Product Manager, Core Models

OpenAI
San Francisco
Workplace: HybridFull timeUSD 347,000 - 490,000 annuallyFunction: Product ManagementSkills: ["Technical depth","Crisp judgment","Communication","Collaboration","Responsibility"]

Define and guide how frontier AI core models work in real-world applications. Translate user and product goals into model requirements, systems architecture choices, and research priorities across query understanding, retrieval, ranking, training, inference, and evaluation. Build closed learning loops that convert usage signals into datasets, experiments, and launch decisions, partnering with research, Model Design, applied product engineering, and Data Science to move capabilities into the mainline stack.

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FursaFursa
OpenAI
OpenAI
2 months ago

Product Manager, Core Models

āœ“ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Define and guide how frontier AI core models work in real-world applications. Translate user and product goals into model requirements, systems architecture choices, and research priorities across query understanding, retrieval, ranking, training, inference, and evaluation. Build closed learning loops that convert usage signals into datasets, experiments, and launch decisions, partnering with research, Model Design, applied product engineering, and Data Science to move capabilities into the mainline stack.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Product Management

Key Responsibilities

  • ā€¢Translate user and product goals into model requirements, system architecture choices, and research priorities across query understanding, indexing, retrieval, ranking, tool boundaries, data, training, inference, and evaluation.
  • ā€¢Build closed learning loops that turn product usage, explicit feedback, and user signals into datasets, evaluations, experiments, training priorities, and launch decisions.
  • ā€¢Define success across offline evaluations and online product metrics, balancing model quality, usefulness, latency, safety, reliability, and cost.
  • ā€¢Partner closely with post-training research, applied product engineering, Model Design, and Data Science to integrate capabilities into the mainline model stack.
  • ā€¢Create reusable platforms and operating systems for evaluation, experimentation, and signal collection so new capabilities improve faster over time.

Pay and Benefits

Salary: USD 347,000 - 490,000 annually
Equity and Bonus:Equity
Perks:Relocation

Key Requirements

  • ā€¢Deep expertise in product management or closely related experience, including ownership of technically complex products or platforms.
  • ā€¢Fluency in one or more domains such as search and information retrieval, recommendation/personalization, ML platforms, large-scale data systems, model evaluation, or AI product infrastructure.
  • ā€¢Ability to pair offline evaluation with online experimentation and user signals, and to distinguish useful metrics from convenient ones.
  • ā€¢Earn the trust of researchers and engineers through technical depth, crisp judgment, and willingness to engage in details.
  • ā€¢Combine consumer product taste with systems rigor and care about both user-perceived quality and repeatable infrastructure.
Experience:AIMachine learningSearchInformation retrievalRecommendationPersonalizationML platformsModel evaluationData systems
Skills:Technical depthCrisp judgmentCommunicationCollaborationResponsibility

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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