Salesforce
Enterprise · CRM
- HQ
- San Francisco, US
- Founded
- 1999
- Size
- 35,000+
- Website
- salesforce.com
Enterprise · CRM
Salesforce currently has 133 active AI-related job listings. The majority of these roles, 78%, are focused on agents, with application roles making up another 12%. Engineering is the most frequent function hiring for these positions. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on building and managing AI agent capabilities.
Currently tracking 106 active AI roles, with 397 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $197k–$345k (avg $271k).
Salesforce currently has 142 active AI-related roles in our index. The most common open titles are: Partner Technical Architect - Agentforce (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2), AI Builder, Emerging Talent - French Market (2), AI Builder, Emerging Talent - Hebrew Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (77%), application (11%), serving infrastructure (5%). 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 (82 roles), India (12 roles), Ireland (11 roles), Mexico (9 roles).
Job postings at Salesforce most frequently mention: Content Generation, Software Engineering, Agentic Systems, System Design, Python.
In the past 30 days, Salesforce has posted 80 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Research Scientist - Salesforce AI Research Salesforce AI Research is seeking an AI Research Scientist/Engineer to develop new technology and science for millions of CRM customers, focusing on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning. The role involves discovering research problems, developing novel models, and bridging theory with customer-facing reality, with opportunities to advance state-of-the-art AI and see work operate at massive scale within an enterprise context. Responsibilities include owning research goals, developing novel models and solutions for enterprise problems, and designing/building production-ready services and agentic evaluators. | Post-trainAgent | 9 |
| Principal Applied Scientist, Agentforce Operations Salesforce is seeking a Principal Applied Scientist for their Agentforce Operations team. The role focuses on designing, implementing, and training novel deep learning models for enterprise data, prototyping new architectures, and turning research into production-ready features. The ideal candidate has a Master's or PhD, experience with transformer architectures and retrieval mechanisms, a track record of publications, and strong Python skills with experience in distributed training frameworks. |
| Post-train |
| 8 |