About the job
About Read AI:
At Read AI, we are revolutionizing team collaboration by infusing intelligence into every conversation. Our platform enhances productivity across meetings, messages, and emails, enabling work to be completed more efficiently, intelligently, and with greater focus. We seamlessly integrate with tools like Zoom, Microsoft Teams, Google Meet, and Slack, ensuring teams remain synchronized and progress smoothly, regardless of their physical locations.
Supported by $81 million in funding from Smash Capital, Madrona, and Goodwater Capital, Read AI is on an exciting growth trajectory. If you’re passionate about shaping the future of AI-powered collaboration and eager to make a significant impact at a product-driven startup, we would love to connect with you.
The Role:
We are looking for a Product Designer to help shape the future of our AI-powered assistants and tools.
You will focus on two key areas:
- Search Copilot — our AI-driven partner that assists users in searching, analyzing, and transforming information across meetings, Slack, emails, and documents.
- Ada — our upcoming AI assistant and digital twin, where you’ll join us as we launch this product into the market and help ensure its success with real users.
Currently, these tools are technically robust, but your role will be to make them intuitive, trustworthy, and integral to the Read experience. You will design how AI manifests across various platforms, how users engage with probabilistic systems, and how assistants become genuine workflow partners.
This team operates at a fast pace. You’ll implement enhancements, prototype new interaction patterns, and work closely with Product, Data Science, and Engineering to responsibly push the boundaries.
What You’ll Do:
Design AI-Native Experiences
- Transform Search Copilot into a fundamental workflow tool, rather than just an entry point.
- Extend Ada's capabilities beyond email to create a more integrated assistant.
- Design for probabilistic systems, ensuring a balance of power, clarity, and trust.
- Define how AI integrates across web platforms and other touchpoints.
Enhance Usability & Integration
- Simplify complex AI outputs into actionable user experiences.
- Boost discoverability across product interfaces.

