About The Position

We’re looking for a Product Manager to own the financial products suite at Alvys. You will be responsible for all accounts payable and accounts receivable workflows (covering Driver Settlements, Carrier Settlements, Invoicing, and Accounting) and for ensuring they operate reliably at enterprise scale. But this role goes far beyond maintaining the status quo. You will define and execute the product strategy that pushes our users to fundamentally rethink their financial operations in the age of AI.

Requirements

  • 5+ years of product management experience.
  • Analytical Foundation: BA/BS in a technical or analytical field (Computer Science, Engineering, Finance, Economics, or similar).
  • Domain Expertise: Strong understanding of financial operations, fintech platforms, or B2B payment systems.
  • Enterprise Scaling: Experience building and scaling products specifically for enterprise-level customers.
  • Excellent storytelling skills with the ability to articulate a product vision, translate constraints for stakeholders, and navigate the challenges of working in a low-tech, low-trust industry.

Nice To Haves

  • Experience building AI-powered products
  • Familiarity with freight, logistics, and supply chain operations.
  • Experience at a high-growth startup
  • Experience building financial products, fintech platforms, or payment systems (especially in B2B or logistics contexts)

Responsibilities

  • Own the end-to-end product strategy and outcomes for Alvys’ financial suite, including Settlements, Invoicing, and Accounting.
  • Marry customer insights with technical possibilities to ensure AP/AR workflows are increasingly AI-native.
  • Work closely with Engineering, Design, Sales, and Implementation to drive high-velocity execution.
  • Rapidly build prototypes using tools like Bolt to accelerate the product development lifecycle.
  • Stay at the forefront of AI research and fintech trends to rethink how user roles evolve as AI automates routine tasks.
  • Ensure all financial products are robust and meet the demands of enterprise-scale customers.
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