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Senior Product Designer

Jazzx Ai 🇮🇳 Bengaluru, Bangalore North, India

Full-time Senior

You will own the end-to-end design for features and experiences, translating complex enterprise problems into intuitive, production-ready solutions. You will conduct user research and collaborate with cross-functional teams to validate concepts and iterate on designs.

Responsibilities

  • You will own the end-to-end design for features and experiences, translating complex enterprise problems into intuitive, production-ready solutions. You will conduct user research and collaborate with cross-functional teams to validate concepts and iterate on designs.

Requirements

  • The role requires 6–9 years of experience in UX/UI or product design with a strong focus on complex B2B or enterprise applications. Candidates must demonstrate proficiency in Figma, design systems, and the ability to navigate ambiguity while working with AI-powered products.

Key Skills

User research Figma Design systems Prototyping Wireframing Usability testing Complex B2B applications Enterprise AI products Cross‑functional collaboration Problem solving Information architecture Interaction design Visual design Agile methodology Storytelling Communication Ambiguity navigation Stakeholder management Data‑driven design Rapid iteration

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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