Product Manager - AI

Key Responsibilities

Product Strategy & Vision

• 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

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

AI Vision, Roadmap and Feature Development

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

Benefits

• Compensation: Competitive salary and equity packages, including a 401k plan
• Flexibility: Remote-first culture — work from anywhere
• Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)
• Balance: Unlimited PTO policy
• Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
• Culture: Family-Friendly environment; Regular team events and offsites
• Development: Unparalleled learning and professional development opportunities
• Impact: Making the internet safer by protecting online transactions