OpenAI
AI Research and Deployment
TechnicalProgramManager,FrontierEvals
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Technical Program Manager, Frontier Evals at OpenAI. Skills: Technical program management, Research program management, Evaluation design, Execution and analysis. Drive high-priority evaluation and research programs from concept through design, execution, and analysis. Design evals”
Industry & Context.
Turning open-ended research questions into concrete plans; Identifying what needs to be learned; Identifying who needs to be involved; Whatever is required to complete the project
3 days in the office per week, Relocation assistance to new employees
What They're Looking For.
Must Have
Experience in technical program management, research operations, data operations, evaluation, or a similarly ambiguous technical execution role, Proficient enough in Python, SQL, or similar tools to analyze datasets, inspect model outputs, automate workflows, and unblock yourself without waiting on engineering support for every step, Understanding of how large language models work, including prompting, model evaluation, grading, and common failure modes, Ability to work as both an IC and a program manager, Ability to quickly turn vague research goals into clear plans, crisp milestones, owners, risks, and decision points, Relentlessly resourceful, Ability to communicate clearly with technical and non-technical stakeholders, especially when explaining tradeoffs, uncertainty, quality risks, and research findings, Ability to learn new technical domains quickly and enjoy context switching across multiple high-priority projects, Care deeply about building rigorous evaluations that help OpenAI understand and safely deploy increasingly capable models
What You'll Do.
Drive high-priority evaluation and research programs from concept through design
Build lightweight technical workflows
Manage human data campaigns
Create project roadmaps
Manage frontier evaluation projects from initial research questions to delivered benchmarks
Translate ambiguous model capability questions into concrete eval designs
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
lightweight scripting
and debugging eval pipelines
Build roadmaps and operating rhythms that keep fast-moving research efforts aligned and unblocked
Ramp quickly on new domains and project areas
How You'll Work.
Team & Collaboration
Coordinate across researchers, engineers, data teams, vendors, and domain experts; Coordinate across research, engineering, human data, product, safety, legal, external vendors, and domain experts
Communication Scope
Communicate clearly with technical and non-technical stakeholders; Explaining tradeoffs, uncertainty, quality risks, and research findings
Process & Methodology
Program management, Project roadmaps, Tracking execution, Creating project roadmaps, Building roadmaps and operating rhythms, Aligning stakeholders, Defining crisp milestones, owners, risks, and decision points
Full Job Description
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. - Build roadm
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