Leads product strategy for fraud detection, identity verification, and appeasements in Instacart's marketplace. Drives AI/ML innovations to balance fraud prevention, customer experience, and cost efficiency; requires 6+ years PM experience with 3+ in fraud/trust domains.
184k – 233k/yr
Remote6+ YOEProduct Management
About the role
Responsibilities
Own the fraud, identity, and appeasements product vision, strategy, and multi-year roadmap. Set quantified targets for fraud losses, cost per order, false positive rates, and customer experience.
Drive evolution of real-time fraud detection and identity platform, including ML model strategy, decisioning, identity verification (selfie, passkeys, ATO prevention), and account integrity.
Champion AI-native, AI-first approach to fraud and trust, applying AI/ML innovations.
Lead appeasements and order-issue resolution strategy, defining policies and capabilities balancing fair treatment with abuse prevention.
Partner with Data Science, ML Engineering, Fraud Operations, Order Quality, CX, Legal, and Finance.
Collaborate across Platform, Payments, Order Management, Shopper, Legal, and CX teams.
Minimum Qualifications
6+ years of product management experience, including 3+ years focused on fraud, trust & safety, risk, identity, or related domain.
Ability to set product vision and strategy independently with measurable goals.
Proven track record driving outcomes in fraud prevention or risk management (e.g., reducing fraud losses, improving approval rates).
Strong experience with ML/data science teams on fraud models, risk scoring; comfort with SQL, analytics, A/B testing.
Success working cross-functionally with strong communication skills.
Bachelor's degree in business, engineering, computer science, or related field (or equivalent).
Preferred Qualifications
Experience applying AI/ML innovations to fraud, identity, or trust & safety (e.g., GenAI/LLM, AI-native systems).
Experience building for multi-sided marketplaces and enterprise platforms.
Experience leading in operational environments (e.g., Fraud Ops).
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