Product Manager
Machinify- Full Time
- Junior (1 to 2 years), Senior (5 to 8 years)
Candidates should possess experience shipping AI- or ML-based decisioning products in the payments space, particularly those where model outputs are central to product value, and experience working with or within financial institutions, such as large Issuing banks. Strong communication skills, including written and verbal abilities to influence across technical and non-technical teams, are required, alongside a deep sense of ownership, grit, and a bias for action.
The Staff Product Manager will own and scale the Issuer Data Sharing and Selective Step-ups product suite, collaborating with Engineering and Data Science to shape and iterate on ML models that power decisioning for step-up solutions, working closely with early design partners to refine user experience, and collaborating with Customer Success, Sales, and Product Marketing to support deployments and drive adoption. They will gather feedback from merchants and partners to continuously refine roadmap priorities, maintain a strong pulse on the e-commerce payments landscape, and operate with urgency and autonomy to accelerate value delivery.
Fraud protection for online retailers
Signifyd specializes in fraud protection for online retailers, helping them detect and prevent fraudulent activities. The company provides a platform that uses machine learning and artificial intelligence to analyze transactions in real-time, identifying potential fraud. This service allows retailers to reduce chargebacks and approve more legitimate orders, ultimately increasing their revenue. Signifyd differentiates itself by offering a financial guarantee on approved transactions, meaning they will cover costs if a transaction they approve is later found to be fraudulent. This added security builds trust with clients. Operating globally, Signifyd ensures transparency with real-time data on system performance, allowing retailers to focus on their core business without the constant worry of fraud.