Technical Program Manager, Search Foundations & Data Ops

OpenAI; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

OpenAI is seeking a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You will partner with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex work forward.

You’ll work across retrieval, indexing, and model improvements, collaborating with policy, legal, and external data partners to enable fast-moving research while balancing scope, quality, performance, and cost.

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.

Job description

OpenAI is seeking a Technical Program Manager to lead a broad portfolio of research and engineering programs that power search. You will partner with researchers, engineers, and product leaders to turn ambitious goals into clear plans, resolve dependencies, and move complex work forward.

You’ll work across retrieval, indexing, and model improvements, collaborating with policy, legal, and external data partners to enable fast-moving research while balancing scope, quality, performance, and cost.