Job DescriptionJob Title: Senior Product Manager – Fraud (AI-First) Company: SymphonyAI Financial ServicesLocation: Bangalore, India (Hybrid) Overview SymphonyAI Financial Services is seeking a Senior Product Manager (AI First) to define and build a market-leading fraud platform used by banks, insurers, payment providers, and gaming companies to detect, prevent, and manage fraud and financial crime at scale. This role is for a hands-on, deeply technical, domain-fluent product leader who understands that modern fraud is no longer a rules problem — it is a real-time decisioning, orchestration, and learning problem spanning detection, prevention, investigation, customer experience, and regulatory defensibility. You will own the end-to-end fraud product strategy, from real-time risk assessment and adaptive decisioning through investigation, recovery, and continuous learning. You will work at the intersection of AI, real-time systems, financial crime, and customer experience, and help define how fraud decisions are made across industries. This is not a maintenance role.This is a category-shaping role. What You Will Own You will be accountable for building a fraud product that: Outperforms incumbents on accuracy, speed, and explainability Scales across multiple verticals with different fraud economics Balances loss prevention, customer friction, operational cost, and regulatory expectations Evolves continuously as fraud tactics change Key Responsibilities Product Vision & Strategy (Category Leadership) Define and continuously refine the long-term product vision and multi-year roadmap for SymphonyAI’s fraud platform. Articulate a clear AI-first and Agentic AI strategy for fraud, spanning: Real-time scoring and decisioning Adaptive controls and step-up actions Alert generation, suppression, and prioritization Automated and assisted investigations Recovery, reimbursement, and learning loops Position the fraud product as a platform, not a point solution — extensible across channels, geographies, and industries. Translate emerging fraud typologies, regulatory changes, and customer needs into differentiated product capabilities. Define how fraud integrates with the broader financial crime and risk ecosystem (AML, KYC/CDD, sanctions, investigations, customer risk, entity resolution). Domain & Customer Leadership (Multi-Vertical Fraud Expertise) Act as a trusted domain expert for customers across: Banking & Payments: cards, wires, ACH, RTP, instant payments, digital banking, account takeover, scams. Insurance: claims fraud, application fraud, policy abuse, first-party fraud. Gaming & Digital Platforms: bonus abuse, multi-accounting, collusion, bot-driven fraud, identity abuse. Deeply understand and shape fraud operating models, including: Real-time vs post-event decisioning Alert triage and prioritization Analyst workflows and investigation quality Customer communication and resolution Chargebacks, claims, recovery, and reimbursement QA, audit, governance, and regulatory oversight Engage directly with fraud leaders, operations heads, risk executives, and product teams at Tier 1 and Tier 2 institutions to validate strategy and execution. Maintain strong awareness of global regulatory and network expectations (e.g., Reg E, PSD2/PSR, APP reimbursement regimes, card network rules, consumer protection and explainability requirements). AI & Agentic AI Productization (Best-in-Class Execution) Partner with AI/ML and data science teams to deliver state-of-the-art fraud capabilities, including: Real-time and near-real-time risk scoring Behavioral, device, identity, and network-based detection Alert clustering, suppression, and dynamic prioritization Agent-driven evidence gathering across internal and external data sources AI copilots for fraud analysts (recommended actions, summaries, decision rationales) Define and operationalize Agentic AI patterns for fraud, such as: Autonomous resolution of low-risk events Adaptive step-up authentication and control selection Proactive scam detection and customer intervention Continuous tuning driven by outcomes, feedback, and emerging threats Own the balance between innovation, explainability, human oversight, and regulatory defensibility. Ensure all AI-driven decisions are transparent, auditable, and production-safe. Platform, Architecture & Extensibility Collaborate with UX, platform and engineering teams to ensure the fraud product is built on: Real-time decision engines and streaming architectures Configurable workflows and decision orchestration Rich data models ontology and entity resolution APIs and integration points for partners and customers Enable customers to configure, extend, and evolve fraud strategies without vendor dependency. Support complex enterprise needs: high throughput, low latency, multi-tenant SaaS, data residency, permissions, and global deployments. Product Execution & Delivery Translate strategy into clear, prioritized roadmaps, epics, and user stories with measurable outcomes. Lead discovery, backlog refinement, sprint planning, and release execution with engineering, UX, and data science. Drive the full product lifecycle — from concept to scaled adoption. Partner with UX to deliver best-in-class analyst and operator experiences, including: Real-time dashboards and queues Alert and case views Investigation timelines and evidence workspaces Decisioning, overrides, and controls Management reporting and governance tooling Go-To-Market & Commercial Impact Partner with Sales, Marketing, and Customer Success on strategic deals, RFPs, workshops, and demos. Own product packaging, pricing input, ROI narratives, and competitive differentiation. Support Marketing with clear positioning and thought leadership on fraud, scams, and AI-driven prevention. Define and track success metrics, including: Fraud loss reduction False positive and customer friction reduction Analyst productivity Recovery and reimbursement performance AI adoption and measurable impact Ideal Candidate Profile Experience 7+ years of product management experience in fraud, risk, payments, fintech, regtech, or financial services. Deep hands-on experience with fraud detection, prevention, and investigation in at least one major vertical; exposure to multiple is a strong plus. Proven experience building AI-powered, real-time, enterprise-scale products. Track record of driving platform products, not just features, from concept to adoption. Experience working with large banks, insurers, gaming companies, or global platforms. Skills & Competencies AI-First & Systems Thinking Ability to reason from first principles about decisioning, orchestration, and learning systems. Comfort translating ML, LLMs, and decision engines into real-world product behavior. Fraud & Risk Depth Strong understanding of fraud economics, trade-offs, and customer impact. Fluency in explainability, governance, and operational controls. Product Leadership Proven ability to set direction, make hard trade-offs, and lead cross-functional teams. Data-driven, outcome-oriented decision maker. User & Operator Empathy Passion for building products that reduce friction while improving outcomes. Ability to simplify complex workflows without oversimplifying risk. Communication & Influence Clear, credible communicator with executives, customers, and technical teams. Comfortable representing the product externally with customers and partners. Nice to Have Experience with real-time decisioning, streaming systems, or payments infrastructure. Exposure to graph/network analytics, identity, device intelligence, or behavioral biometrics. Familiarity with Agentic AI frameworks or autonomous workflows. Background in data platforms or distributed systems. What Success Looks Like (First 12–18 Months) A clear, bold fraud product roadmap aligned with SymphonyAI’s platform strategy. Delivery of step-change improvements in fraud accuracy, speed, and explainability. Strong adoption by flagship customers across multiple verticals. Demonstrated, quantified customer ROI and competitive wins. Recognition of SymphonyAI as a serious, modern fraud platform, not just a vendor. Why SymphonyAI Build the next generation of fraud and financial crime decisioning platforms. Work on mission-critical, real-time systems that directly impact customers and institutions. Shape a category alongside senior leaders in product, AI, and financial crime.