Product Designer, Engineering Acceleration

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Engineering Acceleration team builds products that multiply the effectiveness of OpenAI’s technical teams. In this role, you’ll lead design across two connected product areas: a real-time data exploration and observability experience for investigating large-scale system and product behavior, and an experimentation platform for safely launching changes, measuring their impact, and deciding whether to ramp, iterate, or roll back. This role is based in our Seattle, WA or San Francisco, CA offices.

Responsibilities

Lead end-to-end design for data-intensive products used by engineers, researchers, and product teams; Shape the complete learning loop: instrument, launch, observe, investigate, evaluate, decide, and iterate; Create clear, high-craft workflows for querying, filtering, comparison, drill-down, visualization, alerting, and sharing; Make complex concepts—including data freshness, coverage, reliability, uncertainty, experiment assignment, metric validity, rollout state, and regressions—understandable and actionable; Partner closely with engineering, data science, research, and product management to translate deeply technical infrastructure into elegant, coherent product experiences; Use prototyping, research, and rigorous design exploration to establish interaction patterns for emerging technical and AI-native workflows; Define shared systems and patterns that create consistency across OpenAI’s enterprise and internal tools; Establish a high bar for information architecture, visual hierarchy, interaction quality, and craft across complex, multi-surface products.

Requirements

Have substantial experience owning data products, observability platforms, experimentation systems, analytics products, developer tools, AI/ML tooling, or similarly technical workflows; Are a strong product and systems thinker who can set direction in an ambiguous space and make durable interaction and platform decisions; Can make dense information feel calm, legible, and useful without oversimplifying important complexity; Are technically fluent, enjoy learning how underlying systems work, and can build credibility with engineers and other highly technical users; Have strong instincts for trust and understand how provenance, reliability, uncertainty, permissions, and edge cases affect whether people act on a system’s output; Have redesigned workflows spanning multiple tools, products, or surfaces and can create coherence across a broader ecosystem; Have strong UX/UI and interaction design skills, with a high bar for contemporary visual craft and information design; Can demonstrate how your work changed product decisions, accelerated learning, or improved the velocity of the teams you supported; Enjoy staying close to detailed workflows and hands-on design while helping shape a broader product vision; Are excited to define how engineers and AI agents will build, evaluate, and improve software together.

Benefits

Relocation assistance