Salesforce
Enterprise · CRM
- HQ
- San Francisco, US
- Founded
- 1999
- Size
- 35,000+
- Website
- salesforce.com
Salesforce currently has 139 active job listings related to artificial intelligence. The majority of these roles, 83%, are focused on agents. Engineering is the most frequent function hiring for these positions, with 108 roles. Recent hiring activity shows a significant increase, with 135 new AI roles posted in the last 30 days, a 238% rise compared to the preceding 30-day period. Key technologies mentioned in these listings include agent orchestration, LLM observability, and tool use.
Enterprise · CRM
Currently tracking 98 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Salesforce currently has 169 active AI-related roles in our index. The most common open titles are: Forward Deployed Engineer (7), AI Builder, Emerging Talent (3), Agentforce Forward Deployed Engineer (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (84%), application (8%), serving infrastructure (3%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Salesforce is hiring AI talent in: United States (94 roles), Mexico (19 roles), Ireland (12 roles), Spain (7 roles).
Job postings at Salesforce most frequently reference: agent orchestration, llm observability, tool use, rag, model serving.
In the past 30 days, Salesforce has posted 95 new AI-related roles. That is a -32% change versus the prior 30 days (140 → 95).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack Software Engineer role focused on building and operating foundational ML infrastructure for Slack AI. This includes systems for large-scale model training, GPU-backed inference, and deployment using Kubernetes, Ray, and vLLM. The role emphasizes reliability, performance, and scalability for AI-driven capabilities within Slack. | ServeData | 8 |
| Software Engineering SMTS Backend Software Engineer role focused on building and scaling platform services for LLM technology within Salesforce's Einstein platform, supporting Agentforce and AI apps. The role involves developing production-ready code, making design decisions for performance and scalability, and working with various LLM technologies in a microservice SaaS environment. | Serve |
| 7 |
| Production Support Engineering LMTS Salesforce is seeking a Production Support Engineer (LMTS) to join their embedded reliability team for the Agentforce for Supply Chain platform. This role focuses on production excellence, performance tuning, and infrastructure automation to scale the platform for global demand and enterprise-grade resilience. The engineer will partner with PMTS-level engineers, contribute to infrastructure strategy, maintain automated environments, support AI/ML infrastructure, harden the observability stack, optimize performance, and leverage AI tools for operational tasks. The role requires strong experience in SRE/Production Engineering, Kubernetes, Terraform, cloud platforms, and coding in Golang, TypeScript, or Python, with a deep understanding of distributed systems and AI agents. Advanced prompt engineering skills and an AI-first approach to engineering are essential. | ServeAgent | 7 |