Mixed Methods UX Researcher, Product Policy

About the Team

The Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern the use of OpenAI’s services, including ChatGPT, GPTs, the GPT store, and the OpenAI API. The team is instrumental in developing policy frameworks and strategic priorities to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people in pursuit of our mission.

About the Role

As a Mixed Methods UX and early member of our Research and Measurement team on Product Policy, you will help to ensure a data-driven policy development culture at OpenAI. You will leverage data on user behavior to define short and long-term policy priorities, analyze trade-offs, and define ‘north star' metrics that measure the success of our policies & enforcements.

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:

• Embed as a member of the product policy team, focused on applying data-insights to the full lifecycle of policy development, implementation, and enforcement

• Conduct an initial mixed-methods UX assessment of policy-critical user journeys and risk touchpoints, combining user research, case analysis, and product data to surface where policy most directly shapes real user experience

• Collaborate cross-functionally across the organization, including with Policy Research, Safety Systems, Intel & Investigations, Global Affairs, to coordinate research and data insights , and more

• Establish a data-driven policy development culture

You might thrive in this role if you have:

• 7+ years experience in a mixed methods role navigating highly ambiguous environments, ideally as a founding data scientist, researcher, or product analyst

• Defined, implemented, and operationalized new feature and product-level metrics from scratch, especially in ambiguous areas related to AI policy or social science

• Strategic insights beyond the paradigm of statistical significance testing

• An interest in user behavior and identifying optimized approaches to hard problems

• Excellent communication skills with demonstrated ability to communicate with product managers, engineers, researchers, and executives alike

You could be an especially great fit if you have:

• A background in social science, philosophy, ethics, and/or economics

• Familiarity with major AI policy questions facing the company and the world

About OpenAI

OpenAI 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 OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

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.

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