Job Description

Owner is an AI growth system for local restaurants. This role will play a pivotal role in shaping the product roadmap through close collaboration with Product Managers to establish proper metrics and impact sizing. You will drive experimentation initiatives and manage the testing framework, focusing on payments risk and fraud prevention.

Responsibilities

• Ship ML models to reduce fraud/chargebacks and credit losses
• Create merchant risk scores and dynamic controls
• Build signals, alerts, and tools for Payments Ops / Risk Ops
• Define loss budgets and risk SLIs/SLOs
• Build and maintain ML models for merchant underwriting, transaction fraud, chargeback propensity, and payout risk
• Design reusable frameworks for feature generation, model training, deployment, and monitoring
• Own analytics for payments, billing, and risk features
• Monitor and improve critical KPIs
• Identify and size revenue & risk opportunities
• Partner with Product Managers on AB tests
• Collaborate with Engineering to instrument new product features
• Enhance product planning through impact sizing
• Improve data integrity and quality
• Establish a Single Source of Truth (SSOT)

Requirements

• 4–8+ years in applied ML or risk data science (fintech/payments, marketplace, or anti-fraud)
• Proficiency in Python, SQL, and ML libraries/frameworks
• Experience shipping production models that reduced losses or improved conversion
• Deep familiarity with payments/risk concepts
• Strength in feature engineering on messy, imbalanced data
• Excellent communication skills
• Strong grasp of metrics design, experimentation, and product funnel analysis
• Ability to handle ambiguity and proactively flag problems
• KPI Development experience
• Data Product Expertise
• Organizational skills
• Experience in SaaS and/or startup environments

Benefits

• No benefits