# Senior Product Manager, Fraud & Trust

**Company:** [Instacart](https://hotfix.jobs/companies/instacart)
**Location:** Remote
**Role:** Product Management
**Salary:** $184k – $233k/yr
**Experience:** 6+ years
**Skills:** Machine Learning, AI, SQL, A/B Testing, Fraud Detection, Identity Verification, Risk Scoring, Data Science, Analytics, Generative AI, LLMs
**Posted:** 2026-04-08

> 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.

## Job Description

## 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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