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Lead architecture and execution of backend and ML infrastructure: real-time high-throughput streaming, ML training and serving platforms, GPU capacity and scheduling, inference scaling and optimization, reliability and observability, cross-team technical roadmaps, and mentoring senior engineers.

Design and implement analytical platforms with insightful dashboards, manage data warehouse schemas, ensure scalable architecture, and oversee data propagation processes.

Lead front-end development of customer and partner onboarding/operations products using React and TypeScript. Architect scalable front-end systems, build performant visualizations, integrate with backend APIs, drive engineering best practices, mentor junior engineers, and deliver enterprise B2B features end-to-end with testing and analytics.

The Senior Backend Engineer will design and maintain features for the AI platform, focusing on backend solutions, architecture, and best practices while working in an agile environment.

As a Senior Machine Learning Engineer, you'll build LLM-powered agents, collaborate on experiments, support prompt engineering, and monitor AI features in production.

Manage and optimize revenue systems and GTM tech stack (CRM, marketing automation, sales tools). Maintain data hygiene, generate reports and dashboards, support users, and drive cross-functional initiatives like deal desk, enablement, commission planning, and forecasting to improve GTM effectiveness.