Product Manager - AI

Oscilar Inc.

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• Lead the product vision and roadmap for Oscilar’s AI Risk Decisioning™ Platform, combining no-code visual workflow builders with Generative AI and Agentic AI to automate real-time risk decisions in fraud, credit, onboarding, and AML.
• Define and prioritize product features that bridge accessibility for non-technical users with the sophistication required for financial risk workflows, ensuring the platform outperforms competitors like n8n, Zapier, and Temporal.
• Develop success metrics and KPIs tied to fraud detection accuracy, credit approval efficiency, AML case resolution time, and onboarding conversion rates across customer segments.
• Collaborate closely with engineering teams to build a high-performance, scalable platform grounded in event-driven architectures, state machines, and real-time data processing using Kafka or RabbitMQ.
• Partner with risk domain experts in fraud, AML, and credit to validate workflow designs and ensure alignment with practitioner needs and regulatory constraints such as FCRA and GDPR Article 22.
• Work with customer success to gather feedback, iterate on platform capabilities, and translate user pain points into actionable product improvements.
• Coordinate with sales and marketing to articulate the platform’s unique value proposition, positioning it as the industry standard for AI-driven risk orchestration in fintech and digital finance.
• Lead agile ceremonies, maintain cross-functional alignment, and ensure transparent communication across engineering, design, customer success, and go-to-market teams.
• Research and integrate AI/ML concepts including LLMs, embeddings, vector databases, RAG, and agent architectures into workflow automation to enable dynamic, context-aware decisioning.
• Design and validate visual programming interfaces using node-based editors (e.g., Node-RED, Retool Workflows, Pipedream) to empower non-technical users to build and modify risk workflows without code.
• Ensure the platform supports seamless integration patterns including API design, webhooks, OAuth flows, and third-party data source connections critical for financial institutions.
• Evaluate and leverage workflow execution engines such as Temporal, Airflow, or Camunda to power reliable, auditable, and scalable risk decisioning pipelines.
• Conduct user research and apply design thinking to uncover unmet needs in risk operations, including case management and investigation workflows.
• Balance technical innovation with practical business constraints, ensuring product decisions are data-driven through A/B testing, experimentation, and quantitative analysis.
• Advocate for a user-centric approach that makes complex financial risk systems intuitive, transparent, and trustworthy for end users across banks, fintechs, and digitally native organizations.

🎯 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
• 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 risk decisioning workflows across fraud, AML, credit, and onboarding

🏖️ Benefits

• Competitive salary and equity packages, including a 401k plan
• 100% Employer covered comprehensive health, dental, and vision insurance for you and your dependents (US)
• Unlimited PTO policy
• Remote-first culture — work from anywhere
• AI-first company with over 50% of the team in Engineering and Product
• Unparalleled learning and professional development opportunities

Skills & Technologies

Node.js

Kafka

RabbitMQ

OAuth

Product Management

Remote

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Oscilar Inc.

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About Oscilar Inc.

Oscilar provides a no-code risk decisioning platform that enables fintechs and banks to build, test, and deploy real-time fraud prevention and credit risk models. The system centralizes identity, transaction, and alternative data, applies machine-learning rules, and offers continuous monitoring and explainable decisions. It is designed for product managers and analysts to reduce charge-offs, false positives, and manual reviews without engineering support.

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