Flex

Flex

Product Owner, Card Programs

Remote / USA

Sponsorship not specifiedDetected 47 days ago
REST

About the role

  • is a roughly $1T+ revenue market hiding in plain sight.
  • Flex has raised $100M+ in equity and $300M+ in debt.

Responsibilities

  • Lead processor strategy and the direct network relationship.
  • Drive the technical and commercial negotiations.
  • Build the operational infrastructure that supports five concurrent card programs across credit, stablecoin, and rewards.
  • Build the operating model that makes that scale possible without breaking customer experience.
  • Building the business unit is.
  • Flex is building the AI-native private bank for super premium, closely held business owners.
  • We are building toward $100B+ in enterprise value by delivering a product that is fundamentally better, not incrementally improved.

Requirements

  • Typically 8 to 12 years of experience.
  • You know what each of these is, who the vendors are, and where the operational risk lives.
  • You can hold a real conversation about a processor migration or a network compliance issue.
  • You can read vendor decks and decide what is real and what is sales theater.

Nice to have

  • Open to candidates in Canada, Mexico, the United States, Brazil, and Colombia.
  • Your job is to scale this from one major program to five-plus and take total volume across the portfolio up by more than an order of magnitude.
  • This is not a card fulfillment seat.

Company info

  • Fixing that is part of your job.
  • We are re-architecting the entire financial system for entrepreneurs.
  • Our customers are affluent business owners with $3M to $200M in revenue.
  • We are replacing the outdated banks and fragmented tools they are stuck with.

Visa & Work Authorization

  • ledger, processing, servicing, fulfillment, BIN sponsor relationships, network relationships, and the operational discipline that lets us run multiple programs concurrently without seams.

This listing is sourced directly from Flex's careers page and normalized into a canonical job model.