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Overview
Lead / Manager

Head of Product Design

Confirmed live in the last 24 hours

Akido Labs

Akido Labs

California
On-site
Posted April 10, 2026

Job Description

Akido builds AI-powered doctors. Akido is the first AI-native care provider, combining cutting-edge technology with a nationwide medical network to address America’s physician shortage and make exceptional healthcare universal. Its AI empowers doctors to deliver faster, more accurate, and more compassionate care.

Serving 500K+ patients across California, Rhode Island, and New York, Akido offers primary and specialty care in 26 specialties—from serving unhoused communities in Los Angeles to ride-share drivers in New York.

Founded in 2015 (YC W15), Akido is expanding its risk-bearing care models and scaling ScopeAI, its breakthrough clinical AI platform. Read more about Akido’s $60M Series B. More info at Akidolabs.com.

The Opportunity

  • We are hiring a Head of Product Design to lead and scale product design across Akido’s EMR and AI clinical tools. You will manage a small team while remaining hands-on in the most critical product initiatives.
  • Sitting at the center of Product and Engineering, you will shape how user insight informs decisions, define the standards that guide execution, and ensure our products meet a high bar for clarity, efficiency, and trust in high-stakes clinical environments.
  • We believe the way products are designed and built is changing rapidly. At Akido, we’re interested in building a modern design function that takes advantage of emerging tools - from AI-assisted prototyping to design systems that map directly to production components. This role will help define how design works in an AI-native product organization: shortening the path from concept to prototype to implementation, experimenting with new workflows and tools, and building systems that allow a small team to move with exceptional speed and clarity.

 

What you’ll do

Own UX Across EMR & AI Workflows

  • Lead end-to-end design for core EMR and AI-powered clinical workflows.
  • Translate complex clinical, regulatory, and operational requirements into clear, efficient interfaces that reduce cognitive load and improve workflow efficiency for providers.
  • Design AI-assisted experiences that are transparent, trustworthy, and usable in real-world care settings.
  • Use rapid prototyping and modern tooling to shorten the cycle between concept, validation, and engineering implementation.
  • Maintain design quality through structured reviews and close implementation partnership with Engineering.

Establish Scalable Design Systems & Tooling

  • Build and maintain a durable design system that supports velocity and coherence across EMR and AI products.
  • Create consistency in designs and interaction patterns across multiple complex clinical workflows.
  • Introduce tooling and automation that reduce friction between design and engineering
  • Experiment with AI-assisted design workflows (e.g., rapid prototyping, design-to-code exploration, automated documentation), while maintaining a high bar for usability and safety.

Lead User Insight & Experience Strategy

  • Partner with Product early in problem definition to surface workflow realities, usability risks, and unmet user needs.
  • Lead design-focused user research initiatives across clinicians, care teams, and patients, and translate research into clear UX principles and experience direction.
  • Define and track UX-focused success metrics such as workflow efficiency, error reduction, AI feature adoption, and provider satisfaction.
  • Ensure experience coherence as the platform evolves across EMR and AI surfaces.

Lead &a

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