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Senior Product Designer

Sixsense Pte Ltd Remote (🇮🇳 Bengaluru, Bangalore North, India)

Remote $100,000 - $130,000 Full-time Mid-level

Lead end-to-end product design and UX research for a semiconductor manufacturing platform, translating user findings into wireframes and pixel-perfect UI. Collaborate cross-functionally to prioritize features and quantify the value of design decisions through success metrics.

Responsibilities

  • Lead UX research and run customer discovery and usability sessions
  • Own end-to-end product design and translate features from problem definition to wireframes, prototypes, and pixel-perfect UI
  • Prioritize ruthlessly and make trade-offs explicit
  • Collaborate cross-functionally with developers, data scientists, QA, and project managers
  • Quantify the value created and define success metrics for every project

Requirements

  • 4+ years designing web/SaaS products
  • Strong portfolio demonstrating UX research, interaction design, and visual craft
  • Proficiency in Figma
  • Comfort with Adobe Illustrator/Photoshop or equivalent
  • Excellent written and verbal communication

Benefits

  • Flexible working culture
  • Opportunity to work directly with founders and across product, business, and engineering
  • Team discussions on product and business growth
  • Frequent games and learning sessions with teammates
  • Insurance, learning credits, and other benefits

Key Skills

Product design UX research Interaction design Visual craft Figma Adobe Illustrator/Photoshop Cross-functional collaboration Communication Problem-solving Design thinking User-centered design AI-native Data analysis Quantification Trade-off analysis

About Sixsense Pte Ltd

SixSense builds AI systems that reduce wafer exposure and accelerate root cause analysis in semiconductor wafer fabs and assembly & test operations. We transform inspection, metrology, and test data into early containment intelligence — helping manufacturers minimize the total economic impact of yield incidents. Our product suite includes AI-ADC (AI-powered automated defect classification for optical and SEM inspection images), along with detection and traceability systems that identify systemic wafer patterns, quantify exposure, and isolate suspect tools before issues escalate into major yield events.

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