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

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

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

Competitive salary and equity packages, including a 401k plan
Remote-first culture — work from anywhere
100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
Unlimited PTO policy