Senior Product Manager - Fraud and ID Agent

As Senior Product Manager, you will lead product strategy and delivery across the Fraud and ID Agent Initiative, from the current MVP through the roadmap toward a scalable, production-ready capability. You will connect client and analyst needs with fraud expertise, data science, engineering, platform, legal, compliance, and AI governance partners. You will own the product outcomes, priorities, and decisions that keep the program useful, safe, and deliverable.
What you will do
Set product direction. Define the product vision, and measurable outcomes for fraud and identity capabilities, balancing the near-term pilot with a reusable longer-term product.
Lead discovery with users and partners. Work with the Brazil pilot partner and fraud specialists to understand analyst workflows, emerging fraud patterns, data needs, and what makes a recommendation actionable and.
Coordinate global delivery. Align the Brazil business and data team with India-based engineering, architecture and platform teams, and partner stakeholders. Establish clear ownership, resolve blockers, and maintain a operating cadence across teams.
Guide responsible use of data and AI. Partner on data access, privacy, security, AI governance, model quality, explainability, auditability, and controls. The current design uses rules and statistical methods to detect patterns, then uses an LLM to explain findings and draft recommendations.
Measure product performance. Define how the team will evaluate detection quality, time to analyst review, fraud outcomes, recommendation usefulness, analyst adoption, and operational impact. Establish validation plans before expanding beyond the pilot.
Build the next-phase roadmap. Use evidence from the pilot to prioritize production readiness, broader data coverage, a purpose-built analyst experience, and future client or regional expansion.
You will report to the Senior Director of Product Management
You will have to WFO 2 days a week as its Hybrid working
You are required to have 8+ years of product management experience, including ownership of complex, data-intensive products from discovery through launch and iteration.
Experience in fraud, identity, payments, financial services, risk decisioning, or a closely related domain.
Work closely with engineering and data science on data pipelines, model or rules-based systems, integrations, experimentation, and production constraints.
Strong product judgment: you can turn an ambiguous problem into a focused roadmap, make trade-offs explicit, and connect delivery to customer and business outcomes.
Experience leading cross-functional teams and influencing senior stakeholders across regions, functions, and organizational boundaries.
Preferred experience
Building or scaling AI/ML-enabled products, especially human-reviewed decision support or agentic workflows.
Working with sensitive customer data, privacy or compliance reviews, model governance, and audit requirements.
Launching products with international teams, pilot partners, or multi-client platforms.

Skills
LLM, Product Management

Employment type
Full-time

Work arrangement
No