Signifyd

Staff Product Manager

United States

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

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not specified (Signifyd provides a base salary, bonus, equity and benefits)

Signifyd empowers businesses to thrive in the digital commerce era by eliminating fraud and powering seamless purchase experiences. Our mission is to build trust at every step of the customer journey — from account login through checkout and returns. We are seeking passionate product leaders to shape the future of ecommerce payments and conversion.

Role Overview

We’re looking for a Staff Product Manager to own and scale our Auth Rate Optimization suite of products: Issuer Data Sharing and Selective Step-ups. These products are central to Signifyd’s conversion enhancement suite, using data and bank partnerships to address false declines. This is a 0-to-1 role where you will work directly with customers, iterate quickly, shape product-market fit, and collaborate with data scientists, GTM teams, and engineers. The ideal candidate is comfortable with ambiguity, moves fast, and stays close to partners and customers.

Key Responsibilities

  • Own the end-to-end lifecycle of Issuer Data Sharing and Selective Step-ups, from product vision to execution and growth.
  • Partner with Engineering and Data Science to shape and iterate on ML models for step-up solutions.
  • Work closely with early design partners to refine user experience and ensure product impact.
  • Collaborate with Customer Success, Sales, and Product Marketing to support deployments, craft narratives, and drive adoption.
  • Gather qualitative and quantitative feedback from merchants and partners to refine roadmap priorities.
  • Maintain a strong pulse on the evolving e-commerce payments landscape and merchant pain points.
  • Operate with urgency and autonomy, making decisions that accelerate value delivery.
  • Expected 15% travel.

Required Skills and Qualifications

  • Experience shipping AI- or ML-based decisioning products in the payments space, where model outputs are core to product value.
  • Experience working with or within financial institutions, such as large Issuing banks.
  • Ability to work cross-functionally with Data Science, Engineering, and GTM teams.
  • Comfort navigating ambiguity, making fast iterations, and working closely with customers.
  • Strong written and verbal communication skills, with the ability to influence across technical and non-technical teams.
  • Deep sense of ownership, grit, and bias for action.

Desirable Attributes

  • Experience in the payments and/or fraud related space, with exposure to large Issuing banks.
  • Familiarity with the e-commerce ecosystem (especially mid- to enterprise-scale merchants).
  • Experience launching products with early design partners or in pilot/PPOV environments.

About Signifyd

Signifyd builds trust at every step of the customer journey by eliminating fraud and powering seamless purchase experiences for businesses in the digital commerce era.

Benefits (US Offices)

  • Discretionary Time Off Policy (Unlimited!)
  • 401K Match
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Paid Parental Leave (12 weeks)
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly
  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Flexible Spending Account (FSA)
  • Short Term and Long Term Disability Insurance
  • Life Insurance
  • Company Social Events
  • Signifyd Swag

Application Instructions

  • #LI-Remote (Indicates remote work option)

Company Information

Signifyd is committed to providing an inclusive interview experience for all, including people with disabilities. Reasonable accommodations can be provided to candidates in need of individualized support during the hiring process. Signifyd offers a base salary, bonus, equity, and benefits to all employees. The offered level and salary will be determined by the applicant’s specific experience.

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.

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.

Land your dream remote job 3x faster with AI