Songfinch is a creator marketplace where independent artists earn meaningful income making personalized songs. More than 400,000 songs delivered and $35M+ paid to artists. The mission is to amplify human creativity and create real one-to-one fan connections.

Key Impacts:

• Rebuilt the artist–fan collaboration flow to increase clarity, speed, and creative alignment

• Launched a new post-purchase experience that significantly increased sharing and engagement

• Increased conversion with a video-driven artist feed and a simplified storytelling path for customers

• Delivered a full video pipeline that expanded how artists create and how customers experience their songs

• Shipped new artist tools that improved workflow, fan engagement, and monetization

• Meaningfully increased monetization per song across add-ons, flow improvements, and merchandising

• Launched a marketing data lake to unify performance, behavioral, and transactional data to drive marketing efficiency.

AI and Creative Tech:

• Built the Instant Song platform using modern ML, voice models, and creative-enhancement workflows

• Applied RAG (Qdrant, Chroma) and models from OpenAI, Meta, and Anthropic to scale quality and speed

• Introduced tools like Whisper, SVC, and RVC to support artist creativity while keeping humans central

• Added Lyric Video generation capabilities that enhance every song we deliver

Engineering Acceleration:

• Adopted Claude Code, Cursor, and GitHub Copilot to drive higher velocity and code quality

• Streamlined product->engineering workflows to focus on high-leverage, mission-critical work

• Strengthened platform foundation to support new product lines and higher marketplace throughput

Songfinch is shaping a future where artists can build fans, earn a living, and create unforgettable moments at scale.

https://www.inc.com/magazine/202309/rebecca-deczynski/whats-a-custom-music-platform-anyway-chicago-startup-songfinch-has-36-million-answer.html

Supported Product Engineering teams in the Facebook App. Built new features and partnered with Machine Learning/Retrieval teams to improve personalization and engagement for Facebook Dating. Worked with Product Infrastructure teams to improve App Health and Productivity.

Led Product and Design for Fanatics’ $3.4B global commerce business, spanning North American e-commerce, Fanatics Brands, Strategic Retail, and International.

Fanatics pioneered Vertical Commerce (v-commerce): an end-to-end model that designs, manufactures, and distributes exclusive merchandise. Our organization partnered with engineering to build the product capabilities that powered this model, enabling real-time responsiveness to fan demand and delivering differentiated products that couldn’t be commoditized.

This platform became the engine behind major industry partnerships, including the NFL and Nike deal where Fanatics began designing, manufacturing, and distributing all Nike fan gear sold at retail. Our work accelerated Fanatics’ ability to deliver timely, high-quality merchandise across all channels and expand globally with stronger structural advantages.

5 year Supply Chain Strategy

Mobile App & SDK Engineering & Product team in San Mateo CA

Mobile API Team in Boulder CO

Retail Kiosk Team in San Mateo CA/Boulder CO