Product Manager

Bengaluru, Karnataka · Bangalore · 3+ years experience · Hybrid · Posted Oct 12, 2026

At a glance

Toast is seeking a Product Manager for Fraud & Risk to build products that stop fraud at scale and shape the risk platform behind a major restaurant payments business.
The role involves balancing loss prevention against growth, utilizing machine learning and AI to protect restaurants and help Toast grow.

Drive and prioritize the roadmap for your area of Fraud & Risk, balancing fraud loss reduction, merchant experience, and business growth.
Set the strategy for detecting and preventing fraud across the merchant lifecycle: onboarding, payments, payouts, and disputes.
Partner with data science and engineering to improve risk models, rules, and decisioning, defining the right trade-offs between catching fraud and avoiding false positives.
Build AI-driven automation that scales risk and chargeback operations, such as agent-assisted reviews and automated dispute responses.
Understand the needs of restaurants, their guests, and internal Risk Operations analysts through customer conversations, investigations, data analysis, ops feedback, and industry intelligence.
Define and own success metrics such as fraud loss rates, chargeback rates and win rates, auto-approval rates, and operational efficiency.
Work with Compliance, Legal, Payments, and external partners such as processors, card networks, and risk vendors to deliver compliant and scalable solutions.
Write clear product requirements and work closely with designers and engineers to bring them to life.
Be a great teammate, always.

3+ years of product management experience, ideally in fraud, risk, payments, fintech, or trust & safety
A working knowledge of the payments ecosystem: card networks, processors and acquirers, chargebacks and disputes, and KYC/KYB
Strong analytical skills, with comfort digging into data yourself and understanding how ML models and rules engines make decisions
Sound judgment in weighing risk against customer friction, and the ability to make good calls with incomplete information, including during live fraud incidents
Proven ownership of a product that supports company strategy and meets defined business objectives
A track record of working well with cross-functional partners, especially operations, compliance, and legal teams
The ability to thrive and self-prioritize across multiple projects in a fast-paced environment with tight deadlines
Active use of AI tools and best practices in your own work to drive efficiency
Exceptional attention to detail

Embraces a hybrid work model that fosters in-person collaboration while valuing individual needs.