AI-Driven Product Engineer & Data Viz Leader

LE001 The.Team: SME, LLC

New York (NY)

On-site

USD 80,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Healthcare
401k plan
Parental leave
Time off
Commuter benefits

Job summary

THE TEAM in New York seeks an experienced product designer/developer to build fan-facing and internal tools, dashboards, and data-visualization products.

You'll translate briefs into technical specs, prototype rapidly with AI, and collaborate with analytics, social, and data/engineering colleagues to deliver scalable, privacy-conscious solutions while staying ahead of AI and digital-product trends.

Qualifications

  • 4–6+ years shipping web apps, dashboards, or internal platforms with live portfolio.
  • AI-native approach with fluency in OpenAI/Anthropic tools.
  • Ability to take a product from idea to deployed tool largely independently.
  • Comfort with a modern JavaScript/TypeScript framework, APIs, and hosting.
  • Experience with data privacy in handling first-party data.

Responsibilities

  • Design, prototype, and ship dashboards, data-visualization, and web-app products.
  • Translate briefs into specs, data models, and interfaces.
  • Use AI-assisted workflows for rapid prototyping and QA.
  • Build dashboards and reports across performance, social, CRM data.
  • Create UI/UX, wireframes, and high-fidelity interfaces.
  • Collaborate with analytics, social analytics, and data/engineering teams.
  • Document tools and patterns for scalable outputs.
  • Stay current on AI and digital-product trends.

Skills

JavaScript/TypeScript
Data visualization
SQL
Python
Dashboard design
UX/UI design
Written communication

Tools

Snowflake
Tableau
Power BI
Looker Studio
D3
Plotly

Job description

THE TEAM in New York seeks an experienced product designer/developer to build fan-facing and internal tools, dashboards, and data-visualization products.

You'll translate briefs into technical specs, prototype rapidly with AI, and collaborate with analytics, social, and data/engineering colleagues to deliver scalable, privacy-conscious solutions while staying ahead of AI and digital-product trends.

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