C

Cardless

End-to-end platform for co-branded digital cards

Lead Product Manager - Risk & Fraud

Technical Product ManagementUpdated on Nov 5
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience building or owning fraud, risk, or decisioning products at a bank, issuer, processor, fintech, or fraud and identity company, with an understanding of how quickly the space evolves.
  • A strong perspective on how artificial intelligence and machine learning can improve risk decisioning, and the ability to translate that vision into better decisions and customer outcomes.
  • Strong analytical ability and comfort working directly with data to investigate patterns, test hypotheses, and find answers independently.
  • Technical strength and comfort working deeply with engineers and data scientists on signals, models, rules engines, decision flows, and edge cases.
  • Systems thinking and the ability to turn complexity into clear product direction that connects risk decisions to customer experience, compliance, operations, and partner economics.
  • Ability to clearly explain complex risk problems, priorities, and rationale.

Responsibilities

  • Set the long-term vision and roadmap for risk and fraud systems across application fraud, account takeover, transaction fraud, ongoing account risk, and disputes.
  • Combine partner, behavioral, financial, and network signals to use Cardless's data as an intelligence advantage and make decisioning more predictive and personalized.
  • Own how risk and fraud decisions are made, from signals and models through rules, thresholds, and resulting actions, balancing loss prevention with friction for good customers.
  • Improve decisioning with artificial intelligence and machine learning to enhance detection, adapt to emerging fraud patterns, and automate more decisions.
  • Make decisions explainable and auditable so teams can understand why a decision was made, trace its underlying signals, and investigate as needed.
  • Make build-versus-buy decisions across the risk stack, own differentiating capabilities, and use external vendors where appropriate.
  • Design risk capabilities that work across partners, customers, products, and risk appetites without creating one-off systems.
  • Define how risk performance is measured and communicated, connect decisions to approvals, losses, customer friction, and program economics, and provide partners clear visibility into performance.

About the Company

Cardless

End-to-end platform for co-branded digital cards

Cardless provides an end-to-end platform for brands to create and manage co-branded digital credit card programs. It helps brands launch customized cards quickly by offering a pre-built, optimized application form and dedicated developer support, enabling a seamless setup in just a few weeks instead of months. The product workflow includes applying for a card through the form, issuing digital cards tied to the brand, and running targeted marketing to attract customers, drive redemption, and build loyalty. Revenue comes from setup fees, transaction fees, and potential revenue sharing from cards issued on the platform. Cardless differentiates itself by delivering a fast, brand-focused, turnkey solution with strong developer assistance, allowing brands to launch tailor-made credit programs within their existing ecosystems. The company aims to help brands deepen customer relationships, boost acquisition, and unlock new revenue streams through co-branded digital cards.

Company size
51-200
Company stage
Series C
Total funding
$215M
Headquarters
San Francisco, CA
Founded
2019

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