5-7 years of experience in data acquisition or related fields
Proficiency in SQL and Python for data analysis and dashboard creation
Experience with APIs, automation, and AI tools like Codex
Ability to evaluate and work with startups and vendors
Strong problem-solving skills and a hands-on approach
Quick learner of technical concepts and tools
Ability to manage multiple projects with effective prioritization
Responsibilities
Collaborate with researchers to define data needs and execution plans
Identify and evaluate high-impact data opportunities
Utilize creative problem-solving to advance projects amid uncertainty
Develop lightweight systems for tracking performance and quality
Work with engineers to enhance data platforms and ensure security
Provide context and standards to vendors and internal teams
Drive the execution of technical roadmaps
Benefits
Opportunity to work at the forefront of data acquisition
Collaborative environment with researchers and engineers
Dynamic role with a focus on creative problem-solving
Exposure to cutting-edge AI research
Potential for significant impact on data strategies
Based in San Francisco HQ with a team of RPMs
Full Job Description
About the RoleAs 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.
In this role, you will:
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.
You'll thrive in this role if you:
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.
Want to get your hands dirty; grit and creative problem solving will be required daily
Learn technical concepts exceptionally quickly, seeking out knowledge to become proficient in areas that are new to you
Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritization
Thrive in dynamic environments and can navigate ambiguity with ease
About OpenAI
OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
