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Staff Product Designer

Jazzx Ai 🇮🇳 Bengaluru, Karnataka, India

Full-time

Own the end-to-end product design process, from discovery and prototyping to delivering production-ready interfaces. Collaborate with product and engineering teams to translate complex business requirements into intuitive, accessible, and scalable user experiences.

Responsibilities

  • Own the end-to-end product design process, from discovery and prototyping to delivering production-ready interfaces. Collaborate with product and engineering teams to translate complex business requirements into intuitive, accessible, and scalable user experiences.

Requirements

  • Requires strong product thinking, exceptional visual and interaction design skills, and the ability to simplify complex workflows. Candidates should have experience in early-stage environments and a deep understanding of design systems and user-centered design principles.

Key Skills

Product design End‑to‑end design process Discovery research Prototyping Production‑ready UI Figma Design systems User‑centered design Accessibility Complex workflow simplification Cross‑functional collaboration Early‑stage startup experience Visual design Interaction design Communication Problem solving

About Jazzx Ai

About JazzX AI: Vision: Enterprises operating on institutional intelligence—governed, self-improving, and scalable beyond individual expertise. JazzX is defining the future of enterprise work—by building AI-native digital workers that actually get the job done. We believe enterprises don't scale expertise—they lose it. Knowledge stays trapped in individuals, judgment gets applied inconsistently, and the best talent spends time on work that should run itself. We're changing that. JazzX transforms messy enterprise reality into institutional intelligence: governed digital workers that capture expert judgment, make every decision explainable, and continuously improve through real-world execution. The result is faster decisions, higher-quality outcomes, and reliable execution at scale—in domains where getting it wrong isn't an option. We're starting with lending and due-diligence workflows—complex, regulated, high-stakes. From here, we're building the backbone for enterprise intelligen

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