Senior Product Manager – APIs, Integrations
WEX
Principal Product Manager, AI & Data Platform
Stord
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Lead
About the role
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AIMLmachine learningdata pipelinesAI system architectureMLOpsmodel deploymentdata productsanalyticspredictive analytics
Soft skills
analytical skillscommunicationcollaborationleadershipstrategic thinkingproblem-solvinggrowth mindsetability to balance innovation and business outcomes
