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.
Currently tracking 98 active AI roles, down 53% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Enterprise · CRM
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 |
|---|---|---|
| Lead - Workforce Intelligence Salesforce is seeking a Lead, Workforce Intelligence to shape the future of employee listening and organizational research. This role combines data science, data engineering, behavioral science, and people analytics to transform workforce data into scalable intelligence for strategic decisions. The role involves designing analytical frameworks, developing ML and LLM solutions, creating reusable intelligence assets, and operationalizing capabilities. Responsibilities include analyzing employee feedback, collaboration patterns, and communication signals using NLP, network analysis, ML, and LLMs. The role also involves partnering with data engineering and technology teams to operationalize workforce sensing capabilities and leading the development of organizational network analysis. The candidate should have strong technical depth, intellectual curiosity, and the ability to influence stakeholders. | DataAgent |
| Director, Data Engineering — Customer Success Score Director of Data Engineering responsible for the strategic direction, architectural vision, and execution of data systems for Customer Success Score (CSS), a critical product intelligence asset at Salesforce. The role involves leading multiple engineering teams, setting technical standards for distributed data systems, and influencing AI-first product strategy. Focus is on building data products that power agentic intelligence and self-optimizing product experiences at enterprise scale. | DataAgent | 7 |