Teams at Sift

Lead enterprise sales revenue and pipeline growth, manage complex SaaS sales cycles, enforce MEDDPICC and Command of the Message, coach Enterprise Account Executives, shape go-to-market strategy, and build executive relationships across customer and cross-functional stakeholders.

Lead and grow the ML Platform team, owning roadmap, execution, architecture, and production quality for model training, evaluation, serving, and monitoring systems. Partner with customers, Sales, Solutions Engineering, Data Science, Infrastructure, Product, and Customer Success on technical proof-of-value engagements. Modernize feature infrastructure, automate ML lifecycle processes, reduce technical debt, improve evaluation frameworks, and hire and mentor engineering talent.

Build and deploy low-latency, production-grade ML models and end-to-end pipelines for fraud detection. Engineer high-frequency time-series features from massive event streams, maintain automated MLOps/CI-CD infrastructure, optimize runtime scoring performance across distributed systems, and collaborate with infrastructure, product, and data science teams to translate fraud signals into robust algorithmic solutions.