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Technical Program Manager, Foundations Data and Operations

Label Your Data·Salary not specified

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Project Management

Job description

About the Position

Technical Program Manager, Foundations Data and Operations

San Francisco


About the Team

The Search research team focuses on building the systems that help AI systems find, retrieve, and use information from the world. We aim to make answers more useful and grounded for more than a billion users.


About the Role

We’re looking for a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You’ll partner closely with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex technical work forward.

This role combines technical depth, product judgment, and hands-on execution. You’ll work across retrieval, indexing, and model improvements, while collaborating with policy, legal, and external data partners. You’ll help teams make informed tradeoffs and build practical ways of working that support a fast-moving research environment.


Responsibilities

  • Lead programs across model training, retrieval, large-scale indexing, and search infrastructure.
  • Translate evolving goals into prioritized workstreams with clear owners, milestones, dependencies, and resource needs.
  • Partner with research, engineering, and product leads to define requirements and make tradeoffs across scope, quality, performance, timelines, and cost.
  • Establish program success metrics and use them to guide priorities and track improvements in coverage, answer quality, responsiveness, and trust.
  • Identify technical and cross-functional risks early, drive blockers to resolution, and communicate progress and decisions clearly to teams and leadership.
  • Coordinate with product, policy, legal, and external partners on data access, use, and presentation, helping teams resolve decisions that span technical and non-technical domains.
  • Manage dependencies with data providers and build repeatable processes that help research and engineering teams execute effectively as the search effort grows.

Requirements

  • Substantial technical experience and a record of delivering complex programs across multiple engineering teams and a large technical stack.
  • Experience with search, information retrieval, indexing, or similarly complex systems. Direct experience with consumer or enterprise search products is especially valuable.
  • Ability to understand technical architectures and tradeoffs, ask useful questions, and communicate effectively with both engineers and researchers.
  • Ability to bring clarity to ambiguous research problems and adapt plans as teams learn, while maintaining ownership and momentum.
  • Combination of product judgment with program discipline, connecting technical decisions to the quality of the user experience.
  • Resourceful and hands-on, comfortable moving between program strategy and the details needed to unblock execution.
  • Ability to build trust across functions, communicate clearly, and influence decisions across teams with different priorities.

About the Company

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.

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