AI-Driven Product Owner - SaaS Data Platform

iTradeNetwork, Inc.

Charlotte (NC)

Ibrido

USD 90.000 - 109.000

Tempo pieno

4 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Competitive salary
Medical, dental, vision, and life保险
Flexible PTO
Parental leave
401(k) matching
Tuition reimbursement
Teladoc health services

Descrizione del lavoro

iTradeNetwork, Inc. seeks a Product Owner to define and manage key products across our software suite for the food and beverage supply chain.

You will collaborate with engineering, design, sales, and cross-functional partners to translate customer requirements into impactful AI-enabled solutions and drive execution across the full product lifecycle. You will own AI initiatives, work with data teams on model performance, and shape the roadmap, focusing on data quality and measurable outcomes for

Competenze

  • Proficiency in SQL and large-scale data analysis.
  • Experience translating data into business value.
  • Strong written and verbal communication.
  • Background in AI/ML or data platforms preferred.

Mansioni

  • Own AI-driven product lifecycle and shipping of major enhancements.
  • Identify pragmatic AI opportunities for real-world impact.
  • Bridge engineering and business stakeholders for aligned AI initiatives.
  • Analyze data to validate hypotheses and monitor model performance.
  • Contribute to AI/ML platform roadmap and integration.

Conoscenze

SQL
Data analysis
Excel
Communication

Formazione

CS/DS/AI degree
Business/Data Analyst background

Strumenti

Cursor
Claude

Descrizione del lavoro

iTradeNetwork, Inc. seeks a Product Owner to define and manage key products across our software suite for the food and beverage supply chain.

You will collaborate with engineering, design, sales, and cross-functional partners to translate customer requirements into impactful AI-enabled solutions and drive execution across the full product lifecycle. You will own AI initiatives, work with data teams on model performance, and shape the roadmap, focusing on data quality and measurable outcomes for

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