Product Manager
OscilarRemotePosted 27 March 2026
Tech Stack
Job Description
Product Manager
Shape the future of trust in the age of AI
At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place https://oscilar.com/careers.
WHY JOIN US:
- Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.
- Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.
- Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.
ROLE OVERVIEW
We are seeking an innovative AI Product Manager to lead the development of our next-generation risk orchestration platform. 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 in the AI era.
WHAT YOU'LL BUILD
VISUAL RISK ORCHESTRATION PLATFORM
You'll create a sophisticated visual workflow builder specifically designed for financial risk operations:
- Drag-and-Drop Risk Nodes: Pre-built components for common risk operations (KYC checks, transaction monitoring, credit scoring, sanctions screening) that connect seamlessly
- Real-Time Execution Canvas: Visual feedback showing live data flow, with ability to inspect outputs at each node and test individual steps without running entire workflows
- AI-Powered Decision Trees: Visual branching logic that adapts based on risk signals, with AI suggesting optimal paths and thresholds
- Risk-Specific Templates: Pre-built workflows for common scenarios like "High-Risk Transaction Investigation" or "Enhanced Due Diligence Flow"
NEXT-GENERATION AI INTEGRATION
Going beyond basic LLM nodes, you'll productize advanced AI capabilities:
- Agentic Risk Investigators: Autonomous AI agents that can navigate multiple data sources, conduct investigations, and escalate findings - think of nodes that don't just process data but actively investigate
- GenAI Document Analysis: Nodes that extract insights from unstructured documents (bank statements, incorporation docs, adverse media)
- Adaptive Learning Nodes: Components that improve their decisioning based on feedback loops and case outcomes
- Multi-Model Orchestration: Visual ensemble methods where multiple AI models vote on decisions with configurable weighting
ENTERPRISE-GRADE EXECUTION ENGINE
- Sub-100ms Performance: Real-time execution handling millions of decisions daily with queue management and worker distribution
- Error Recovery Workflows: Visual error handling with automatic retry logic and fallback paths for failed services
- Compliance Recording: Every decision path logged with full explainability for regulatory review
- Version Control Integration: Git-based workflow management with staging/production environments
KEY RESPONSIBILITIES
PRODUCT STRATEGY & VISION (30%)
- 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, cr ... (truncated, view full listing at source)
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