong judgment, executive presence, and ability to navigate complex, cross-functional projects involving product, engineering, security, and GTM teams.Key ResponsibilitiesManage and expand a portfolio of strategic ISV and technology partnerships, ensuring partnership health, adoption, and business impact.Develop partnership strategies and priorities, including joint plans, objectives, and execution roadmaps across key partner segments.Establish and maintain a resilient operational model, incorporating governance, stakeholder alignment, escalation paths, and execution cadence.Collaborate with Product and Engineering teams to design and implement integrations that meet enterprise standards for reliability, security, and scalability.Work closely with Security, Legal, and Privacy teams to ensure trust, compliance, and commercial frameworks for collaborative work.Develop and lead joint go-to-market plans with Field and Marketing teams, including enablement, solution positioning, and coordinated execution.Monitor performance against defined metrics, identify bottlenecks, and drive continuous improvement across partnerships and programs.Represent OpenAI in discussions with senior stakeholders and partners, fostering strong relationships.

About the TeamThe IT Systems Operations team is crucial in connecting Security, Engineering, and Employee Technology platforms, ensuring that employee-facing systems, identity workflows, and enterprise applications operate smoothly and reliably as the organization grows.In addition to implementation, the team creates structured operating patterns that guarantee platform changes, access models, integrations, and lifecycle workflows evolve safely and consistently throughout the enterprise environment.About the RoleAs an IT Solutions Engineer, you will take ownership of identity-connected enterprise SaaS platforms and system change controls to uphold OpenAI’s compliance standards. Your responsibilities will include ensuring that production configurations, access models, and platform changes are compliant, auditable, and operated through defined controls. You will manage and operationalize controlled system and workflow changes across various identity platforms, SaaS applications, collaboration tools, and enterprise infrastructure.Collaboration with Security, Platform Engineering, and IT Support Operations is essential, as you will:Ensure consistent behavior of identity and access workflows across systemsImplement structured rollout and configuration practices for enterprise applicationsEnhance visibility and traceability of system changes affecting employee workflowsTranslate operational requirements into durable automation and policy-aligned implementationsSuccess in this position requires not only strong engineering skills but also sound operational judgment, meticulous documentation practices, and effective cross-functional collaboration.In this role, you will:Enterprise SaaS & Identity Platform OwnershipManage administration and operational stewardship of enterprise SaaS and identity-connected platforms, ensuring configuration integrity, access governance, and compliance with established control requirements.Oversee onboarding, access modification, and offboarding workflows aligned to standardized entitlement models.Guarantee reliable propagation of lifecycle events across downstream systems and maintain an accurate, auditable access state.

Join Our Team:At OpenAI, our mission is to ensure that the advancements in artificial intelligence benefit everyone. Our Science team is dedicated to creating AI-driven products that empower scientists and researchers to enhance their thinking, accelerate their work, and foster breakthroughs across various disciplines.With AI poised to transform scientific exploration, we recognize the challenges faced by researchers today—rising complexity, fragmented toolsets, and the need for rapid learning and reasoning across vast information landscapes. Our goal is to build exceptional OpenAI for Science experiences that facilitate scientific thinking, writing, analysis, and collaboration in fields such as mathematics, physics, biology, chemistry, and more.Your Role:We are looking for a talented and experienced Product Designer to shape the future of scientific product experiences. Your design expertise will be vital in creating intuitive, elegant, and innovative products that redefine the potential of AI tools for scientists. You will influence the entire product experience, from initial exploration and reasoning to writing, iteration, and collaboration.Key Responsibilities:Oversee the design and product direction of OpenAI's scientific offerings.Develop and launch high-quality products and enhancements, from initial concepts to polished prototypes.Collaborate with engineering, product management, AI researchers, and design colleagues to define and actualize product experiences.Conduct user research to gain insights into the workflows of scientists and researchers and apply those findings to improve our products.Contribute to the evolution of our design system.Help establish a vibrant design culture and support team growth.Tackle ambiguous challenges and drive them toward practical, high-quality solutions.

About the RoleJoin our dynamic Marketing Innovation team as a Data Scientist, where you will play a pivotal role in developing innovative internal tools and systems that revolutionize our marketing strategies and enhance customer engagement.Our mission is to create product-like systems that:Provide personalized, consultative experiences to millions of SMB customers through intelligent lifecycle and sales interactions.Tailor messaging, creative solutions, and outreach based on real-time behavioral insights.Facilitate intelligent routing, targeting, and engagement at scale, minimizing the need for manual intervention.In this position, you will collaborate closely with Product and Engineering teams to ensure that our systems deliver measurable business value.What You’ll DoEstablish success metrics for marketing systems (e.g., incremental pipeline generated, conversion improvements, efficiency gains), incorporating leading indicators for ongoing refinement.Create measurement and experimentation frameworks for continuous systems across lifecycle automation, creative generation, targeting, and routing, employing methods like holdouts, staged rollouts, and quasi-experimental designs.Collaborate with Product Managers and engineers to track, assess, and analyze system launches, ensuring every significant release is observable and accurately evaluated for incremental impact.Convert behavioral and model-driven insights into strategic decisions: determining what to scale, identifying intervention points, and optimizing resource allocation across segments.Develop repeatable decision-making processes (pre-launch criteria → post-launch evaluation → subsequent actions) that translate analysis into tangible improvements.What We’re Looking ForA minimum of 10 years of experience in a quantitative role (e.g., Data Science, Decision Science), ideally within a product-focused organization fostering B2B growth, with familiarity in SMB or scaled self-service models.Strong foundation in experimentation, causal inference, and applied statistics, with a track record of designing and interpreting tests in real-world, always-on environments.Proficient in SQL and Python, with the ability to work with complex, incomplete behavioral datasets to assess impact.Demonstrated success in translating findings into impactful decisions (product development, lifecycle management, targeting, routing).Excellent communication skills to convey complex data insights to diverse audiences and stakeholders.

About the TeamJoin the Business Data Science team at OpenAI, where we leverage data and analytics to enhance business performance, stimulate growth, and cultivate substantial partnerships. Our mission is to ensure the successful and impactful advancement of OpenAI initiatives, maximizing the benefits of AGI for all of humanity. We collaborate closely with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth teams.About the RoleAs a vital member of our Business Data Science team, you will play a crucial role in fostering a data-driven culture at OpenAI, focused on generating insights, informing decision-making, and shaping strategy. Your primary focus will be on enhancing customer success with our business products, including ChatGPT Team, ChatGPT Enterprise, and API. You will engage in projects that identify opportunities for customer lifecycle interventions, target audiences for new feature launches, and assess the effectiveness of communications and events intended to boost ongoing product engagement.This position is based in San Francisco, CA, utilizing a hybrid work model of three days per week in the office, with relocation assistance available for new hires.Key ResponsibilitiesWork closely with our Customer Success organization to explore innovative methods for enhancing customer adoption and engagement with our business products.Define key performance indicators, conduct experiments, and analyze data to evaluate the effectiveness of our initiatives in driving adoption and engagement.Proactively identify insights and opportunities that can contribute to engagement and business growth.Develop tools and systems for stakeholders to access routine data and insights independently, allowing for more impactful analyses.Become proficient in OpenAI’s data and systems. Collaborate with Data Engineering, Finance, and additional business teams to independently source all foundational data and extract valuable insights.Partner with fellow data scientists across the organization to share knowledge and continuously synthesize learnings.QualificationsA minimum of 7 years of experience in Data Science roles within fast-paced, results-oriented organizations.Proficiency in statistical analysis and causal inference, with practical application in data-driven strategies.

Join OpenAI's Integrity Data Science team, where our mission revolves around the responsible deployment of powerful AI technologies. We are dedicated to ensuring that our users can trust our products by developing measurement systems, experimental practices, and strategies to detect and mitigate misuse, fraud, and evolving adversarial behaviors.As we expand the scope and urgency of our Integrity initiatives across various product surfaces and market strategies, we are seeking a passionate Data Science Manager. In this role, you will play a pivotal role in scaling our team, enhancing execution across multiple Integrity domains, and fostering collaboration with Product, Engineering, Operations, and related teams (e.g., Growth, Ads).This position is located at our San Francisco headquarters (in-office).

About Our TeamThe Safety Systems team is committed to ensuring the safety, robustness, and reliability of AI models in real-world applications. By leveraging years of practical alignment and applied safety efforts, this team addresses emerging safety challenges and develops innovative solutions to facilitate the secure deployment of our advanced models and future AGI, ensuring that AI is both beneficial and trustworthy.Discover more about OpenAI’s safety initiativesAbout the PositionAs a Data Scientist within the Safety Systems team, you will spearhead a data-driven methodology for analyzing, evaluating, and overseeing the safety of our production systems. You will collaborate with various partners across the organization to define key metrics, develop and implement statistical methods to operationalize these metrics, analyze the effects of our products, and create comprehensive dashboards that serve as a reliable source of truth for addressing safety-related inquiries. Most importantly, you will play a pivotal role in the Safety Systems team, working closely with researchers and engineers to further our mission of establishing safe, robust, and reliable AI.This position is based at our headquarters in San Francisco, and we provide relocation assistance for new employees.Key Responsibilities:Lead initiatives to assess and quantify the real-world safety impacts of OpenAI’s existing and upcoming products.Explore novel approaches to enhance our methodologies for measuring and mitigating harm and abuse.Develop and execute statistical methods necessary for the operationalization of safety metrics.Provide strategic direction and project coordination within the realm of safety.Foster a data-driven culture in Safety Systems by defining, tracking, and operationalizing metrics at the feature, product, and company levels.Create and share dashboards, reports, and tools that empower the team and the organization to independently address safety-related questions.Construct a safety data flywheel and supply safety research with production insights and data for training and evaluation.

About Our TeamThe Safety Systems team at OpenAI oversees the entire lifecycle of safety measures for our cutting-edge models, ensuring responsible deployment that positively influences society. Our diverse work encompasses a range of research and engineering initiatives, including system-level safeguards, model training, evaluation, and red-teaming, all aimed at reducing misuse and misalignment while maintaining our stringent safety standards. We are committed to developing and deploying safe Artificial General Intelligence (AGI), nurturing a culture grounded in trust, responsibility, and transparency.We strive to learn continuously from our deployments, democratize the benefits of AI, and guarantee that our powerful tools align with human values and safety standards.About the RoleWe are seeking a dedicated Product Manager specializing in biosecurity risk. In this pivotal role, you will spearhead initiatives that ensure the safety, impact, and alignment of OpenAI’s frontier model deployments with user needs and technological advancements. You will establish strategic priorities, craft safety-oriented product roadmaps, and collaborate closely with AI researchers, software engineers, policy experts, and cross-functional partners. Additionally, you will devise strategies to enhance the ecosystem, empowering others to stay ahead of adversaries. This position is ideal for a proactive and technically proficient product manager with a knack for adversarial thinking and a passion for solving complex, ambiguous challenges through structured analysis and collaborative decision-making.This role is located in San Francisco, CA, and relocation assistance is available.In this role, you will:Collaborate closely with research, engineering, data science, and policy teams, along with other stakeholders, to integrate safety throughout the development and deployment of frontier AI models.Create robust frameworks for identifying and mitigating deployment safety risks, utilizing data analysis, expert consultations, and adversarial assessments.Set strategic priorities and product roadmaps aimed at enhancing deployment safety, improving reliability, and managing new AI capabilities.Develop scalable methodologies, tools, and processes for evaluating, refining, and continuously enhancing our safety systems.Establish repeatable processes to weave cutting-edge AI safety research into OpenAI’s models and product offerings.Create and regularly refine clear, actionable metrics that effectively capture safety performance and inform decision-making.