Teams at Oscilar

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

The Product Marketing Manager will develop go-to-market strategies, create compelling messaging, perform market research, and collaborate with product and sales teams to position Oscilar's AI risk platform effectively.

Own outbound pipeline for Fraud, Disputes & Chargebacks, and AML/Compliance verticals. Build multi-channel sequences (email, calls, LinkedIn), run experiments, design physical and digital direct mail, wire GTM systems via APIs/MCP connectors, use AI agents for personalization, generate qualified meetings for BDRs/AEs, and iterate to scale pipeline outcomes.