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BENCH+ PROFILE

Ykylas

Product Designer
AI-enabled product UX, design systems, and cross-platform digital product design

Senior product designer with substantial experience in AI-enabled, web, mobile, marketplace, commerce, telecom, healthcare, fintech, and insurtech product design. Best aligned with roles that require translating complex data-driven or AI-assisted workflows into usable interfaces, design systems, onboarding flows, dashboards, and MVP/product launch design.

BEST-FIT USE CASE

Designing and evolving AI-enabled B2B or B2C products where complex user flows, data visualization, onboarding, design systems, and close collaboration with product, engineering, domain experts, and stakeholders are central.

Not the primary fit: Roles centered on hands-on model engineering, backend implementation, infrastructure ownership, production MLOps, or pure visual branding without product discovery and UX responsibility.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Designed UI/UX for an AI-enabled health intelligence platform, including wearable onboarding, biometric data presentation, predictive analytics visualization, and explainable feedback patterns.

02

Managed full-lifecycle design for multiple MVPs involving AI-enabled experiences, predictive interfaces, subscription commerce, telecom, and service workflows.

03

Designed commerce and activation experiences across web, mobile, and retail touchpoints for large-scale telecom products, including a unified design system and component library.

04

Led UX redesign and product design for insurtech and marketplace platforms, covering registration, claims-related flows, mobile-first onboarding, checkout, partner dashboards, and consumer ticketing.

05

Interview discussion described structured product thinking on a health technology product, including target audience, business model, integrations, AI-generated recommendations, and the designer’s role in the team.

06

Interview discussion described sprint-based collaboration, direct communication with medical and business stakeholders, team reviews, and visual QA after development.

07

Interview discussion described checking AI-assisted or implemented design results across devices, against the design system, and for UX quality.

WORKING STYLE

How they show up

  • Communicates product context in a structured way, including audience, business model, team role, integrations, and AI-supported product behavior.
  • Works directly with business and domain specialists to clarify requirements and user needs.
  • Participates in sprint-based delivery with defined deadlines and team reviews.
  • Reviews implemented output across devices and against design-system expectations.
  • Uses AI tools as assistants while retaining human review for UX, consistency, and implementation quality.
  • Can work in a team or independently, with stated preference for collaborative product work.