What You'll Do
Own and evolve the foundational platform components that power fraud detection capabilities, ensuring systems are built for scalability, reuse, and performance. Drive the product lifecycle of machine learning models and technical services such as name matching and address validation, focusing on reliability and low-latency delivery.
Apply structured product methodologies to prioritize initiatives, balancing technical debt, customer needs, and business goals. Define clear requirements, success metrics, and acceptance criteria to guide engineering execution and measure impact. Work closely with Data Science and Engineering to integrate advanced graph and signal-based features into existing products, improving detection accuracy and reducing false positives.
Collaborate with Customer Success and Sales Engineering to understand real-world usage and refine product design for usability. Translate complex technical outputs into clear value propositions for both internal teams and external clients. Support go-to-market efforts by contributing to documentation, release materials, and team enablement.
Requirements
- Minimum of 5 years in Product Management, with a focus on platform, infrastructure, or core services in a high-scale B2B or machine learning environment
- Proven track record delivering technical products from concept to launch, with iteration based on measurable outcomes
- Strong understanding of predictive analytics and data-driven product development
- Experience creating and managing product roadmaps aligned with market and business objectives
- Excellent communication skills, with the ability to engage technical and non-technical audiences, including leadership
- Skilled at aligning cross-functional teams and driving consensus in fast-moving environments
- Willingness to travel 10–15% of the time
Benefits
This role operates in a hybrid model, with a preference for candidates based on the East Coast. You’ll join a culture that values speed, critical thinking, ownership, and precision in solving customer problems. The team champions diversity and maintains a high standard for performance and inclusion.
