OpenAI

<h2>About the Role</h2>As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics.This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product.As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next.<h2>In This Role, You Will</h2><ul><li>Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions.</li><li>Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions.</li><li>Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains.</li><li>Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets.</li><li>Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently.</li><li>Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance.</li><li>Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected value.</li><li>Exercise strong judgment when prioritizing competing requests, balancing immediate business needs with investments that improve the long-term quality and scalability of the data ecosystem.</li><li>Use AI-assisted development tools to increase productivity while maintaining clear, tested, and maintainable code, data models, and documentation.</li><li>Turn complex findings into clear, persuasive narratives through presentations, written memos, dashboards, and other formats suited to the audience.</li></ul><h2>You Might Thrive in This Role If You</h2><ul><li>Have 10+ years of experience in a relevant data role within fast-moving, results-oriented organizations.</li><li>Can independently structure and own ambiguous, high-impact business problems from initial framing through recommendation and execution.</li><li>Are highly autonomous, resourceful, and creative when navigating technical, operational, and stakeholder constraints.</li><li>Exercise strong judgment when deciding what to prioritize, how deeply to invest, and when a quick answer should become a durable data product.</li><li>Have deep SQL expertise and extensive experience working with large datasets and designing ETL workflows.</li><li>Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity.</li><li>Are proficient in a quantitative programming language, preferably Python.</li><li>Have experience with BI tools such as Tableau or Looker and know how to enable effective self-service analytics.</li><li>Have worked with custom visualization frameworks such as React, Streamlit, or Plotly Dash.</li><li>Can turn complex analysis into persuasive stories using memos, presentations, dashboards, and other formats.</li><li>Bring exceptional attention to detail and a strong commitment to accuracy.</li><li>Have delivered significant business impact, ideally within Sales, Finance, Support, or another GTM function.</li></ul>About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see <a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/eeo-policy-statement.pdf">OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</a>.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241">link</a>.<a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf">OpenAI Global Applicant Privacy Policy</a>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Analytics Engineer, GTM

<h2>About the team</h2>The Monetization Data Platform team builds the trusted data and platform foundations that power how the company develops, measures, and improves monetization products. We bring together product usage, pricing, billing, ads, payments, and financial data to help Product, Engineering, Finance, and GTM teams make better decisions and deliver reliable customer experiences.We work at the intersection of data engineering, product engineering, platform engineering, Finance, and GTM. Our goal is to turn complex monetization and financial data into accurate, explainable, and timely data products while building systems that scale with the growth and complexity of the business.<h2>About the role</h2>We are looking for a Data Engineer to improve and build the next generation of our monetization data platform. You will own high-impact systems end to end, from product instrumentation, source ingestion, and canonical modeling through quality controls, observability, and delivery to downstream consumers.This is a hands-on role for an engineer who enjoys solving ambiguous product and data problems, designing durable architectures, and partnering closely with Product Engineering, Finance, Accounting, and GTM. You will help define technical direction, raise the engineering bar, and turn monetization opportunities into trusted, scalable data products and platform capabilities.<h2>In this role, you will</h2><ul><li>Design, build, and operate large streaming and batch data pipelines that process product, financial, and operational data from a variety of internal and external systems.</li><li>Develop canonical data models and reusable data products for domains such as product usage, pricing, billing, ads, payments, revenue, and the general ledger.</li><li>Establish strong guarantees for data accuracy, completeness, freshness, lineage, reconciliation, and auditability.</li><li>Build frameworks and platform capabilities that improve developer productivity and make it easier for teams to launch, measure, and iterate on monetization products using trusted data.</li><li>Partner with Product Engineering, Finance, Accounting, Analytics, and GTM teams to define data contracts, instrument new monetization features, and translate product and business requirements into robust technical solutions.</li><li>Lead the technical design and delivery of complex, cross-functional projects, using clear system designs and RFCs to align partners before implementation and making sound tradeoffs among speed, scalability, reliability, and maintainability.</li><li>Improve the observability and operational excellence of critical data workflows, including monitoring, incident response, root-cause analysis, and long-term remediation.</li><li>Command strong sense of engineering excellence, contribute to a design-before-implementation approach with clear documentation, and knowledge sharing across teams to elevate the broader engineering organization.</li></ul><h2>You might thrive in this role if you</h2><ul><li>Have deep experience building and operating production data platforms, distributed data systems, or high-scale data pipelines.</li><li>Are highly proficient in large data pipeline architecture and at least one general-purpose programming language such as Python, Java, or Scala.</li><li>Have strong fundamentals in data modeling, data architecture, distributed systems, and software engineering.</li><li>Have designed systems with rigorous data quality, observability, lineage, governance, privacy, or access-control requirements.</li><li>Can collaborate with cross-functional partners to identify needs, navigate ambiguity, and drive progress from problem definition through delivery.</li><li>Bring a product-oriented mindset and communicate clearly with technical and non-technical partners, translating customer and business problems into precise data contracts and scalable system designs.</li><li>Care deeply about correctness and operational reliability while maintaining a practical bias toward delivering value.</li><li>Bring a strong sense of engineering excellence, using clear thinking, sound judgment, and a design-before-implementation approach to create maintainable systems.</li></ul><h2>Nice to have</h2><ul><li>Experience with monetization, pricing, product usage, billing, ads, payments, revenue, or financial data.</li><li>Familiarity with financial controls, reconciliation, close processes, or audit requirements.</li><li>Experience with modern lakehouse or data warehouse technologies, workflow orchestration, streaming systems, and data transformation frameworks.</li><li>Experience building self-service data platforms, shared frameworks, or developer tooling used by other data and engineering teams.</li><li>Monetization or finance domain experience is helpful but not required. We value strong data engineering judgment, systems thinking, and the ability to learn a complex domain quickly.</li></ul>About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see <a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/eeo-policy-statement.pdf">OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</a>.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241">link</a>.<a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf">OpenAI Global Applicant Privacy Policy</a>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Data Engineer, Monetization Data Platform

About the RoleWe’re hiring a Data Scientist to support Real Estate &amp; Workplace (REW), a fast-moving global team focused on creating workplaces that help OpenAI’s people do their best work while scaling the company’s real estate and workplace operations. Our work is grounded in understanding how people use space and services, collaborate across physical and digital environments, and experience the workplace.REW’s scope spans portfolio strategy, design and construction, space planning, sustainability, workplace experience, and global operations. You’ll work comfortably across this broad, sometimes messy data landscape and build trusted relationships across the domain. The work informs high-impact decisions with immediate, visible effects—from where teams work and how space and services are allocated to which investments move forward and how workplace experiences evolve. This is a high-ownership Data Science role spanning analytical strategy and hands-on execution. Working at the forefront of AI-native analytics, you’ll help define the future of workplace operations at OpenAI rather than follow an established playbook. You’ll shape REW’s Data Science roadmap, identify where forecasting, experimentation, and optimization can drive impact, and translate business priorities into an analytical plan. You’ll own the stakeholder-facing execution layer—including owning agent-built dashboards, recurring reporting, models, and decision tools—along with analytical requirements, validation, adoption, and measurable business impact.In this role, you’ll be partnered closely with Finance, People Analytics, IT, and REW leaders. You’ll own problems end to end—from framing and prioritization through analysis, recommendation, delivery, adoption, and iteration—so the work drives measurable business outcomes. What You’ll Do<ul><li>Own ambiguous, high-impact problems end to end—from framing and prioritization through delivery, adoption, and iteration.</li><li>Define success metrics and build measurement, forecasting, experimentation, and optimization frameworks for decisions about people, spaces, and investments.</li><li>Develop and own agentic dashboards, reporting, models, and decision tools, ensuring they are trusted, governed, and agent-ready.</li><li>Connect data from workplace sensors, collaboration tools, operations, and financial systems—while identifying and integrating novel data sources—to guide decisions about space, services, employee experience, and investments.</li><li>Communicate assumptions, trade-offs, and recommendations clearly to technical, operational, and executive stakeholders. </li></ul>What We’re Looking For<ul><li>Ability to thrive in ambiguity, take ownership, and balance rigor with speed.</li><li>Familiarity with AI-assisted analytics, collaboration technologies, and operational platforms.</li><li>Experience in Data Science or Decision Science, ideally in operational, financial, workplace, or internal-tools environments.</li><li>Strong grounding in applied statistics, causal inference, forecasting, and model evaluation; fluent in SQL and Python.</li><li>Proven ability to turn messy, broad datasets into high-impact decisions and measurable outcomes.</li><li>Enthusiasm for pioneering AI-native analytics and working with agentic dashboards and decision systems.</li><li>Exceptional communication skills across operators, engineers, cross-functional partners, and senior leaders.</li></ul> Nice to Have<ul><li>Experience building operational automation or decision systems for prioritization, forecasting, or optimization.</li><li>Experience analyzing human behavioral or organizational-network data from workplace sensors and collaboration technologies such as messaging, meetings, calendars, or workplace platforms.</li><li>Experience creating analytical, measurement, or governance frameworks in fast-changing environments.</li></ul>About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see <a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/eeo-policy-statement.pdf">OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</a>.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241">link</a>.<a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf">OpenAI Global Applicant Privacy Policy</a>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Data Scientist, Real Estate & Workplace 

About The TeamThe Data Understanding team is responsible for creating the high quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs.About The RoleWe're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelinesWe Expect You To<ul><li>Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.</li><li>Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact.</li><li>Be excited by OpenAI’s empirical, collaborative approach to research.</li></ul>Nice To Have<ul><li>Thoughtfulness about AI’s impact, including privacy, provenance, and data quality.</li><li>Experience building high-performance deep learning or large-scale data processing systems.</li></ul>About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see <a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/eeo-policy-statement.pdf">OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</a>.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241">link</a>.<a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf">OpenAI Global Applicant Privacy Policy</a>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

RE/RS, Data Understanding - Foundations

<h3>About the Team</h3>The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more.We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential.About the RoleWe’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability.This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI.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:<ul><li>Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains.</li><li>Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability.</li><li>Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability.</li><li>Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions.</li><li>Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches.</li><li>Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks.</li><li>Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making.</li></ul>You might thrive in this role if you have:<ul><li>Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research).</li><li>7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems.</li><li>Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability.</li><li>Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries.</li><li>Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments.</li><li>Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders.</li><li>Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1.</li></ul>Bonus if you have:<ul><li>Experience building or scaling forecasting platforms in a high-growth company.</li><li>Familiarity with causal inference, Bayesian forecasting</li><li>Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments.</li></ul>#LI-NM2About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see <a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/eeo-policy-statement.pdf">OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement</a>.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?d=57018692298241&amp;k=5MqR40fZd7jlxVUh5J-UeA">this form</a>. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this <a target="_blank" rel="noopener noreferrer ugc" href="https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&amp;d=57018692298241">link</a>.<a target="_blank" rel="noopener noreferrer ugc" href="https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf">OpenAI Global Applicant Privacy Policy</a>At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Analytics Engineer, GTM

Data Engineer, Monetization Data Platform

Data Scientist, Real Estate & Workplace

RE/RS, Data Understanding - Foundations

Machine Learning Data Scientist, Forecasting

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