Technical Program Manager, Multimodal at OpenAI in San Francisco

Job description

• We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning 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.
• You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt.
• This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

Responsibilities

• Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes.
• Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership.
• Package production signals into decision-ready data and evaluations that research teams can use to improve model behavior.
• Measure whether model, prompt, configuration, and product changes produce meaningful improvements in 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 a repeatable process for reproducing product failures with research partners and validating fixes in the shipped experience.
• 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 the tooling and operating processes used to plan, launch, and operate multimodal capabilities as demand and model behavior evolve.
• Coordinate targeted multilingual data collection across research, Human Data, and external vendors.
• Drive cross-functional programs that multimodal launches depend on, including multimodal actor recruitment and selection and voice-related product partnerships across vehicles, smart speakers, and headphone ecosystems.
• Create clear operating cadences, decision rights, metrics, risk management, and executive-ready communication across complex, time-sensitive programs.

Requirements

• Have led technically complex programs across machine learning, multimodal products, model evaluation, data pipelines, inference, capacity, or large-scale product infrastructure.
• Can move fluently between user-facing product behavior and the underlying model, evaluation, configuration, serving, and capacity systems.
• Have built mechanisms that convert production signals into prioritized evaluations, data, engineering work, and measurable product improvements.
• Can reason credibly about GPU demand, serving constraints, latency, reliability, quality, and launch tradeoffs.
• Have closed research-to-production gaps and can drive structured debugging and validation across teams with different environments and incentives.
• Turn manual or fragmented workflows into scalable tooling, clear ownership, and durable operating practices.
• Lead effectively across research, engineering, product, operations, Human Data, and external partners without relying on direct authority.
• Communicate crisply, make ambiguity tractable, and use metrics and evidence to drive decisions.
• Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace.
• Care about OpenAI's mission and about expanding responsible access to advanced AI systems.

Skills

Required

• Technical program management
• Machine learning
• Multimodal products
• Model evaluation
• Data pipelines
• Inference
• Capacity planning
• Large-scale product infrastructure
• Systems thinking
• Cross-functional leadership
• Communication
• Ambiguity management

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
• More details about our benefits are available to candidates during the hiring process.
• This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.
• The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.