# Technical Program Manager, Multimodal **Company**: OpenAI **Location**: San Francisco, CA **Work arrangement**: hybrid **Experience**: senior **Job type**: Full time **Salary**: $207K - $445K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/9b017213-6467-413f-b72c-59678c5d8bae?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_5a1c4029-d48 ## Description ## Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this position is $207K – $445K, with generous equity, performance-related bonus(es) for eligible employees, and the following benefits. Benefits include: - 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 - 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 ## About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings,such as ChatGPT, our API platform, and new enterprise capabilities,to a global and diverse customer base. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. ## About the Role 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. ## 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 - machine learning - multimodal products - model evaluation - data pipelines - inference - capacity planning --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/9b017213-6467-413f-b72c-59678c5d8bae?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)