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 |
|---|---|---|
| Principal Decision Scientist Salesforce is seeking a Principal Decision Scientist to develop and scale methodologies for evaluating agentic workflows and AI systems, build models for attribution problems, lead complex experimental designs, and translate statistical findings for executive leadership. The role requires a Master's or PhD in a quantitative field, 10+ years of experience deploying causal models or experimental frameworks in production, proficiency in Python/R and SQL, and familiarity with LLM evaluation metrics and statistical challenges of non-deterministic AI outputs. | Eval GateAgent | 7 |
| Product Security Senior Penetration Tester This role focuses on offensive security for AI systems, leading adversarial testing, developing security frameworks and tooling, and partnering with AI teams to mitigate risks. It involves testing AI/ML systems, understanding LLM vulnerabilities, and building automated testing frameworks. |
| Eval GateAgent |
| 7 |
| Lead Decision Scientist Salesforce is seeking a Lead Decision Scientist to build evaluation frameworks for AI systems, focusing on agentic workflows and LLM-as-a-judge metrics. The role involves designing and analyzing experiments, setting statistical standards, and influencing strategy through data-driven storytelling. This senior individual contributor role requires expertise in causal inference and production deployment of models, with a focus on AI reliability and impact in an enterprise AI CRM context. | Eval GateAgent | 7 |