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60 Openai Research Program Manager Jobs Hiring Near You

About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

Product Design Program Manager

San Francisco, CA · On-site

$222.70K/yr

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose ... They are seeking an experienced Product Design Program Manager to help scale, support, and ...

About the Role As a Program Manager (PGM) in the Human Data team you will partner with our research ... About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general ...

About the Role We are seeking a highly technical Program Manager to lead execution across CPU ... OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose ...

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OpenAI Jobs Information

What are the key skills and qualifications needed to thrive as a Research Program Manager, and why are they important?

To thrive as a Research Program Manager, you need expertise in project management, research methodologies, and a relevant academic background such as a master's or PhD in a related field. Familiarity with project management tools (like Asana or Microsoft Project), research compliance systems, and data analysis software is typically required. Strong leadership, communication, and organizational skills help you coordinate teams and manage stakeholder expectations effectively. These competencies ensure research projects are completed on time, within budget, and according to rigorous academic or industry standards.

How does a Research Program Manager typically collaborate with principal investigators and research teams?

A Research Program Manager plays a central role in coordinating between principal investigators, research staff, and administrative personnel. They facilitate regular meetings, ensure project milestones are met, and help resolve any logistical or resource challenges that arise. By managing timelines, budgets, and compliance requirements, they act as a bridge to keep all team members aligned and informed. This collaborative approach not only streamlines communication but also supports successful grant submissions and project outcomes.

What is a Research Program Manager?

A Research Program Manager oversees the planning, execution, and completion of research projects within an organization or academic setting. They coordinate between researchers, stakeholders, and administrative teams to ensure projects meet objectives, stay within budget, and follow timelines. Their responsibilities often include managing resources, monitoring progress, facilitating communication, and ensuring compliance with ethical and regulatory requirements. Research Program Managers play a critical role in translating research goals into actionable plans and successful outcomes.

What is the difference between Research Program Manager vs Research Coordinator?

AspectResearch Program ManagerResearch Coordinator
CredentialsBachelor's or Master's in relevant field; experience in research managementBachelor's degree; often entry-level or related experience
Work EnvironmentOversees multiple projects, manages teams, liaises with stakeholdersSupports research activities, manages data collection, assists with study logistics
Employer & Industry UsageUniversities, research institutes, biotech companiesAcademic institutions, clinical research organizations, hospitals
Search & Comparison IntentUnderstanding managerial roles in research projectsEntry-level research support roles

The Research Program Manager typically oversees multiple research projects, manages teams, and coordinates with stakeholders, requiring more experience and advanced credentials. In contrast, Research Coordinators focus on supporting research activities, managing data collection, and assisting with logistics, often at an entry-level. Both roles are essential in research settings but differ in scope, responsibilities, and experience requirements.

Infographic showing various Research Program Manager job openings at Openai in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 68% Physical, 25% Hybrid, and 7% Remote job distribution.
Technical Program Manager, Robotics Data Acquisition

Technical Program Manager, Robotics Data Acquisition

OpenAI

San Francisco, CA • On-site

$257K - $300K/yr

Full-time

Posted 12 days ago


Job description

About Team
Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people's lives.
About the Role
We're looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation.
You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure.
In this role you will:
  • Own DAQ Program Delivery Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities.
  • Drive Cross-Functional Integration Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems.
  • Operationalize Data Collection Systems Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets.
  • System Readiness & Deployment Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites.
  • Program Execution & Risk Management Build and manage detailed program plans, identify risks early, and drive mitigation across technical and operational domains.
  • Capacity & Throughput Planning Model and plan DAQ capacity (stations, operators, uptime) to meet evolving data demands, balancing speed, cost, and quality.
  • Quality & Data Integrity Oversight Partner with engineering and data teams to define and enforce data quality standards, ensuring consistency and usability for downstream model training.
  • Continuous Improvement Drive improvements in system reliability, utilization, and efficiency through instrumentation, feedback loops, and process optimization.

You might thrive in this role if you:
  • 5+ years of experience in technical program management, systems engineering, or operations in hardware, robotics, or infrastructure-heavy environments
  • Strong systems-level thinking across hardware, software, and operational workflows
  • Proven ability to lead complex, cross-functional programs with high ambiguity
  • Experience scaling physical systems (labs, factories, robotics fleets, or test infrastructure)
  • Comfortable working close to hardware and debugging real-world system issues
  • Strong analytical skills; able to model capacity, throughput, and system performance
  • Excellent communication skills with the ability to align diverse stakeholders

About OpenAI
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. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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