Nicholas Sherwin

About Nicholas Sherwin

Data-driven product leader with 10+ years experience leveraging qualitative and quantitative insights to build, scale and optimize UGC ecosystems, creator monetization tooling and drive step-change revenue growth at a scale of 100s of millions of dollars for companies such as Twitch, Rec Room and Marvel Snap. Passionate about blending data science with product strategy to create seamless user experiences, empower developer/creator engagement and monetization, drive user engagement through delight, and scale monetization models while ensuring that the discovery/delivery of all products and experiences comes from a genuine place of empathy and inclusion through rigorous UXR and analysis- Specialities: Product Strategy & Vision, Product Analytics, User Generated Content Ecosystems (UGC), Game Economies, Subscription Products, Statistical Analysis, A/B Testing, Data Visualization, User Experience Research (UXR), Business Intelligence - Languages & Frameworks: Python | Deep Learning (Keras/Tensorflow, Pytorch)| GenAI | Kiro | Cloud Services (AWS, Azure)| Spark | Processing | MongoDB | Hadoop | SQL - Education: MBA in Leadership & Managing Organizational Change at Pepperdine University, BS in Management Sciences at Biola University, Professional Certificate in Data Science at Metis

Experience

1. Senior Product Manager - Commerce

   Twitch

   Aug 2025 — Present

   As a senior commerce product manager, I focus on growing our current subscription products (Channel Subscriptions and Turbo) and shaping their future to increase streamers and Twitch\'s revenue, all while creating a product that viewers love. Examples of scope and impact include- Ecosystem Monetization: Direct strategic execution for Turbo and Channel Subscriptions, accountable for a cross-platform commerce ecosystem generating over $500M in annual revenue- Funnel Optimization: Architected mobile-first conversion pathways (sign-up, app-start, ads-based upsells), driving 59% YoY mobile growth for the Turbo subscription product- Data-Driven Personalization: Deployed machine learning and causal inference models to optimize personalized, viewer-targeted promotional offers, delivering a 3% lift in ecosystem-wide subscription revenue- Cross-Organizational Leadership: Lead matrixed teams of data scientists, designers, and engineers to build sustainable acquisition, adoption, and retention funnels at a massive global scale.

Education

• Pepperdine Graziadio Business School

  Master of Business Administration (M.B.A.), Organizational Leadership

  2012 — 2014

• Biola University

  B.S, Business Management

  2008 — 2011

Skills

• Concept Development
• Teacher Training
• Microsoft Office
• Sales
• Fine Art
• Social Media
• Studio Recording
• Cinematography
• Video Editing
• Product Management
• Operations Management
• University Teaching
• Performing Arts
• Microsoft Word
• Team Leadership
• Adobe Creative Suite
• Spss
• Customer Retention
• Project Management
• Customer Service
• Employee Training
• Marketing Consulting
• Interaction Design
• Event Planning
• Higher Education
• Creative Direction
• Powerpoint
• Microsoft Excel
• Online Marketing
• Final Cut Pro
• Training
• Customer Relationship Management (Crm)
• Public Speaking
• Film Editing
• Leadership
• Management
• Team Building
• Strategy
• E-Commerce
• Analysis