Software Engineering SMTS

Salesforce is seeking a Software Engineering SMTS to join their Einstein products & platform team, which focuses on democratizing AI and transforming how the Salesforce Ohana builds trusted machine learning and AI products. The role is centered around Einstein Studio, which enables faster and easier deployment of enterprise-ready AI across business operations.

The ideal candidate will be technically proficient, with strong leadership capabilities and extensive experience in large-scale distributed Machine Learning services. You'll be working on a platform that provides unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces, and various microservices for the entire machine learning lifecycle.

This position offers the opportunity to work with cutting-edge AI technology, specifically with Einstein Studio, which allows companies to leverage proprietary, real-time customer data from Data Cloud to train AI models. You'll be instrumental in developing and maintaining systems that run across thousands of compute nodes in multiple datacenters, while also contributing to the architectural decisions that shape the future of Salesforce's AI platform.

The role combines technical expertise in distributed systems, machine learning, and software engineering with leadership responsibilities. You'll be expected to mentor team members, drive engineering excellence, and make critical technical decisions that impact the platform's evolution. Working at Salesforce means joining a company at the forefront of enterprise AI solutions, with the chance to influence how businesses implement and utilize AI technology at scale.