Staff Product Designer (AI Track)

• 6+ years in product design, with a focus on complex work interfaces: EHR, admin panels, CRM, operational tools, or other systems where specialists perform their core work.
• Demonstrable experience designing human-AI interaction: interfaces where users verify, accept, edit, or reject model output. Building a 0-to-1 agentic product is ideal; experience with review-and-approval interfaces for automated decisions also qualifies.
• Hands-on prototyping in code using AI agents (Claude Code, Cursor, or equivalent) on an existing component library or codebase, not just design tools.
• Track record of contributing to a design system within product work: shipping reusable components, tokens, and documentation as part of feature delivery, not as a standalone project.
• Proven ability to gather requirements independently, finding problems, talking to users and stakeholders, and driving a solution to release without waiting for a mandated brief.
• Advanced English (B2+) and fluent Russian.
• Availability to work within CET-compatible hours.

• Experience in healthcare or telemedicine products: understanding of HIPAA, clinical compliance constraints, and the provider's role in decision-making.
• Experience leading a design team's transition to AI tools: setting up shared agent workflows, running workshops, driving adoption across peers.
• Hands-on user research with specialist users: usability testing and interviews with doctors, nurses, or clinical operators (not only end consumers).

• High-impact environment: A chance to contribute to a product-driven company in the medical tech space.
• Growth & compensation: Clear growth opportunities and a competitive compensation package.
• Remote-first: Fully remote long-term collaboration under a B2B model.
• Health & wellness: Health insurance after the probation period, plus sports & wellness compensation.
• Career development: Clear growth opportunities, including personalized English lessons via Preply.
• Time off: 19 paid vacation days annually, 4 additional wellness days each year, and paid sick leave for the first 5 working days.
• Culture: Thoughtful gifts for key life events and offline corporate events.

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MEDvidi is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and contractors. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

MEDvidi is an AI-powered mental healthcare platform setting a new standard for safe, effective, and scalable psychiatric care in the United States.

We combine licensed providers with proprietary AI tools to deliver consistent, outcomes-driven treatment for conditions like ADHD, anxiety, depression, and more. MEDvidi's technology automates charting, follow-ups, and treatment planning, freeing providers to focus on patient care while improving efficiency and clinical quality.

As Staff Product Designer, you will own the end-to-end design of MEDvidi's AI Track, the core line of AI-powered clinical tools where providers interact with model outputs in a regulated healthcare environment. Your design decisions directly shape how clinicians review, accept, and correct AI-generated notes, treatment plans, and recommendations, impacting both provider efficiency and patient outcomes.

You will work closely with product managers and engineers, reporting to the Director of Product. This is a senior IC role with no direct reports: you drive product design from problem definition through delivery, gather requirements independently, and bring solutions to release. Your scope includes provider-facing tools (Chart Review, AI Scribe, AI Receptionist), patient portal, and internal operational systems, all web-based.

• Zero-to-one in AI-first environment. You will shape new interaction patterns for agentic AI features: Chart Review, AI Scribe, AI Receptionist, where design quality directly affects clinical decisions.
• Prototype in real code, not Figma mockups. Prototyping happens in Claude Code and Cursor on the actual codebase with production components. Your prototypes go straight to engineering without redrawing.
• Co-own a design system built for humans and AI agents. You will evolve reusable components, tokens, and documentation that are readable by both your teammates and code-generation agents, a rare opportunity to define what design systems look like in an AI-native workflow.

• Own product design in your areas of the AI Track end-to-end: from defining the problem with the product manager, through user analysis, to working with engineers on the solution and accepting the build.
• Design and iterate on human-AI interaction patterns: interfaces where providers verify, accept, edit, or reject model output and bring those patterns to a state where other teams can reuse them.
• Ensure quality of design decisions: validate solutions with users when needed, perform design acceptance with engineering, analyze post-release results, and feed learnings back into the product.
• Contribute to the design system within product initiatives: turn your solutions into reusable components in Storybook with tokens, naming, and documentation that are usable by both designers and AI code-generation agents.
• Gather requirements independently: go to providers, medical operations, and product managers, identify problems, and bring back a proposal. There is no standing PM brief in AI Track, you shape the brief.
• Accelerate design delivery using AI tools: build functional prototypes in Claude Code or Cursor on the real codebase with production components; prototypes go to engineering without redrawing.

• You need a detailed brief before starting work. Requirements here are gathered by you, not handed to you, there is no PM or BA writing specs for AI Track.
• You prefer managing people over hands-on design. This is an IC role with no direct reports; the impact comes from the quality of your own design decisions.
• You design exclusively in Figma and hand off static specs. Prototyping at MEDvidi happens in code on the real codebase using AI agents, comfort with a code editor is a daily requirement, not a nice-to-have.