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Enterprise Product Designer:130726

Whatfix 🇮🇳 Bangalore North, India

Full-time Senior

Own the end-to-end design of features across the Digital Adoption Platform's guidance creation, distribution, and management surfaces. Lead the invention of AI-native interaction models and conduct real-world experimentation to refine the user experience.

Responsibilities

  • Own the end-to-end design of features across the Digital Adoption Platform's guidance creation, distribution, and management surfaces. Lead the invention of AI-native interaction models and conduct real-world experimentation to refine the user experience.

Requirements

  • Requires 4+ years of product design experience in SaaS or enterprise software with a portfolio demonstrating complex problem-solving. Candidates must actively use AI tools in their current design workflow and possess strong UX fundamentals.

Benefits

  • Medical Insurance
  • Free Lunch & Dinner Buffet
  • Doorstep Cab Drop Facility
  • Education Sponsorship
  • Internal Job Transfer & Global Mobility Programs
  • Opportunities To Represent Company At Global Events
  • Uncapped Incentives
  • Bonus Plans

Key Skills

product design SaaS design enterprise software design AI tools UX fundamentals complex problem-solving AI-native interaction models

About Whatfix

Whatfix is the AI-native Digital Adoption Platform built for the modern enterprise. It helps organizations close the adoption gap by enabling users to use software effectively in the flow of work, while providing visibility into where users struggle. Whatfix delivers a unified platform that combines in-app guidance (DAP), hands-on simulation training in a risk-free environment (Mirror), and adoption analytics (Product Analytics) to create a continuous adoption loop. Powered by ScreenSense engine, the platform understands user context and intent to deliver real-time guidance, personalized training, and actionable insights. With this approach, enterprises can accelerate time-to-proficiency, standardize workflow execution, improve data accuracy, reduce support tickets, and maximize the ROI of their digital investments across complex enterprise applications.

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