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Principal Product Manager - Fraud, Risk & ML Platform at Sofi
SofiWA - Seattle; CA - San Francisco·11h ago
LeadFull-timeAWSMachine LearningData ScienceAIML
Salary Range
$165,750 - $224,250 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Principal Product Manager to lead the strategy and roadmap for our Fraud, Risk & ML Platform at SoFi. This role involves transforming complex backend processes into a seamless, self-serve platform that powers real-time decisioning for every SoFi product.
Key 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 from months to weeks.
- →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.
- →Drive Developer Experience (DX) as a core product feature; define clean APIs, versioning, SLAs, and documentation.
- →Establish a federated extension model for custom events, features, challenges, & actions.
- →Define and track success metrics, including time-to-onboard, model deployment velocity, decision quality, and platform reliability.
- →Flex into adjacent fraud initiatives, helping cover the gray space between domain detection/prevention improvements and platform onboarding/utilization.
- →Educate partner teams on platform capabilities to ensure SoFi is fully leveraging centralized infrastructure.
Requirements
- ✓7+ years of Product Management experience with a focus on platform, infrastructure, or developer-facing products
- ✓Technical fluency with APIs, event-driven systems, high-throughput data pipelines, ML lifecycle, and risk decisioning engines/workflows
- ✓Proven experience operationalizing models in production using tools like Snowflake, Flink/streaming, Kafka, or AWS/SageMaker
- ✓Platform mindset with a strong bias for normalization and generic, self-serve capabilities
- ✓Exceptional Communication & Evangelism skills to translate complex risk policy, business goals, and technical constraints into precise platform requirements
- ✓Adaptive leadership with a team-first approach
- ✓Direct experience with fraud and risk detection and prevention challenges and techniques.
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