Creative Product Technologist, Data & AI

About the role

We’re 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. You’ll take ambiguous briefs and turn them into working, useful products, supported by strong UI/design and data-visualization skills. You’ll 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 visualizations.

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

Responsibilities

• 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.

Requirements

• 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.

Skills

• Product design and UI/UX: 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 workflows.
• Design-production capability: Advanced Adobe Creative Suite and/or comparable tools.
• Data privacy: Sensitivity by instinct and in practice, including responsible handling of first-party, client, campaign, and PII-adjacent data.
• Written communication: Strong documentation habits so prototypes can become repeatable workflows or scalable products.

Nice to have

• Sports, entertainment, media, agency, consulting, or performance-marketing background.
• Experience with Python, R, advanced SQL, D3, Plotly, Observable, Tableau, Power BI, Looker Studio, Snowflake, Qualtrics, Google Analytics, Meta/Google ad platforms, owned-audience growth, CRM, first-party data capture, surveys, quizzes, or gamification mechanics.

Benefits

• Professional Development: Learning and development programs, mentorship opportunities, and career advancement support.
• Generous Time Off: Paid time off and holiday allowances.
• Parental Leave: Paid parental leave to support your family during important life events.
• Retirement Plan: 401k plan including contribution matching.
• Healthcare: Medical, dental, vision, FSA/HSA, life and disability coverage options.
• Ancillary Benefits: Critical illness, identity protection, pet insurance, 529 plans, and more.
• Commuter Benefits: Support for travel and commuting needs, where available.

Pay

Base salary range: $80,000 – $120,000, plus bonus potential if applicable for the role. Actual base salary depends on factors including market dynamics, location, experience, specialized skills, level of responsibility, and budgetary considerations.