Technical Program Manager, Multimodal

OpenAI
San Francisco
Workplace: HybridFull timeUSD 207,000 - 445,000 annuallyFunction: Program & Project Management (PMO)Skills: ["Systems thinking","Comfort with ambiguity","Structured debugging","Evidence-based decision making","Cross-functional leadership"]

Build the flywheel for ChatGPT multimodal products to learn from real-world usage and improve quickly. Own cross-functional programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, and multimodal capacity planning for voice and image launches. Partner with research, engineering, Human Data, inference/capacity, safety, and vendors to turn complex dependencies into decision-ready metrics, operating cadences, and repeatable debugging and validation processes.

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FursaFursa
OpenAI
OpenAI
4 days ago

Technical Program Manager, Multimodal

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Build the flywheel for ChatGPT multimodal products to learn from real-world usage and improve quickly. Own cross-functional programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, and multimodal capacity planning for voice and image launches. Partner with research, engineering, Human Data, inference/capacity, safety, and vendors to turn complex dependencies into decision-ready metrics, operating cadences, and repeatable debugging and validation processes.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Program & Project Management (PMO)

Key Responsibilities

  • ā€¢Build systems to mine production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes.
  • ā€¢Establish and maintain evaluations for high-priority multimodal behaviors and use cases, including coverage, quality standards, and ownership.
  • ā€¢Package production signals into decision-ready data and evaluations that help research improve model behavior.
  • ā€¢Measure whether model, prompt, configuration, and product changes produce meaningful improvements in multimodal evaluations and user outcomes.
  • ā€¢Drive multimodal capacity planning by forecasting demand, translating it into GPU and serving needs, managing headroom, and coordinating operating cadences and decision rights.

Pay and Benefits

Salary: USD 207,000 - 445,000 annually
Perks:Relocation

Key Requirements

  • ā€¢Have led technically complex programs across machine learning, multimodal products, model evaluation, data pipelines, inference, capacity, or large-scale product infrastructure.
  • ā€¢Translate between user-facing product behavior and underlying model, evaluation, configuration, serving, and capacity systems.
  • ā€¢Build mechanisms that convert production signals into prioritized evaluations, data, engineering work, and measurable product improvements.
  • ā€¢Reason credibly about GPU demand, serving constraints, latency, reliability, quality, and launch tradeoffs.
  • ā€¢Close research-to-production gaps and drive structured debugging and validation across teams with different environments and incentives.
Experience:Machine learningMultimodal productsModel evaluationData pipelinesInferenceLarge-scale product infrastructure
Skills:Systems thinkingComfort with ambiguityStructured debuggingEvidence-based decision makingCross-functional leadership
Tech Stack:Machine learningMultimodalModel evaluationData pipelinesInferenceCapacity planningGPUServingLatencyReliabilityQualityData collection

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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