Lead Software Engineer - AI Applications

Salesforce's Cloud Economics and Capacity Management (CECM) team is seeking a Lead Engineer to develop AI and ML powered applications. This role involves working with a modern tech stack including Python, Airflow, Kubernetes, Spark, and PostgreSQL to build scalable, distributed systems that process massive volumes of operational data. The position focuses on developing intelligent, data-driven tools leveraging ML and AI techniques for Forecasting, Anomaly Detection, and LLM applications.

The role requires cross-functional collaboration with engineers, architects, product managers, and data scientists to build breakthrough features while ensuring stable and scalable applications. You'll be part of a self-governing product engineering team, working on optimizing cost efficiency and improving utilization across Salesforce services.

As a Lead Engineer, you'll drive strategy for infrastructure optimization, provide visibility into improvement opportunities, and guide service owners in delivering optimizations. The position offers competitive compensation ($157,600 - $276,100 depending on location) and comprehensive benefits including medical, dental, vision, 401k, and stock purchase options.

This is an ideal opportunity for someone passionate about building resilient distributed systems, with strong experience in ML/AI applications and a proven track record of technical leadership. The role combines hands-on development with mentorship and strategic planning, making it perfect for experienced engineers looking to make a significant impact at scale.