Continued Excellence in AI/ML : Be tuned into developments in the field of AI/ML, by tracking publicly available models, frameworks, libraries and publications, while being focused on their practical application and relevance to Salesforce.
Human Evaluation: Oversee human evaluation processes for subjective quality dimensions, such as response engagement, user safety, and contextual accuracy.
Define Quality Strategies: Develop and implement robust quality strategies for Salesforce's SaaS products, focusing on AI/ML and LLM integrations.
Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into h
Additional Information
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Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Overview of the Role:
We are infusing AI into every aspect of our software engineering. While AI is writing the code, validation is what needs to be done to meet enterprise quality. We are looking for an enthusiastic Lead engineer who follows the AI first approach to build and maintain validation of the code and ensure it is production ready for our customers. This individual will be working on our recent acquisition SPIFF, a Sales rep compensation engine that solves a critical problem for the enterprise sales team. This engineer should have an AI first approach and be able to help the team translate from traditional testing to using AI in driving acceleration and accuracy in testing and be a multiplier using AI tools. Prior experience as a member of a Data Science, ML Science, or ML Engineering team is a plus.
As a System Quality LMTS, you will play a key role in defining, implementing, and maintaining the quality strategy for Spiff, a Salesforce acquisition and one of Sales Cloud growth engines, With a strong focus on integrating cutting-edge AI technologies. You will collaborate with cross-functional teams, including product development, data science, and AI teams, to ensure that Salesforce's AI-driven solutions meet the highest quality standards for enterprise applications.
Salesforce · San Francisco, CA