Principal Product Manager - Fraud, Risk & ML Platform

Tech Stack

Responsibilities

• Own the multi-year vision for the Fraud, Risk & ML Platform, focusing on self-serve onboarding, reliability at scale, and superior developer experience.
• Direct the MLOps lifecycle to reduce model time-to-market, enabling teams to build, deploy, and monitor ML models at enterprise scale.
• Partner with internal product teams to identify friction in platform adoption and build features that eliminate integration pain points.
• Drive onboarding for Fraud, AML, and Policy Engine use cases by aligning with stakeholders and guiding execution teams.
• Define and track success metrics, including time-to-onboard, model deployment velocity, decision quality, and platform reliability.

Soft Skills

Benefits

• Remote Work

Culture

Requirements