Creative Product Technologist, Data & AI
Listed on 2026-07-27
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Software Development
Front End Developer, AI Engineer (Applied/Software), Web Developer
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.
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/Type Script 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.
- Product design and UI/UX, including advanced Figma skills and…
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