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OpenAI

Builds AI models and the ChatGPT assistant

Product Designer - Engineering Acceleration

Product DesignConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have substantial experience owning data products, observability platforms, experimentation systems, analytics products, developer tools, artificial intelligence or machine-learning tooling, or similarly technical workflows.
  • Be a strong product and systems thinker who can set direction in an ambiguous space and make durable interaction and platform decisions.
  • Make dense information feel calm, legible, and useful without oversimplifying important complexity.
  • Be technically fluent, enjoy learning how underlying systems work, and 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 create coherence across a broader ecosystem.
  • Have strong user experience, user interface, and interaction design skills, with a high bar for contemporary visual craft and information design.
  • Demonstrate how design work changed product decisions, accelerated learning, or improved the velocity of supported teams.
  • Stay close to detailed workflows and hands-on design while helping shape a broader product vision.
  • Be excited to define how engineers and artificial intelligence agents will build, evaluate, and improve software together.

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 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 coherent product experiences.
  • Use prototyping, research, and rigorous design exploration to establish interaction patterns for emerging technical and artificial-intelligence-native workflows.
  • Define shared systems and patterns that create consistency across enterprise and internal tools.
  • Establish a high bar for information architecture, visual hierarchy, interaction quality, and craft across complex, multi-surface products.

About the Company

OpenAI

Builds AI models and the ChatGPT assistant

OpenAI researches and builds artificial intelligence models and turns them into products for people, developers, and businesses, with a stated mission of making sure artificial general intelligence benefits all of humanity. Its launch of ChatGPT in 2022 brought generative AI into everyday use. People use ChatGPT to ask questions, write, code, and analyze files, developers build OpenAI's models into their own apps through its API, and its Codex agent works through coding tasks on its own. OpenAI earns money from ChatGPT subscriptions, business plans, and API usage. Sam Altman, Elon Musk, and others co-founded it in 2015; it is based in San Francisco and overseen by a nonprofit, the OpenAI Foundation.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$207.5B
Headquarters
San Francisco, CA
Founded
2015

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