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 |
|---|---|---|
| Director, Decision Science Salesforce is seeking a Director of Decision Science to lead a team focused on developing data foundations, metrics, and insights for their AI CRM platform. The role involves shaping data strategy, leading a multi-disciplinary team, defining roadmaps, and influencing product and business strategy through data. The candidate will champion AI-driven analytics and ensure AI agents and human decision-makers have access to reliable data. | Ship | 7 |
| Director of Product Management, Tableau AI Director of Product Management for Tableau Cloud & Server AI product team, focusing on building AI-powered data experiences through conversational AI and intelligent analytics. The role involves owning products from concept to launch, defining product requirements, leading AI evaluations, partnering on go-to-market strategies, and engaging with customers and field teams. Requires deep experience in AI, particularly conversational AI and LLMs, with a strong track record of shipping impactful products from 0 to 1. |
| ShipAgent |
| 7 |
| Lead Software Engineer (AI/ML) Lead Software Engineer focused on AI/ML for software validation and quality assurance in an enterprise AI CRM context. The role involves driving innovation by integrating AI/ML into workflows, evaluating AI-generated code, overseeing human evaluation for subjective quality, defining quality strategies for AI/ML integrations, and designing systems where AI agents support human workflows. Prior experience in Data Science, ML Science, or ML Engineering is a plus. | ShipEval Gate | 7 |
| VP, Software Engineering, Field Service VP of Engineering role at Salesforce focused on leading the next generation of their Agentforce Field Service product line. The role involves driving AI-first solutions at scale, transforming workforce management, scheduling, and voice-directed experiences. The candidate will manage, grow, and inspire a global engineering team, partner with product management, and drive architecture, execution, and delivery of new product capabilities. | ShipAgent | 7 |
| Director of Production Support Engineering Director of Production Support Engineering for a high-growth AI CRM product, focusing on scaling, reliability, and compliance for enterprise and government clients. The role involves strategic roadmap development, people leadership, managing multi-substrate deployments, overseeing legacy systems, and ensuring infrastructure meets strict regulatory requirements. It emphasizes leveraging AI tools for development workflows and integrating AI agents into human processes. | ShipServe | 7 |