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BJAK

Product Designer (UX)

Sorry, this job was removed at 04:10 p.m. (PST) on Friday, Mar 13, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

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About the Role

A1 is building a proactive AI system that carries work forward across conversations, tools, and time.

You will shape how users experience AI from the ground up. This is an early, high-ownership role where your design decisions will directly influence core user flows, interaction models, and product direction.

You will design systems and journeys – how users discover value, interact with intelligence, and build trust in an AI-driven product.


What You'll be Doing
  • Lead end-to-end design for one or more AI product surfaces, from early concept to production.

  • Design core user flows that make advanced AI capabilities feel simple, natural, and usable.

  • Work closely with product, engineering, and ML teams to explore problems, test ideas, and ship quickly.

  • Create wireframes, user flows, prototypes, and high-fidelity UI for web and mobile.

  • Rapidly prototype and iterate on new interaction models, especially for AI-driven experiences.

  • Conduct usability testing and synthesize insights to refine product direction.

  • Help define and evolve A1’s design system to support speed, consistency, and scalability.

  • Advocate for user experience while balancing product velocity and technical constraints.


What You Will Need
  • Proven experience as a product or UX designer, with a portfolio spanning web and mobile products.

  • Strong proficiency in Figma and rapid prototyping tools.

  • Solid understanding of interaction design, layout, hierarchy, and visual systems.

  • Experience working closely with engineers and product partners in fast-moving environments.

  • Comfort designing from incomplete inputs and evolving requirements.

  • Ability to simplify complex workflows into clear, intuitive user experiences.

  • Willingness to take ownership from problem definition through shipped solution.


Nice to have
  • Experience designing AI-powered or data-heavy products.

  • Familiarity with usability testing and qualitative research methods.

  • Experience working on zero-to-one products or early-stage teams.

  • Interest in emerging UX patterns for AI, automation, or intelligent systems.

How We Work

Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company’s mission.


Interview process

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

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