Product Manager – Specialist II, Decision Engines and Fraud Prevention

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Oversee the discovery process, roadmap creation, and implementation for a new fraud prevention platform.

• Articulate the platform's vision, tactical and strategic roadmap, and key delivery milestones.

• Manage the gradual migration from legacy systems to a microservices and event-driven architecture.

• Build strong relationships and foster trust with teams in Business, Fraud Prevention Operations, Credit, Commercial Channels, and Compliance.

• Convert architectural complexities into clear business value.

• Create narratives surrounding the new architecture, managing expectations and reporting risks and dependencies in executive forums.

• Establish and monitor product and operational efficiency metrics, such as loss rate, false-positive rate, transaction analysis latency, risk engine SLAs, and system stability.

• Work collaboratively with the Tech Lead, Architecture, and Data Science teams to incorporate predictive Machine Learning models and business rules.

• Engage in continuous discovery, structure hypotheses, define MVPs, and refine API contracts.

⛳️ Requirements

• Proven experience throughout the entire lifecycle of complex digital products, particularly in transaction platforms, technology infrastructure, payments, credit, or risk and fraud.

• Practical experience leading intricate architectural transitions, including monolith decoupling, microservices, messaging, and APIs.

• Strong skills in negotiation, active listening, and influence without authority.

• Ability to synthesize engineering and data discussions for non-technical stakeholders.

• Familiarity with financial and analytical metrics related to fraud prevention, including conversion versus risk, transaction churn, false positives, and chargebacks.

• Resilience and independence in structuring ambiguous problems and making strategic decisions with limited information.

• Educational background or professional experience in fields related to Computer Science, Engineering, Economics, or similar areas.

• Previous involvement in fraud prevention, particularly with rule engines and real-time integration of statistical and ML models.

• Preferred: Understanding of large-scale omnichannel ecosystems, such as retail, franchising, e-commerce, or high-volume fintechs.

🏝️ Benefits

• Flexible medical and dental plans.

• Prescription assistance and healthcare allowance for family members.

• Complimentary psychotherapy sessions and 24/7 telemedicine access.

• Continuous prevention, mental health, and vaccination programs.

• Meal vouchers (or on-site dining) and food allowances (including an additional voucher during Christmas).

• Discounts of up to 40% on products across our ecosystem.

• Gympass/TotalPass for access to gyms and sports studios.

• Home office allowance for hybrid and remote work configurations.

• Day off on your birthday.

• Pet health insurance, partner benefits, and travel/accommodation programs.

• Extended parental leave (180 days for mothers and 120 days for fathers).

• Support for parents of children with disabilities or special needs, along with childcare and daycare assistance.

• School supply allowance and child nutrition benefits.

• Dedicated legal, psychological, and social support.

• Private pension plan and life insurance coverage.

• Bereavement support following the loss of parents and payroll-deducted loans.

• Transportation allowance and parking (based on work arrangements).