Top AI & Machine Learning Jobs

Lead strategic analytics across Go-To-Market and Account Management by building scalable analytical frameworks, diagnosing performance issues, developing dashboards and automations, and applying experimentation to identify causal relationships. Translate complex data into business strategy, drive measurable outcomes, and establish analytics best practices, terminology, and documentation across the organization.

Build and maintain dbt and Snowflake data models supporting reporting, experimentation, and machine learning use cases. Analyze consumer payment behavior, pricing, credit, and risk dynamics; design experiments; instrument product features; and create dashboards for Product, Risk, and GTM teams. Establish data quality standards, scalable data architecture, documentation, and technical direction while mentoring analysts and engineers.

Build core dbt and Snowflake data models, analyze consumer payments, credit, pricing, and risk behavior, design experiments, create dashboards, improve data quality, and set technical direction while mentoring analysts and engineers.

Lead risk and decision science for a new credit product: define risk policy and launch strategy, build scalable analytics and dashboards, own unit economics, partner with product/engineering/compliance, and use experimentation and AI/LLM tools to drive policy and LTV improvements.

Lead the content layer for AI-driven customer support tools, authoring dialogue flows and maintaining AI content for optimal customer experience. Analyze performance and improve workflows, ensuring accurate and safe interactions across channels.

Lead product strategy and execution for AI-driven, agentic customer support: design in-app support, LLM-native orchestration, ML-driven routing/personalization, agent assist, vendor integration, and data/interaction models to improve automation and resolution metrics.