Technical Program Manager, Human Data

OpenAI•San Francisco, CA

17h•Onsite

About The Position

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-4, and Sora, and contributes to safety initiatives through collaboration with our Preparedness and Safety Systems teams. As a Technical Program Manager (TPM) 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 and will report to the Head of Human Data Operations. We offer relocation support to new employees.

Requirements

Proficient in SQL and Python for data analysis, including querying databases, processing large datasets, and generating actionable insights
Proficient in Python for interacting with various tools via APIs, including sending requests, processing responses, and integrating functionalities into workflows
Proficient in SQL for creating analytics dashboards, including writing complex queries, optimizing data retrieval, and visualizing insights for decision-making
A strong understanding of how LLMs work and of prompt engineering
Are excited to understand the technicalities of cutting edge AI research and work alongside researchers from instantiation to launch
Enjoy being part of an ambitious and technically-minded team
Have experience working at large scale across a portfolio of projects
Want to get your hands dirty; grit and creative problem solving will be required daily
Have an action-oriented and deeply curious mind
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

Responsibilities

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.