Original listing text, shown exactly as published by the company.
Key Responsibilities
Product Strategy & Vision
- 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
Platform Architecture & Design
- 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
- Developer Experience: Enable power users with:
- JavaScript/Python code nodes for custom logic
- Webhook nodes for real-time event triggering
- API nodes with OAuth management
- Git sync for workflow version control
- CLI tools for workflow deployment
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
Required Qualifications
Experience
- 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
- Background in fintech, risk management, or financial services preferred
- Demonstrated success launching technical products for non-technical users
Technical Skills
- 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
Domain Knowledge
- 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
Product Skills
- 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
Preferred Qualifications
- 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
