Stord

Cloud Supply Chain | Fulfillment, Transportation & Technology

Principal Product Manager, AI & Data Platform

Product ManagerProduct ManagerFull TimeRemoteTeam 501-1,000Since 2019H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

142 days ago

Salary

Not specified

Bachelor Degree6 yrs expEnglish

Job Description

• Define and execute the roadmap for our AI/ML infrastructure and development framework • Drive adoption of AI capabilities across multiple product teams and business units • Partner with engineering teams to build scalable ML pipelines, feature stores, and model deployment systems • Lead the development of AI-powered features including demand planning, intelligent routing, and predictive analytics • Own the product strategy for embedded customer analytics and business intelligence platforms • Transform complex logistics data into actionable insights for both internal stakeholders and external customers • Drive the evolution of our enterprise data warehouse and real-time analytics capabilities • Build self-service analytics tools that enable data-driven decision making across the organization • Collaborate with engineering, data science, and operations teams to deliver high-impact AI and data solutions • Translate business requirements into technical specifications for complex data and ML systems • Communicate the value and impact of AI/data initiatives to executive leadership and stakeholders • Support other product teams as they integrate AI capabilities into their features

Job Requirements

  • 6+ years of product management experience
  • 3+ years focused on AI/ML or data products
  • Proven track record building and scaling technical products in fast-growing companies
  • Experience working with data science and engineering teams on machine learning initiatives
  • Strong analytical skills with ability to define metrics and measure product success
  • Solid understanding of machine learning concepts, data pipelines, and AI system architecture
  • Experience with modern data stack technologies
  • Familiarity with MLOps practices, model deployment, and production ML systems
  • Experience building both internal tooling and customer-facing data products
  • Understanding of B2B SaaS metrics and customer success factors
  • Ability to balance technical innovation with practical business outcomes
  • Experience leading cross-functional initiatives involving multiple engineering teams
  • Growth mindset with passion for AI/ML technology and its business applications.

Benefits

  • Flexible work arrangements

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