Priyamwada Pandey

Summary

Product Designer with 3+ years of experience designing AI-powered enterprise and consumer fintech products, including two-sided marketplace pricing and payment flows. I've designed from zero as one of the first designers at a B2B SaaS startup and for Rocket Mortgage's AI assistant. I specialise in simplifying complex, high-stakes workflows through agent configuration experience and decision-support interfaces.

Experience

Product Designer @ Heartland Community Network

BLOOMINGTON, IN ★ JUN 2026 – PRESENT

• Reconstructed pricing requirements by auditing product specs, API documentation and legacy designs, uncovering unsupported features and missing backend-driven pricing logic.
• Translated these findings into IA and payment flows for advertiser and broadcaster transactions, covering CPM pricing, negotiation, payments and payouts.

Conversational AI Design Intern @ Rocket Mortgage

DETROIT, MI ★ MAY 2025 - AUG 2025

• Designed adaptive AI guidance for Rocket Assist, personalizing post-offer experiences across 6.8M+ client conversations through loan-stage and home-specific context.
• Defined three interaction patterns to extend the redesigned experience, advancing them to roadmap discussions with the product lead for the next development cycle.
• Led usability testing with 8 Rocket Mortgage clients against defined success criteria; 92% found the redesigned experience more helpful and trustworthy than the existing assistant.

Product Designer @ Tars Technologies

BENGALURU, INDIA * MAR 2022 – JUL 2024

• Joined as one of the first two designers at Tars, establishing the design system, component library and design-dev handoff process from scratch, which served as the foundation of subsequent product work.
• Owned research and interaction design for the Asimov dashboard, enabling 15+ enterprise teams to configure and manage AI workflows; achieved 41% product adoption within the first quarter post-launch.
• Designed and shipped Chatbot Debug Mode for internal team, surfacing conversation flow errors and system issues in one place, cutting manual troubleshooting time by 70% across large-scale deployments.

Skills

Education