At Signifyd, we empower businesses to thrive in the digital commerce era by eliminating fraud and creating seamless post-purchase experiences. Our mission is to build trust at every step of the customer journey — from checkout to return.
As we scale our new Intelligent Returns portfolio, we are seeking passionate product leaders to shape the future of post-purchase innovation — delivering speed, intelligence, and personalization to merchants and their customers.
Role OverviewWe’re looking for a Senior Product Manager to own and scale our newly-launched decisioning products: Instant Refunds and Selective Appeasements. These products sit at the core of Signifyd’s expansion beyond fraud — applying machine learning to solve costly, complex problems in returns.
This is a deeply 0-to-1 role. You’ll work directly with our first 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 customers.
Key Responsibilities- Own the end-to-end lifecycle of Instant Refunds and Selective Appeasements, from product vision to execution and growth.
- Partner with Data Science to shape and iterate on ML models that power decisioning for returns and appeasements.
- Define decision outcomes and feedback loops — work with internal teams and merchants to generate quality labels and measurable results.
- 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 to continuously refine roadmap priorities.
- Maintain a strong pulse on the evolving e-commerce returns landscape and merchant pain points.
- Operate with urgency and autonomy, making decisions that accelerate value delivery.
- Expected 30% travel
- Experience shipping AI- or ML-based decisioning products, especially those where model outputs are core to product value.
- Ability to work cross-functionally with Data Science, Engineering, and GTM teams.
- Familiarity with labeling strategies, model evaluation, and feedback data loops.
- 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.
- Experience working on returns, post-purchase workflows, or fulfillment operations.
- Familiarity with the e-commerce or retail 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.
Signifyd's Applicant Privacy Notice
Top Skills
Similar Jobs
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus