Salesforce
Lead Software Engineer, AI Labs (Product and Customer Facing)
$148K–$345K
California - San Francisco +2 · Office Tech-Flexible · Full-time · Posted Oct 19, 2026
- Location
- California - San Francisco
District of Columbia - Washington
New York - New York - Experience
- 5+ years in software engineering focused on AI/ML; 7–12 years for Lead or 4–8 years for Senior.
- Education
- B.S. in Computer Science with coursework in Artificial Intelligence; M.S. preferred.
About the job
Build and deliver production AI/ML software and cloud solutions, working directly with customers to address complex problems.
What you'll do
- Build tools and pipelines for ML and AI; design, deploy, and maintain production software and AI services.
- Roll out scalable cloud architectures and software, and debug full-stack deployments in customer environments.
- Gather end-user requirements, present to executives, and develop solutions to customer problems.
What they ask for
- 5+ years of software engineering experience focused on AI/ML; 7–12 years for Lead or 4–8 years for Senior.
- B.S. in Computer Science with coursework in Artificial Intelligence.
- Proficiency in multiple programming languages; strong background in APIs, data modeling, and databases.
- Experience with production cloud deployments and field-debugging full-stack deployments.
Nice to have
- M.S.
- Experience with open-source technologies such as Kubernetes, Envoy, Grafana, React, and Redux; UI and graphic design sensibilities.
Pay
USD $148,500 - $313,700 annually (base salary); USD $178,900 - $344,700 annually (base salary, select San Francisco and New York City metropolitan area cities)
Tools
Python, Go, Java, C++, AWS, GCP, OCI, Kubernetes
AI focus
Build ML/AI tools, pipelines, production AI services, and agentic evaluators; use AI-first engineering practices and AI development tools.
Model-written summary · the original posting is authoritative