Product Designer: AI Powered Interfaces

WhyHireWrong?Capon Bridge, WV
4d

About The Position

Most AI products today do too much. They surface information users did not ask for, trigger actions without explanation, and replace familiar flows with unpredictable ones. The result is not intelligence. It is noise. This role exists to fix that. You will design interfaces where AI does real work in the background and the user stays in control of what happens. That means knowing when to show the AI and when to hide it. When to guide and when to get out of the way. The work spans research, interaction design, visual execution, and business judgement. You will need all four.

Requirements

  • AI interface design in production You have designed interfaces that surface machine learning outputs to real users: recommendations, scores, flags, or automated decisions. You made deliberate choices about when to show the AI reasoning and when to abstract it, and you can explain why.
  • End to end ownership of complex flows You have owned a multi step product flow from research brief through to shipped and measured outcome. Not contributed to one. Not handed off after wireframes. Owned it.
  • Design decisions grounded in data You have used quantitative signals — funnel drop off, conversion rates, error rates, time to complete — alongside qualitative research to make and prioritise design decisions. You can show work where data changed what you built.
  • Fintech or regulated product experience You have designed for financial, payments, insurance, or similarly regulated products where the cost of confusion is not just frustration but money lost or trust broken. You understand what KYC, AML, FX, and fee transparency mean for a user flow.
  • Accessible and inclusive design practice You have designed for users across different contexts, literacy levels, languages, or abilities as a core part of your process, not as a post launch audit. You can articulate specific decisions you made and why.

Nice To Haves

  • Calm design instinct: You default to reducing cognitive load, not adding features. When in doubt you remove, not add.
  • Ethical interface judgement: You recognise dark patterns when business goals push toward them and you propose alternatives rather than just flagging the problem.
  • Cross functional fluency: You work directly with engineers, product managers, compliance, content, and legal. You communicate design decisions without jargon and without defensiveness.
  • Voice and conversational design experience: Familiarity with designing for chat, voice, or LLM powered interfaces is a strong advantage.
  • Figma mastery: Component architecture, auto layout, variables, and design token management at a level that makes handoff frictionless for engineers.

Responsibilities

  • AI assisted flows: Design interfaces where machine learning outputs — recommendations, risk flags, automated decisions — are surfaced to users without creating confusion, anxiety, or loss of control
  • Onboarding and activation: Own the flows that bring new users from zero to first meaningful action, with particular focus on clarity at moments of financial decision making
  • Voice and conversational UX: Design interaction patterns for voice and chat based entry points, where the absence of a visual interface makes clarity of language and flow structure even more critical
  • Accessible and inclusive design: Build for users across geographies, languages, and levels of financial literacy, accessibility is a structural requirement here not a final checklist item
  • Design system ownership: Create and maintain components and patterns that scale across a global multi market product without fragmenting into inconsistency
  • Research and experimentation: Run usability sessions, analyse funnel data, design A/B tests, and translate findings into concrete design decisions with measurable outcomes
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