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Product Designer

Devrev 🇮🇳 Bengaluru, Bangalore North, India

Full-time

You will own the end-to-end design of messaging experiences, defining interaction patterns for human-to-computer communication. Additionally, you will collaborate with engineering to implement these patterns and mentor junior designers to improve team output.

Responsibilities

  • You will own the end-to-end design of messaging experiences, defining interaction patterns for human-to-computer communication. Additionally, you will collaborate with engineering to implement these patterns and mentor junior designers to improve team output.

Requirements

  • The role requires 5-8 years of product design experience with expert proficiency in Figma and prototyping tools. Candidates must demonstrate a deep understanding of conversational interfaces and the ability to handle complex interaction design challenges.

Key Skills

Product design Messaging experience design Interaction pattern definition Conversational interface design Figma Prototyping tools (e.g., Principle, ProtoPie) Collaboration with engineering Implementation hand‑off Mentoring junior designers User research Usability testing Information architecture Microcopy writing Design systems Responsive design Mobile‑first design High‑fidelity mockups Wireframing Design thinking Agile workflow Cross‑functional teamwork Problem solving Communication skills Stakeholder alignment Iteration based on feedback AI‑enhanced design tools

About Devrev

Computer is the most precise, efficient, and safe AI platform for enterprise search, employee service/help desk, and customer support (including voice). It works by unifying all your existing systems and data into a patented, AI-ready knowledge graph: Native Shared Memory. Every tool, every team, every customer conversation lives in this compounding context. So every answer and action is grounded in what your company knows, and how it operates. With permissions and safety guardrails respected, always. PROVEN EFFICIENCY, PRECISION, AND SAFETY We tested Computer against the market-leading AI on enterprise data: – 48% more accurate – 4.4x fewer tokens used – Cost stays flat at 256x data growth (vs. 29% growth) These results are from “Enterprise-Bench” – the AI industry’s first open, vendor-neutral benchmarking tool. Developed with Laude Institute, validated by Professor Alexandros Dimakis (UC Berkeley). The benchmark model, dataset, and traces are all public. (Feel free to get in

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