Openai

Overview

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.

About Openai

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.

Requirements & Eligibility

• 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.

Key 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.