Product Manager - AI

Role Description

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.

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

Qualifications

• 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.

Requirements

• 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.

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.