Product Manager

Oscilar is building an advanced AI Risk Decisioning™ Platform to help banks and fintechs manage fraud, credit, and compliance risk. They are seeking an innovative AI Product Manager to lead the development of a next-generation risk orchestration platform that combines visual workflow automation with cutting-edge AI capabilities.

Responsibilities:

• Define the product vision for an AI-first risk orchestration platform that revolutionizes how FIs manage risk workflows
• Develop the roadmap that balances no-code accessibility with sophisticated AI capabilities
• Research and analyze competitive landscape (n8n, Zapier, Temporal) to identify differentiation opportunities
• Create the strategy for transitioning from traditional rule engines to AI-orchestrated decisioning
• Define success metrics and KPIs that demonstrate value across fraud, credit, AML, and onboarding use cases
• Agentic Workflow Components: Design autonomous AI nodes that can:
• Conduct multi-step investigations across data sources
• Generate SAR narratives with supporting evidence
• Perform iterative searches until finding conclusive results
• Make decisions and explain reasoning in natural language
• Learn from investigator feedback to improve future decisions
• LLM Integration Framework: Build a flexible system supporting:
• Multiple LLM providers (OpenAI, Anthropic, local models)
• RAG nodes for policy and regulation lookups
• Prompt engineering interface within nodes
• Token usage monitoring and cost optimization
• Model performance A/B testing within workflows
• Intelligent Orchestration: Create smart workflow features:
• AI-suggested next nodes based on current data flow
• Automatic workflow optimization (identifying bottlenecks)
• Anomaly detection on workflow performance
• Dynamic routing based on confidence scores
• Self-healing workflows that adapt to API changes
• Human-in-the-Loop AI: Design collaborative features:
• AI draft decisions with human approval nodes
• Feedback collection nodes that train models
• Explainability widgets showing AI reasoning
• Confidence thresholds triggering human review
• Audit trails for all AI decisions
• 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 flow
• Node search with AI-powered recommendations ("nodes similar to velocity checks")
• Sticky notes and documentation directly on the canvas
• Workflow simulation with synthetic data for testing
• Performance profiling showing latency at each node
• Template Marketplace: Curate risk-specific workflows:
• "FATF-Compliant Transaction Monitoring" template
• "SaaS Fraud Prevention Suite" with pre-configured rules
• "Instant KYC + Credit Decision" for lending
• Community-contributed workflows with security vetting
• Cross-Functional Leadership: Collaborate with engineering to build a platform that's both powerful and performant
• Work with risk domain experts (fraud, AML, credit) to ensure workflows meet practitioner needs
• Partner with customer success to gather feedback and iterate on platform capabilities
• Coordinate with sales and marketing to articulate the platform's unique value proposition
• Lead agile ceremonies and maintain clear communication across all stakeholders

Requirements:

• 5+ years of product management experience, with at least 3 years in B2B SaaS platforms
• Proven track record building workflow automation, orchestration, or integration platforms
• Experience with AI/ML products, particularly in production environments
• Background in fintech, risk management, or financial services preferred
• Demonstrated success launching technical products for non-technical users
• Deep understanding of workflow orchestration patterns, event-driven architectures, and state machines
• Experience 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 architectures
• Understanding of real-time systems, message queuing (Kafka, RabbitMQ), and streaming data processing
• Familiarity with API design, webhooks, OAuth flows, and integration patterns
• Experience with workflow execution engines (Temporal, Airflow, Camunda)
• Understanding of no-code/low-code platforms and visual programming paradigms
• Understanding of risk decisioning workflows across fraud, AML, credit, and onboarding
• Knowledge of regulatory requirements for automated decision-making (FCRA, GDPR Article 22)
• Familiarity with risk operations including case management and investigation workflows
• Understanding of financial services infrastructure and data sources
• Strong analytical skills with ability to translate complex technical concepts into user value
• Excellent written and verbal communication skills
• Data-driven decision making with experience in A/B testing and experimentation
• User research and design thinking capabilities
• Ability to balance technical innovation with practical business needs
• Technical background in Computer Science or Engineering
• Experience with specific technologies: Node-RED, Apache Airflow, Temporal, or similar workflow engines
• Knowledge of specific risk platforms (Actimize, SAS, Feedzai, etc.)
• Experience building developer platforms or tools
• Understanding of MLOps and model deployment pipelines
• Background in building real-time, mission-critical systems