Research Program Manager, Human Data Campaigns

OpenAI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

OpenAI is seeking a Research Program Manager for the Human Data team based at our San Francisco HQ. You will partner with researchers and engineers to design pragmatic data collection solutions, define success metrics, and oversee campaigns from planning to execution.

You will also build dashboards and analytics to monitor performance and drive security-conscious data platforms. You will thrive if you are hands-on with SQL and Python, enjoy cross-functional collaboration, and can navigate

Qualifications

• Proficient in SQL and Python for data analysis.
• Experience collaborating with researchers and engineers.
• Ability to design and execute data collection campaigns and dashboards.

Responsibilities

• Collaborate with Research to scope data needs and define success metrics.
• Translate research needs into actionable data collection plans and campaigns.
• Develop and optimize dashboards to monitor campaign performance.
• Collaborate with engineers to enhance data platforms and ensure security practices.

Skills

SQL

Python

Data analysis

Stakeholder management

Job description

About the Team

OpenAI's Human Data Team creates custom data solutions driving groundbreaking research. Our work enhances and evaluates our flagship models and products like ChatGPT, GPT-5, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams.

About the Role

As a Research Program Manager (RPM) in the Human Data team you will partner with research and engineering to design and implement pragmatic solutions for collecting high-quality data. You will be a key interface between our research roadmap, external vendors, AI trainers, and the Human Data engineering team.

This role is based in our San Francisco HQ.

• Collaborate with Research: Partner with researchers to scope data collection needs, define success metrics, and establish quality measurement frameworks.
• Design & Execute Data Collection Campaigns: Translate research needs into actionable plans and accelerate execution by leveraging existing tooling and iterating to reach the desired outcome. In many cases, you will need to implement scrappy new solutions while partnering with engineering to design robust/scalable solutions.
• Unblock Yourself: You must be deeply uncomfortable with the idea of sitting around waiting for external dependencies, and have the technical acumen and drive to figure out how to achieve at least partial success in the interim.
• Optimize Systems & Processes: Build and optimize dashboards to track campaign performance, leveraging SQL and Python for data analysis and actionable insights.
• Drive Technical Roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management.
• Scale Your Impact : Advise and empower program managers and vendors to drive day-to-day execution so that you can focus on addressing high priority opportunities.

You might thrive in this role if you:

• Are proficient in SQL and Python for data analysis, including querying