W
Wasserman
Posted 68 days agoVerified live 2d ago

Creative Product Technologist, Data & AI

Brief overview

Remote
$80k–$120k/yrStated range
4+ yrsMinimum
Digital product developmentWeb app developmentJavaScriptTypeScriptAPI integrationAI-assisted developmentOpenAIAnthropicProduct designUI/UX designFigmaData visualizationSQLSnowflakeTableauAdobe Creative SuiteData privacy

Job description

Summary

Wasserman is a company operating at the intersection of sports, music, and entertainment, and they are seeking a Creative Product Technologist, Data & AI. The role involves designing and developing data-visualization and AI-enabled tools for clients, requiring strong UI/design and data-visualization skills.

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

Skills

  • 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
  • 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 workflows
  • Advanced Adobe Creative Suite and/or comparable design-production capability
  • Data-privacy sensitivity by instinct and in practice, including responsible handling of first-party, client, campaign, and PII-adjacent data
  • Strong written communication and documentation habits so prototypes can become repeatable workflows or scalable products
  • 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

Qualifications

Must Haves

  • 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
  • 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 workflows
  • Advanced Adobe Creative Suite and/or comparable design-production capability
  • Data-privacy sensitivity by instinct and in practice, including responsible handling of first-party, client, campaign, and PII-adjacent data
  • Strong written communication and documentation habits so prototypes can become repeatable workflows or scalable products

Nice to Haves

  • 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

  • Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Enjoy generous paid time off and holiday allowances
  • We provide paid parental leave to support your family during important life events.
  • 401k plan including contribution matching.
  • Medical, dental, vision, FSA/HSA, life and disability coverage options.
  • Critical illness, identity protection, pet insurance, 529 plans and more
  • Access support for travel and commuting needs, where available

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