OpenAI

Technical Program Manager, Foundations Data and Operations

OpenAI$150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in technical program management or a similar role
  • Experience with search, information retrieval, or large-scale indexing systems
  • Strong understanding of technical architectures and engineering tradeoffs
  • Proven ability to communicate effectively with technical and non-technical stakeholders
  • Demonstrated ability to manage complex programs with multiple engineering teams
  • Experience establishing program success metrics and using them to track improvements

Responsibilities

  • Lead programs focused on model training, retrieval, and search infrastructure
  • Translate goals into actionable workstreams with clear milestones
  • Collaborate with research and engineering leads to define requirements and tradeoffs
  • Establish and track program success metrics related to answer quality and coverage
  • Identify and resolve technical and cross-functional risks early in the process
  • Coordinate with cross-functional teams on data access and usage
  • Create repeatable processes to enhance team execution as projects scale

Benefits

  • Collaboration with leading researchers and engineers in AI
  • Opportunity to shape the future of AI search technologies
  • Engagement in a fast-paced and innovative work environment
  • Work in a diverse team setting, partnering with various functional areas
  • Based in San Francisco, CA, a hub for tech innovation
Full Job Description
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 ChatGPT 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.

This role is based in San Francisco, CA.

In this role, you will:
  • 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.

You might thrive in this role if you:
  • Have substantial technical experience and a record of delivering complex programs across multiple engineering teams and a large technical stack.
  • Have worked on search, information retrieval, indexing, or similarly complex systems. Direct experience with consumer or enterprise search products is especially valuable.
  • Can understand technical architectures and tradeoffs, ask useful questions, and communicate effectively with both engineers and researchers.
  • Bring clarity to ambiguous research problems and adapt plans as teams learn, while maintaining ownership and momentum.
  • Combine product judgment with program discipline, connecting technical decisions to the quality of the user experience.
  • Are resourceful and hands-on, comfortable moving between program strategy and the details needed to unblock execution.
  • Build trust across functions, communicate clearly, and influence decisions across teams with different priorities.


About OpenAI

OpenAI is an artificial intelligence research laboratory consisting of the for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. The company was founded in 2015 by a group of technology leaders, including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and John Schulman. OpenAI's mission is to develop and promote friendly AI for the betterment of humanity. The company has developed a number of cutting-edge AI technologies, including GPT-3, a language processing system that can generate human-like text. OpenAI has received funding from a number of high-profile investors, including LinkedIn co-founder Reid Hoffman and venture capitalist Peter Thiel.
Learn more about OpenAI
Size
100 employees
Industry
Founded
2015

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