Technical Program Manager, Multimodal

Details

The Product & Platform teams deliver offerings such as ChatGPT, the API platform, and enterprise capabilities to a global customer base. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences, connecting product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships.

The Technical Program Manager will build programs that help ChatGPT multimodal products learn from real-world usage and improve quickly. The role spans production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. The position is based in San Francisco, California, and uses a hybrid work model with three days per week in the office.

Responsibilities

• Build systems for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes.
• Establish and maintain evaluations for high-priority multimodal behaviors and use cases, including coverage, quality standards, and ownership.
• Package production signals into decision-ready data and evaluations for research teams.
• Measure whether model, prompt, configuration, and product changes improve multimodal evaluations and user outcomes.
• Close gaps between research and production environments, including system prompts, sampling behavior, multimodal configurations, inference differences, and other sources of parity drift.
• Create repeatable processes for reproducing product failures with research partners and validating fixes in shipped experiences.
• Lead multimodal capacity planning by forecasting demand, translating it into GPU and serving needs, and managing headroom and reallocation tradeoffs for voice and image-generation workloads.
• Improve tooling and operating processes for planning, launching, and operating multimodal capabilities as demand and model behavior evolve.
• Coordinate targeted multilingual data collection across research, Human Data, and external vendors.
• Drive cross-functional programs supporting multimodal launches, including multimodal actor recruitment and selection and voice-related product partnerships across vehicle, smart speaker, and headphone ecosystems.
• Establish operating cadences, decision rights, metrics, risk management, and executive-ready communication across complex, time-sensitive programs.

Requirements

• Experience leading technically complex programs involving machine learning, multimodal products, model evaluation, data pipelines, inference, capacity, or large-scale product infrastructure.
• Ability to work across user-facing product behavior and the underlying model, evaluation, configuration, serving, and capacity systems.
• Experience converting production signals into prioritized evaluations, data, engineering work, and measurable product improvements.
• Ability to reason about GPU demand, serving constraints, latency, reliability, quality, and launch tradeoffs.
• Experience closing research-to-production gaps and driving structured debugging and validation across teams.
• Ability to turn manual or fragmented workflows into scalable tooling, clear ownership, and durable operating practices.
• Ability to lead across research, engineering, product, operations, Human Data, and external partners without relying on direct authority.
• Strong communication, systems thinking, and evidence-based decision-making skills.
• Ability to work effectively in ambiguous, scaling environments.
• Commitment to OpenAI's mission and to expanding responsible access to advanced AI systems.

Benefits

• Base salary of $207,000–$445,000 per year, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for healthcare, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and paid sick or safe time as applicable.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.