OpenAI's Research Data Team exists to accelerate the evaluation, safety and capabilities of our models and products. Made up of technical operators and software engineers, we design the methods in which we acquire and create data.
As a Research Program Manager (RPM), Data Acquisition, you will partner with research, engineering, and operations to design and implement pragmatic solutions for acquiring data. You will be a key interface between our research roadmap and external data offerings.
This role is based in our San Francisco HQ and will be part of a team of RPMs pushing the frontier of data acquisition.
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.
What you'd do
- Partner deeply with research: Work with researchers to scope data needs, define success criteria, and translate priorities into clear execution plans.
- Shape the data acquisition pipeline: Identify, evaluate, and advance high impact data opportunities - balancing research value, feasibility, quality, and responsible execution.
- Unblock yourself: Move work forward even when the path is unclear — using technical judgement, creative problem solving, and scrappy execution to make progress while longer-term solutions are still forming.
- Build lightweight systems and visibility: Use SQL, Python, dashboards, and simple tooling to track performance, quality, and blockers.
- Drive technical roadmaps: Collaborate with engineers to enhance data platforms, resolve blockers, and ensure security best practices such as access management.
- Scale your impact: Equip vendors and internal teams with the context, standards, and operating rhythms needed to focus on the most important problems.
- Are proficient in SQL and Python for analysing datasets, querying databases, building dashboards, and generating actionable insights.
- Are comfortable using APIs, automation, and AI tools such as Codex to accelerate workflows, remove manual overhead, and upskill quickly in unfamiliar technical areas.Experience sourcing, evaluating, or working with startups, founder and vendors
- Are excited to understand the technicalities of cutting-edge AI research and work alongside researchers from instantiation to launch.
- Can move fluidly between research context, commercial execution, and data operations.