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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, multi-step enterprise problems into intuitive, usable interactions. You will also conduct user research and partner with product and engineering teams to turn ambiguous concepts into validated, production-ready designs.

Responsibilities

  • You will own the end-to-end design for features and experiences, translating complex, multi-step enterprise problems into intuitive, usable interactions. You will also conduct user research and partner with product and engineering teams to turn ambiguous concepts into validated, production-ready designs.

Requirements

  • The role requires 6–9 years of experience in UX/UI or product design, specifically within complex B2B or enterprise environments. Candidates must demonstrate proficiency in Figma, design systems, and the ability to design human-AI interactions while navigating technical constraints.

Key Skills

Figma Design Systems Human‑AI Interaction Design UX Research Prototyping Wireframing Interaction Design Agile Methodology Cross‑functional Collaboration Stakeholder Management Data Visualization Usability Testing Product Strategy User Flow Mapping Visual Design Communication Problem Solving Enterprise B2B Experience Complex System Design

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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