Staff Product Manager
Job Description
About Signifyd
At Signifyd, we empower 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.
A crucial component that helps us deliver on this commitment is our ability to work with our Bank Issuing Partners to maximize Authorization rates for our merchants. As we scale our new Conversion product portfolio, we are seeking passionate product leaders to shape the future of ecommerce payments and conversion — delivering innovative and personalized solutions to merchants, Banks and consumers.
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 sit at the core of Signifyd’s conversion enhancement suite — applying the power of data and bank partnerships to solve costly, complex problems associated with false declines.
This is a deeply 0-to-1 role. You’ll work directly with our customers, iterate quickly, shape product-market fit, and collaborate tightly with data scientists, GTM teams, and engineers. The right candidate is comfortable owning ambiguity, moving fast, and staying 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 that power decisioning 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 continuously 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, especially those 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 — able to influence across technical and non-technical teams.
- Deep sense of ownership, grit, and bias for action.
Desirable Attributes
- Experience working within 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.
#LI-Remote
Benefits in our 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
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
Signifyd provides a base salary, bonus, equity and benefits to all its employees. Our posted job may span more than one career level, and offered level and salary will be determined by the applicant’s specific experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Company Information
Location: San Jose, CA
Type: Hybrid