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.
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 Engineering LMTS Lead Applied Scientist role focused on powering Salesforce's production-grade AI agents with core LLMs. The role involves hands-on work across the full model development lifecycle, including research, training, fine-tuning, evaluation, and deployment readiness, with a strong emphasis on reinforcement learning and continuous learning pipelines. Requires technical leadership, mentorship, and a PhD in a related field. The role operates at the intersection of research and deployment, aiming to translate prototypes into production-grade models. | Post-trainAgent | 9 |
| 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 |