Signifyd

Staff Product Manager

United States

Signifyd Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Technology, E-commerce, PaymentsIndustries

Requirements

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.

Responsibilities

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.

Skills

Product Management
Data Science
Machine Learning
Customer Collaboration
Product Lifecycle
User Experience Design
Data-Driven Decision Making
Cross-Functional Collaboration

Signifyd

Fraud protection for online retailers

About Signifyd

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.

Key Metrics

Palo Alto, CaliforniaHeadquarters
2011Year Founded
$399.8MTotal Funding
SERIES_ECompany Stage
Cybersecurity, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Flexible Spending Account/Flexible Spending Account
Unlimited Paid Time Off
401(k) Company Match
Stock Options
Annual Performance Bonus
Paid Parental Leave
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Company Social Events

Risks

Rise of 'friendly fraud' challenges Signifyd's financial guarantee model.
'Buy now, pay later' services introduce new fraud types that may evade current detection.
Flexible return policies in Europe could increase return fraud, straining existing strategies.

Differentiation

Signifyd offers a financial guarantee on approved transactions, covering potential fraud costs.
The company uses advanced AI and machine learning for real-time fraud detection.
Signifyd's global reach allows it to serve a diverse range of e-commerce clients.

Upsides

Partnership with Adobe Commerce enhances transaction intelligence and fraud protection capabilities.
$100 million Series D funding supports European market expansion and operational scaling.
Integration with Celerant shifts liability, attracting retailers seeking comprehensive fraud solutions.

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