Build and run outbound prospecting, qualify inbound leads, conduct product demos and technical discovery with security teams, close deals, gather customer feedback, develop sales messaging and collateral, collaborate on GTM strategy, and track metrics to iterate quickly.

Build and own end-to-end full-stack features that surface fraud, deepfake, and identity signals. Design backend APIs and services, develop responsive React/TypeScript UIs, contribute to data pipelines and ATS integrations, and partner with design, product, and ML teams to ship high-quality enterprise recruiting workflows.

Design, train, and deploy ML models for fraud detection, synthetic identity, and deepfake detection. Build evaluation pipelines, labeled datasets, benchmarks, and monitoring. Productionize models with backend engineering for latency, throughput, and reliability. Research adversarial approaches, multimodal fusion, and active-learning; partner with product and threat intelligence to convert fraud patterns into trainable signals.