JobsUSAPrincipal Product Manager - Data, AI & Internal Platforms
Company : WEX
Location : Portland, ME
Posted Date : 15 September 2025
Job Type : Other
Category : Software Development
Occupation : Product Manager
Job Details
This is a remote position, however, the candidate must reside within 30 miles of one of the following locations: Portland ME, Chicago IL, Boston MA, Washington DC, Dallas TX, San Jose CA, Seattle WA, or New York City NY.
About the RoleWEX is driving a transformation in how we serve customers and empower our teams through data, AI, and automation. As part of that journey, we're looking for a Principal Product Manager - a highly-skilled product leader who serves as a strategic "ace in the pocket" - ready to be deployed to the most critical problem areas to accelerate progress, uplevel product execution, and guide teams toward delivering meaningful outcomes.
In this role, you won't own just one product - you'll be entrusted with the toughest, most ambiguous spaces across our Data, AI, and Internal Platform ecosystem. You'll bring structure where there's complexity, product excellence where there are gaps, and clarity where there's noise. You will lead initiatives by embedding into those product spaces, your expertise will drive progress where it's needed most. You'll also act as a coach and thought partner - helping raise the product bar across teams and ensuring we build with discipline, speed, and a product-led mindset.
This role is highly visible, influencing internal platforms that support thousands of employees and impact millions of customers, all while laying the foundation for AI-powered, human-free operations. One key area of expertise needed in this role is in the area of fraud and AML
What You'll Do-
Serve as a strategic, flexible product leader - deployed to high-impact, high-ambiguity spaces across WEX's Data & AI product portfolio.
Diagnose product gaps, define success, and drive execution - bringing clarity, structure, and measurable progress.
Partner with senior leaders (SVP+) across Product, Tech, Operations, and GTM to align on priorities, build shared understanding, and translate business needs into scalable solutions.
Provide product mentorship and guidance to other PMs - upleveling team capabilities, enforcing product rigor, and fostering a culture of ownership and accountability.
Lead with a product mindset: set clear objectives, iterate quickly, balance near-term execution with long-term platform thinking.
Drive delivery of AI-powered platforms and services that improve self-service, knowledge intelligence, and benefits insights.
Ensure solutions are scalable, reusable, and positioned for both internal and external value creation.
Embed data quality, telemetry, and governance from the start - making measurement and continuous improvement core to the product lifecycle.
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15+ years of relevant work experience
Bachelor's degree in Engineering, Computer Science, Data Analytics, or a related technical field.
Master's degree preferred in Data Science, Analytics, Artificial Intelligence, or a closely related discipline.
Proven success operating in ambiguous, high-stakes environments - known for bringing structure, product discipline, and measurable outcomes.
Strong strategic thinking - able to quickly assess business problems, define approach, and mobilize cross-functional teams.
A trusted "utility player" mindset - thrives in roles that flex between ownership, execution, coaching, and thought leadership.
Demonstrated ability to influence at all levels - from individual contributors to executive leadership.
Deep understanding of the data and AI lifecycle - from ingestion to signal generation to embedded insights.
Deep understanding of the Fraud, Credit and AML space.
Expertise in implementing platforms like DataVisor.
Passion for building internal products that unlock operational efficiency and empower employees.
Bias for action with a pragmatic approach to scaling and iteration.
Excellent communication, stakeholder management, and collaboration skills.
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Experience with internal productivity tools, employee experience platforms, or benefits technology, fraud and AML.
Strong technical acumen and comfort engaging deeply with Engineering and Data Science teams.
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