Description
Compensation
$245K – $310K • Offers Equity
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.
- 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.
About the Team
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, helping engineers, researchers, and product teams understand complex systems, learn from what they ship, and operate reliably at scale.
About the Role
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 is more than a dashboard-design role. You’ll define the interaction models that take someone from a vague question or unexpected signal to a trustworthy answer and clear next step. You’ll work closely with engineers, researchers, data scientists, and product teams to understand the mechanics of their work and make dense technical systems coherent without flattening the details that matter.
You’ll also help establish greater consistency across OpenAI’s enterprise and internal tools, developing durable patterns that support AI-native workflows and enable other designers to build more effectively.
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.