UI/UX Designer - AI-Native Healthcare SaaS | Zenara Health

Actively Reviewing the Applications

2070 Health

India Full-Time INR 18–30 LPA

Posted 6 days ago • Apply by June 8, 2026

Job Description

This is not a role with 2070 Health

UI/UX Designer — AI-Native Healthcare SaaS | Zenara Health

Location: Remote across India (4-8 hours overlap with US Pacific time)

Type: Full-time

Reports to: Chief of Staff

About The Company - Zenara Health

Zenara Health is a technology-oriented mental healthcare organization focused on enhancing accessibility and quality of mental wellness services. We integrate AI-driven platforms with professional clinical care to offer personalized and effective mental health solutions, fostering a seamless digital experience for both patients and providers. We are a startup, not merely a department.

About The Role

If you're a designer who needs detailed specifications and pixel-perfect handoffs to start work, or who can't design at AI velocity, this role may not suit you.

Our users are clinicians. They spend their days treating patients with complex psychiatric conditions. When they open Zenara, the interface needs to disappear — no learning curve, no cognitive load, just the information they need to make better clinical decisions. That's the design challenge: make powerful AI tools feel simple for people who didn't go to medical school to learn software.

You'll be Zenara's dedicated designer, owning the entire visual and interaction layer of our products. You'll work with our Product lead (Chief of Staff) who sets strategic direction — your job is to bring it to life in AI-native design workflows and ship it with engineering.

This means everything: our assessment product, our care/practice product, our platform layer, patient-facing interfaces, clinician dashboards, and AI-powered interaction patterns. You'll design for multiple user types — psychiatrists, practice managers, patients, and billing staff — each with different needs and technical comfort levels.

This is product design with high clinical stakes and AI-native velocity. Poor UX doesn't just frustrate users — it can impact patient care. You'll need to balance simplicity with clinical depth, speed with accuracy, and innovation with familiarity. And you'll need to design in days, not weeks, leveraging AI tools to iterate rapidly while engineering refines in code.

What You Will Own:

Product Design Across All Zenara Products

You will own UI/UX design for our assessment product, our care/practice product, and our platform layer. Create wireframes, prototypes, and high-fidelity designs. Design every screen, every interaction, every state.

AI-Native Design Workflows

You will rapidly explore, iterate, and validate design ideas using AI tools and prompting—prioritizing speed to usable product over pixel-perfect mockups. Produce "good enough to build" design direction quickly, knowing engineering will iterate and refine in code using AI-assisted development. You'll use AI to accelerate concept generation, variant exploration, and copy iteration, getting to shippable UX in days instead of weeks.

UX Experimentation and Data-Driven Iteration

You will define UX hypotheses and evaluate feature adoption using quantitative signals. Partner with product/engineering to design and interpret UX experiments (e.g., A/B tests, phased rollouts). Extract insights from usage data to inform design iteration — not just qualitative feedback, but hard metrics on what actually works.

Design System and Component Library

You will maintain and evolve the Zenara design system. Define components, patterns, and design tokens. Ensure consistency across all products while allowing for product-specific needs.

User Research and Usability Testing

You will conduct user research and usability testing with real clinical users. Interview psychiatrists, observe workflows, identify pain points, and validate design decisions with actual user feedback.

Clinical Workflow Design

You will design for healthcare users: clinicians who need speed, patients who need warmth, admins who need clarity. Understand clinical workflows deeply enough to design interfaces that support them naturally.

Accessibility and Responsive Design

You will design for accessibility (WCAG compliance) and responsive layouts. Ensure interfaces work for users with disabilities and across different devices and screen sizes.

Collaboration with Product and Engineering

You will collaborate closely with Product (strategic direction) and Engineering (implementation) on sprint deliverables. Balance design ideals with engineering constraints. Ensure designs are implementable and shipped on time. Work in rapid iteration cycles where engineering often refines and improves designs in-code.

AI Interaction Design

You will design AI-powered interaction patterns — chat interfaces, AI-generated content displays, recommendations, and automated workflows. Make AI features feel natural and trustworthy to clinical users.

Your First 90 Days:

Week 1-2: Immerse yourself. Use Zenara's products. Conduct user interviews with clinical team members. Review existing designs and identify the biggest usability gaps and inconsistencies. Experiment with AI design tools in your workflow.

Month 1: Establish the design system foundation — core components, color palette, typography, spacing. Begin redesigning the highest-priority screens based on user feedback and strategic direction. Ship first "good enough to build" designs and iterate with engineering.

Month 2-3: Ship the first wave of design improvements. Conduct usability testing with clinical users. Run your first UX experiment (A/B test or phased rollout). Analyze adoption metrics and iterate based on data. Build AI-native design workflows and rapid handoff processes with engineering.

Ongoing: Continuously improve product design based on user feedback, usage data, and product evolution. Grow the design system. Establish design quality standards. Instill confidence in Product leadership that design is in effective hands and moving at AI velocity.

Values & Vibe (Who You Are):

You view design as primarily about usability, clarity, and velocity rather than aesthetic expression. You are the person who steps into a complex product and makes it simple — not by removing features, but by organizing them thoughtfully and presenting them clearly. You can move fast because you're comfortable using AI tools to accelerate your thinking and execution.

You find design that prioritizes beauty over function unacceptable. You design for users, not for design awards. You understand that the best interface is one that users don't notice because it just works. And you understand that in an AI-native startup, perfect pixels can wait — shippable direction can't.

You have experience designing for healthcare or complex enterprise products. You understand how to balance information density with simplicity, how to design for expert users who value speed, and how to make powerful tools accessible to non-technical users.

You are a strong Figma user — you think in components, variants, and design systems. You can move quickly from concept to high-fidelity prototype. You collaborate effectively with engineers and understand implementation constraints. You're comfortable with engineering iterating on your designs in-code, knowing that's often faster than another Figma round.

You have conducted user research, usability testing, and UX experiments. You validate design decisions with user feedback AND usage data, not personal preferences. You iterate based on quantitative signals (adoption rates, completion rates, drop-off points) as much as qualitative feedback.

What Success Looks Like:

Products are visually consistent and follow a coherent design system
Users complete tasks efficiently without training or support
Design cycle time is measured in days, not weeks — you ship "good enough to build" direction and iterate with engineering
UX experiments are running — you have data on feature adoption, conversion rates, and design variants
Usability issues are identified and resolved before features ship
Design handoffs to engineering are smooth and clear
Accessibility standards are met consistently
User research informs design decisions — designs are validated with real users and usage data
Clinical users trust the interface because it supports their workflows naturally
The design quality is higher, more consistent, and more user-centered than it was upon your arrival

Schedule:

Evening IST hours with 4-8 hours of daily overlap with US Pacific** (9am-5pm PT). You can suggest the schedule that suits you best — our focus is on overlap and collaboration availability rather than strict clock-in times.

Requirements

Required (Must Have):

4-8 years as UI/UX Designer for B2B SaaS or healthcare products — you have designed complex enterprise applications
Expert Figma skills — you think in components, variants, and design systems. You can create design systems from scratch and maintain them over time
Comfort using AI tools (via prompting and experimentation) to accelerate design thinking, reduce cycle time, and get to shippable UX in days—not weeks
Ability to define UX hypotheses and evaluate feature adoption using quantitative signals — you design experiments, interpret results, and iterate based on data
Comfort partnering with product/engineering to design and interpret UX experiments(e.g., A/B tests, phased rollouts)
Ability to extract insights from usage data to inform design iteration — not just user interviews, but actual usage metrics
Portfolio showing healthcare or complex enterprise product design — (Include your portfolio link with your application. Case studies preferred.)
Experience designing for clinical workflows— EHR interfaces, patient-facing tools, dashboard-heavy products, or similar
Understanding of accessibility standards (WCAG) and inclusive design principles
Comfort working with product direction from a non-designer — you translate strategy into screens without needing prescriptive requirements
Strong English communication skills — Async-first, produces clear design rationale, user research findings, and design specifications

Strongly Preferred:

Behavioral health or mental health product design experience
Experience designing AI-powered interfaces (chat, recommendations, generated content)
User research and usability testing experience with clinical users
Motion design and micro-interaction skills
Experience with design systems at scale
Analytics platform experience (Mixpanel, Amplitude, etc.) for UX metric tracking

Nice to Have: