Professional Overview
David Figueroa currently serves as the Director of Engineering at FindMine, a position he has held since April 2020. His tenure at FindMine reflects a significant leadership role within the company’s engineering division, overseeing technical teams and contributing to the development and scaling of FindMine’s AI-powered styling platform.
Located in New York City, David maintains a robust professional network of over 500 connections on LinkedIn, indicating a well-established presence in the technology and retail industries.
Education
David holds a degree from Columbia University’s Fu Foundation School of Engineering and Applied Science, reinforcing his technical expertise and foundation in engineering principles crucial for his leadership in a technology-centric company.
Professional Experience at FindMine
FindMine is an AI-driven enterprise specializing in automated, personalized outfit recommendations designed to enhance customer engagement, increase average order value (AOV), and improve overall conversion rates for global retail brands. David's role as Director of Engineering entails managing the design, execution, and continuous improvement of FindMine's core AI outfit recommendation engine and related technologies.
FindMine’s platform achieves 90% product coverage in half the time for retailers, deploying personalized styling recommendations everywhere from homepage placements to post-purchase suggestions, all orchestrated through AI-powered visual merchandising and strategic upselling. David’s engineering leadership supports these innovations, ensuring seamless omnichannel integration and real-time performance optimization for partner brands.
Key Company Highlights Relevant to David’s Role
- AI-Powered Outfitting: The platform intelligently crafts thousands of outfit combinations from limited manually created sets, enabling FindMine clients to exponentially increase their shoppable styled looks with minimal human input.
- Measured Business Impact: FindMine powers apparel personalization that directly drives shopper engagement, increases units per transaction, and enhances customer lifetime value through follow-up communications and multiple retail touchpoints.
- Client Success: FindMine supports prominent global retailers including category specialists such as DXL Big & Tall, demonstrating its application across diverse fashion markets.
- Operational Excellence: FindMine’s product teams, under technical leadership including David, emphasize rapid deployment ("weeks, not months") and continuous iterative improvement with dedicated client success check-ins.
Recognitions and Scholarships
David is a Gates Millennium Scholar, an honor awarded to only 1,000 students nationally for exceptional academic achievement in STEM fields, with scholarship coverage for up to 10 years. This distinction supports his established credibility in the engineering discipline and signals a sustained commitment to academic and professional excellence.
Skills and Experience Profile
- Over 5 years at FindMine focused on engineering leadership.
- Expertise in software and AI product development targeting personalized retail experiences.
- Proven capability in aligning technology solutions with brand DNA and merchandising strategies.
- Background from an Ivy League engineering school, suggesting strong technical and analytical skills.
- Experience leveraging AI and machine learning to optimize complex product assortments and shopper journeys.
Location and Network
- Based in New York City, a major hub for retail innovation and technology development.
- Maintains an extensive professional network suitable for collaborative ecosystem engagement and industry insight gathering.
This report consolidates David Figueroa’s high-value attributes as Director of Engineering at FindMine, highlighting his technical leadership in creating scalable AI personalization products that drive measurable retail outcomes. His academic foundation combined with leadership in a cutting-edge AI retail company aligns his profile with key industry trends in AI-driven commerce and personalized customer experiences.
