Technical Program Manager, Frontier Evals

About the Team

OpenAI’s Frontier Evals team designs and builds evaluations that measure the capabilities, limitations, and emerging behaviors of our most advanced models. As a research team, we advance both the science and infrastructure of model evaluation, developing methods, systems, and datasets that help us understand where frontier models succeed, where they fail, and what those results imply for future development and deployment.

About the Role

As a Technical Program Manager on Frontier Evals, you will drive high-priority evaluation and research programs from concept through design, execution, and analysis. This is a hybrid IC and program management role: you will help design evals, build lightweight technical workflows, manage human data campaigns, create project roadmaps, track execution, and coordinate across researchers, engineers, data teams, vendors, and domain experts. You should be comfortable ramping quickly on unfamiliar topics, turning open-ended research questions into concrete plans, and doing the hands-on work required to make progress before perfect infrastructure exists. The right person is operationally strong, highly resourceful, and excited to work on research projects where the path is not already defined.

This role is based in San Francisco, CA. We require 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

- Manage frontier evaluation projects from initial research questions to delivered benchmarks.

- Partner with researchers and engineers to translate ambiguous model capability questions into concrete eval designs, success metrics, timelines, and execution plans.

- Design and manage human data campaigns, including task design, trainer or expert instructions, and quality control workflows.

- Do hands-on technical work where needed, including prompt iteration, model-based evaluation workflows, data analysis, lightweight scripting, dashboarding, and debugging eval pipelines.
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