Product Manager - Orchestration Platform

Shape the future of trust in the age of AI At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.Why Join UsMission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.Role Overview We are seeking an innovative AI Product Manager to lead the development of our next-generation risk orchestration platform. You will be building the future of risk decisioning - a visual workflow automation platform meets cutting-edge AI, specifically designed for financial risk workflows. This platform will combine no-code visual workflow builders with Generative AI and Agentic AI capabilities to automate complex real-time decisioning for fraud, credit, onboarding, and AML use cases. This is a unique opportunity to define how financial institutions will orchestrate risk operations in the AI era.What You'll Build Visual Risk Orchestration Platform You'll create a sophisticated visual workflow builder specifically designed for financial risk operations:Drag-and-Drop Risk Nodes: Pre-built components for common risk operations (KYC checks, transaction monitoring, credit scoring, sanctions screening) that connect seamlesslyReal-Time Execution Canvas: Visual feedback showing live data flow, with ability to inspect outputs at each node and test individual steps without running entire workflowsAI-Powered Decision Trees: Visual branching logic that adapts based on risk signals, with AI suggesting optimal paths and thresholdsRisk-Specific Templates: Pre-built workflows for common scenarios like "High-Risk Transaction Investigation" or "Enhanced Due Diligence Flow"Next-Generation AI IntegrationAgentic Risk Investigators: Autonomous AI agents that can navigate multiple data sources, conduct investigations, and elevate findings - think of nodes that don't just process data but actively investigateGenAI Document Analysis: Nodes that extract insights from unstructured documents (bank statements, incorporation docs, adverse media)Adaptive Learning Nodes: Components that improve their decisioning based on feedback loops and case outcomesMulti-Model Orchestration: Visual ensemble methods where multiple AI models vote on decisions with configurable weightingEnterprise-Grade Execution EngineSub-100ms Performance: Real-time execution handling millions of decisions daily with queue management and worker distributionError Recovery Workflows: Visual error handling with automatic retry logic and fallback paths for failed servicesCompliance Recording: Every decision path logged with full explainability for regulatory reviewVersion Control Integration: Git-based workflow management with staging/production environmentsKey ResponsibilitiesProduct Strategy & Vision (30%)Define the product vision for an AI-first risk orchestration platform that revolutionizes how FIs manage risk workflowsDevelop the roadmap that balances no-code accessibility with sophisticated AI capabilitiesResearch and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunitiesCreate the strategy for transitioning from traditional rule engines to AI-orchestrated decisioningDefine success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use casesAI Feature Development (30%)Agentic Workflow Components: Design autonomous AI nodes that can:Conduct multi-step investigations across data sourcesGenerate SAR narratives with supporting evidencePerform iterative searches until finding conclusive resultsMake decisions and explain reasoning in natural languageLearn from investigator feedback to improve future decisionsLLM Integration Framework: Build a flexible system supporting:Multiple LLM providers (OpenAI, Anthropic, local models)RAG nodes for policy and regulation lookupsPrompt engineering interface within nodesToken usage monitoring and cost optimizationModel performance A/B testing within workflowsIntelligent Orchestration: Create smart workflow features:AI-suggested next nodes based on current data flowAutomatic workflow optimization (identifying bottlenecks)Anomaly detection on workflow performanceDynamic routing based on confidence scoresSelf-healing workflows that adapt to API changesHuman-in-the-Loop AI: Design collaborative features:AI draft decisions with human approval nodesFeedback collection nodes that train modelsExplainability widgets showing AI reasoningConfidence thresholds triggering human reviewAudit trails for all AI decisionsPlatform Architecture & Design (25%)Node Library Development: Design 200+ pre-built risk nodes including:Data ingestion nodes (core banking APIs, bureau connectors, blockchain analyzers)Enrichment nodes (identity verification, device fingerprinting, graph analytics)Decision nodes (ML scoring, rules engines, policy tables)Action nodes (case creation, alert generation, automated responses)AI nodes (investigation agents, narrative generators, anomaly detectors)Workflow Studio Features: Create an intuitive builder with:Split-screen design showing workflow logic and live data flowNode search with AI-powered recommendations ("nodes similar to velocity checks")Sticky notes and documentation directly on the canvasWorkflow simulation with synthetic data for testingPerformance profiling showing latency at each nodeTemplate Marketplace: Curate risk-specific workflows:"FATF-Compliant Transaction Monitoring" template"SaaS Fraud Prevention Suite" with pre-configured rules"Instant KYC + Credit Decision" for lendingCommunity-contributed workflows with security vettingDeveloper Experience: Enable power users with:JavaScript/Python code nodes for custom logicWebhook nodes for real-time event triggeringAPI nodes with OAuth managementGit sync for workflow version controlCLI tools for workflow deploymentCross-Functional Leadership (15%)Collaborate with engineering to build a platform that's both powerful and performantWork with risk domain experts (fraud, AML, credit) to ensure workflows meet practitioner needsPartner with customer success to gather feedback and iterate on platform capabilitiesCoordinate with sales and marketing to articulate the platform's unique value propositionLead agile ceremonies and maintain clear communication across all stakeholdersExperience Required Qualifications5+ years of product management experience, with at least 3 years in B2B SaaS platformsProven track record building workflow automation, orchestration, or integration platformsExperience with AI/ML products, particularly in production environmentsBackground in fintech, risk management, or financial services preferredDemonstrated success launching technical products for non-technical usersTechnical SkillsDeep understanding of workflow orchestration patterns, event-driven architectures, and state machinesExperience with visual programming concepts and node-based editors (Node-RED, Retool Workflows, Pipedream)Knowledge of AI/ML concepts including LLMs, embeddings, vector databases, RAG, and agent architecturesUnderstanding of real-time systems, message queuing (Kafka, RabbitMQ), and streaming data processingFamiliarity with API design, webhooks, OAuth flows, and integration patternsExperience with workflow execution engines (Temporal, Airflow, Camunda)Understanding of no-code/low-code platforms and visual programming paradigmsDomain KnowledgeUnderstanding of risk decisioning workflows across fraud, AML, credit, and onboardingKnowledge of regulatory requirements for automated decision-making (FCRA, GDPR Article 22)Familiarity with risk operations including case management and investigation workflowsUnderstanding of financial services infrastructure and data sourcesProduct SkillsStrong analytical skills with ability to translate complex technical concepts into user valueExcellent written and verbal communication skillsData-driven decision making with experience in A/B testing and experimentationUser research and design thinking capabilitiesAbility to balance technical innovation with practical business needsPreferred QualificationsTechnical background in Computer Science or EngineeringExperience with specific technologies: Node-RED, Apache Airflow, Temporal, or similar workflow enginesKnowledge of specific risk platforms (Actimize, SAS, Feedzai, etc.)Experience building developer platforms or toolsUnderstanding of MLOps and model deployment pipelinesBackground in building real-time, mission-critical systemsBenefitsCompensation: Competitive salary and equity packages, including a 401k planFlexibility: Remote-first culture — work from anywhereHealth: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)Balance: Unlimited PTO policyTechnical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and ProductCulture: Family-Friendly environment; Regular team events and offsitesDevelopment: Unparalleled learning and professional development opportunitiesImpact: Making the internet safer by protecting online transactions#J-18808-Ljbffr