Creative Product Technologist, Data & AI

THE·TEAM operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Our brands and properties division works with iconic brands and rights holders, supporting business growth through all marketing disciplines. We're a trusted partner to every major league, team and venue, building meaningful connections between brands, properties and fans.

Headquartered in Los Angeles, THE·TEAM's presence spans 28 countries and more than 70 cities, including New York, London, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney. For more information, please visit THE.TEAM.

Job Overview

THE·TEAM is looking for a Creative Product Technologist, Data & AI to help our Performance & Insights team design, prototype, and ship data-visualization, measurement, data-capture, web-app, and AI-enabled tools for clients across sports and entertainment.

At its core, this is a hands-on product-development and rapid-prototyping role. The candidate’s deepest capability is taking an ambiguous brief and turning it into a working, useful product, supported by strong UI/design and data-visualization skills. The candidate will use AI-assisted development to structure data, connect APIs, build web-app experiences, and ship working tools, while producing design-grade interfaces and clear data visualization along the way.

This is not intended to be a traditional client-service role, but the person will work closely with Performance & Insights, paid media, digital account teams, and other internal stakeholders. They will act as the technical and creative engine behind owned-audience, insight-access, and performance-marketing products in the U.S. market.

What You'll Do

• Design, prototype, and ship fan-facing and internal tools, including data-visualization, data-capture, measurement, dashboard, and web-app products.
• Translate digital account team briefs, client goals, and internal Performance & Insights needs into technical specs, user flows, data models, interfaces, and working prototypes.
• Use AI-assisted workflows across OpenAI, Anthropic, and emerging tools for rapid prototyping, vibe-coding, design automation, QA, documentation, and iteration.
• Build dashboards, interactive reports, and visual frameworks that make performance, social, survey, CRM, first-party, and platform data easier to understand and act on.
• Create design-grade UI/UX, wireframes, high-fidelity interfaces, landing page sketches, sample ads, audience journeys, and performance marketing mock-ups.
• Partner with Performance & Insights consultants, social analytics experts, paid media leads, digital account managers, and data/engineering partners to move ideas from ambiguity to useful output.
• Build with data-privacy sensitivity by default, especially when handling first-party, client, campaign, survey, or PII-adjacent data.
• Document tools, workflows, assumptions, limitations, and reusable patterns so outputs can scale across the client portfolio.
• Stay current on AI, creative technology, performance marketing, and digital-product trends, proactively bringing useful new methods into the team toolkit.

What We're Looking For

• 4–6+ years building and shipping digital products — web apps, interactive tools, dashboards, prototypes, or internal platforms — with a portfolio of live or pilot-ready work that shows clear evidence of your role.
• AI-native way of working. Practical, fluent use of OpenAI, Claude/Anthropic, and emerging tools to compress build cycles from weeks to days — coding, design automation, research, analysis, QA, documentation, and rapid prototyping.
• Ability to take a product from idea to working, deployed tool largely on your own. Comfortable with a modern JavaScript/TypeScript framework, connecting data and APIs, and getting something hosted and usable. You do not need to be a specialist full-stack engineer — AI-assisted development is expected to cover the depth a traditional engineer would bring.
• Comfort working in ambiguity, defining the path forward, and proactively suggesting better ways to solve a problem.

Strong supporting skills

• Product design and UI/UX, including advanced Figma skills and comfort moving from wireframes to high-fidelity, on-brand interfaces.
• Data fluency and data visualization — working with structured datasets, APIs, BI/dashboard tools, and SQL literacy; ability to understand data models, join datasets, QA outputs, and partner with data/engineering teams on Snowflake, Tableau, or similar w