Joseph JP Prindle

Chief Technology Officer at Phillips

New York, New York, United States

About Joseph JP Prindle

Joseph JP Prindle is Chief Technology Officer at Phillips. Location: New York, New York, United States.

Innovative Technology Executive and Entrepreneur with over 25 years of experience aligning deep technical innovation—spanning agentic AI, machine learning, and advanced data science—with strategic business execution. I specialize in bridging the gap between cutting-edge engineering and high-level fiscal ROI, having generated billions in enterprise value across global legacy brands, startups, and unicorns. Recognized for my ability to attract, develop, and retain world-class talent, I foster lean engineering cultures rooted in rapid delivery, absolute accountability, and cross-functional agility. EXECUTIVE HIGHLIGHTS CTO, Phillips: Spearheaded a global digital transformation, including a 100% cloud migration (AWS) that slashed infrastructure costs by 41%, consolidated the tech budget by 25% ($5M+ projected savings), and engineered a high-velocity development framework that reduced cycle times from 1 month to 1 week. Built a complete new auction platform and ecosystem from the ground up. SVP of Data & Analytics, Sotheby’s: Drove global technology initiatives at scale, architecting digital systems that helped increase revenue by $2B—marking the best fiscal year in the company's 279-year history. VP of Engineering & Data, StockX: Built and scaled the data, ML, and engineering organizations that advanced the platform to its $1B+ unicorn valuation. CTO & Technical Co-Founder, RAND Corporation Spinoff: Co-founded and scaled RAND’s first commercial spinoff through to a successful acquisition by Moody’s. Emmy Award Winner: Honored for Technology and Engineering achievement (pioneering Video Ad Insertion architecture). CORE COMPETENCIES & TECHNICAL OVERSIGHT Leadership & Strategy: Digital Transformation, M&A Due Diligence & Tech Integration, Fiscal Optimization, Lean Engineering Culture, Intellectual Property (IP) & Patent Architecture. AI, Models & Frameworks: Agentic AI/LLMs, Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (RNNs/CNNs), Distributed Computing, Predictive & Bayesian Modeling. Data Infrastructure & Architecture: Snowflake, Databricks, BigQuery, AWS, GCP, Data Pipelines (Airflow, Fivetran), Data Governance, Advanced ETL/ELT. Platforms & Engineering Ecosystems: Microservices, Serverless, Docker, Kubernetes, Kafka, Spark, Go, Python, React, Java, C++

Skills

  • Large Language Models (LLM)
  • Business Strategy
  • SQL

Additional experience

  • Chief Technology Officer

    YankeeKicks

    January 2024 – December 2025

Education

  • , Wayne State University
  • UCLA