Salesforce
Enterprise · CRM
- HQ
- San Francisco, US
- Founded
- 1999
- Size
- 35,000+
- Website
- salesforce.com
Enterprise · CRM
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 |
| Summer 2026 Intern - AI Research Salesforce AI Research is seeking outstanding research interns to collaborate on projects leading to top-tier conference submissions. The role involves developing novel algorithms in NLP, CV, RL, or general ML, with a focus on pure research aligned with PhD areas. Candidates should have a strong background in deep learning and experience with libraries like PyTorch or TensorFlow. |
| Pretrain |
| 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 |
| Principal Researcher, ES Research & Insights Salesforce is seeking a Principal Researcher with a specialized focus on Machine Learning to partner with executive leadership and C-suite stakeholders. The role involves setting strategic research priorities, building ML models for predictive and prescriptive workforce intelligence, and integrating advanced AI and LLMs into workforce strategy. Responsibilities include defining research questions, developing predictive and causal models, leading impact attribution studies, extracting insights from unstructured data, driving the evolution of research into scalable tools, identifying impacts on diverse employee segments, advising senior leadership, overseeing technical infrastructure and MLOps, and staying at the forefront of AI/LLM trends. | AgentData | 8 |