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 role is $200K – $310K, with generous equity, performance-related bonuses 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 Role
In this role, you'll lead the design foundations for generative UI across ChatGPT. You'll make nuanced design judgment explicit and usable by both product teams and models, influencing how OpenAI defines, evaluates, and trains for craft and taste.
A paramount part of this role is raising OpenAI's craft bar. This work extends beyond maintaining a component library: you'll define what excellent generative UI looks and feels like, establish when and why a model should choose particular interface patterns, and help new experiences strengthen a coherent system across platforms.
Working closely with research, engineering, product, and design, you'll build a continuous learning loop between design principles, generated interfaces, evaluation, and model behavior,shaping a system that becomes more coherent, capable, and expressive as model intelligence grows.
Responsibilities
- Define an exceptionally high standard for craft and taste, and translate that standard into principles and examples that influence both OpenAI's products and how models are trained and evaluated.
- Own and evolve the foundations for generative UI, including typography, sizing, spacing, layout, motion, accessibility, and responsive behavior.
- Establish a shared source of truth across platforms and improve the layout and rendering systems that connect tokens, components, patterns, widgets, learning blocks, and app-like experiences.
- Build a comprehensive GenUI design framework with clear, opinionated guidance about when and how models and product teams should use different interface patterns.
- Translate design judgment into high-quality training material and use prototyping and evaluation workflows to test generated interfaces, identify recurring issues, and improve model behavior.
- Study emergent model behavior and turn promising outputs into reusable, documented patterns.
- Partner with research, engineering, product, and design to evolve the system, its technical architecture, and the model's ability to use it.
- Help shape new generative experiences,including shopping, learning, and advanced reasoning,while ensuring their contributions strengthen the shared GenUI framework.
Requirements
- Bring an exceptional craft bar and are motivated to raise the quality, clarity, and distinctiveness of design across OpenAI.
- Have sophisticated design taste and can make the judgment behind it explicit, teachable, and useful as model-training and evaluation input.
- Have deep experience designing and evolving product or design systems at scale.
- See a design system as a living body of product judgment, not simply a collection of components.
- Have exceptional command of typography, layout, spacing, responsive behavior, accessibility, and interaction design.
- Can move fluently between foundational systems work and concrete, high-craft product experiences.
- Care as much about choosing the right default as designing the full range of possibilities.
- Can explain not only what a pattern should look like, but when a model or product team should choose it and why.
- Are skilled at turning ambiguous or inconsistent work into a coherent, extensible system.
- Are curious about model training, evaluation, emergent behavior, and how product design can become useful data.