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Senior Product Manager

Job in Coos Bay, Coos County, Oregon, 97458, USA
Listing for: Signifyd
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer
Salary/Wage Range or Industry Benchmark: 205000 USD Yearly USD 205000.00 YEAR
Job Description & How to Apply Below

Employer Industry: E-commerce Fraud Prevention Technology

Why consider this job opportunity
  • Salary up to $205,000 annually
  • Annual performance bonus of up to 10% of base salary
  • Unlimited discretionary time off policy
  • Opportunity for career advancement and growth within the organization
  • Comprehensive health benefits including insurance and paid parental leave
  • Flexible work environment with remote options available
Responsibilities
  • Translate experimental and model-level results into clear business impact, such as fraud loss reduction and operational efficiency
  • Partner with Data Science to transition models from offline experimentation to online testing and production
  • Act as the primary product interface between the applied AI team and other departments, ensuring alignment and predictable processes
  • Identify realistic early adopters for new decisioning approaches and define the value story for customers
  • Maintain a clear view of milestones, risks, and decisions across active initiatives to ensure progress and accountability
Qualifications
  • 6+ years of Product Management experience, particularly with AI- or ML-driven products
  • Proven experience collaborating with Data Science and Engineering on model-centric systems
  • Strong ability to translate technical performance into business and customer outcomes
  • Excellent written and verbal communication skills for diverse audiences
  • Demonstrated ownership, judgment, and a proactive approach to problem-solving
Preferred Qualifications
  • Experience with decisioning systems, risk models, or large-scale ML platforms
  • Familiarity with model evaluation, experimentation frameworks, and feedback loops
  • Background in fraud, risk, trust & safety, or operationally-constrained environments
  • Experience scaling early or experimental products into production systems
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Position Requirements
10+ Years work experience
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