Salesforce currently has 133 active AI-related job listings. The majority of these roles, 78%, are focused on agents, with application roles making up another 12%. Engineering is the most frequent function hiring for these positions. Frequent tech tags include agent_orchestration, llm_observability, and tool_use, suggesting a focus on building and managing AI agent capabilities.
Currently tracking 106 active AI roles, with 397 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $197k–$345k (avg $271k).
Salesforce currently has 142 active AI-related roles in our index. The most common open titles are: Partner Technical Architect - Agentforce (3), AI Builder, Emerging Talent - Arabic Market (2), AI Builder, Emerging Talent - BNL Market (2), AI Builder, Emerging Talent - French Market (2), AI Builder, Emerging Talent - Hebrew Market (2). Most positions are in Engineering and Product.
Salesforce's active AI hiring is concentrated in: agents (77%), application (11%), serving infrastructure (5%). 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 (82 roles), India (12 roles), Ireland (11 roles), Mexico (9 roles).
Job postings at Salesforce most frequently mention: Content Generation, Software Engineering, Agentic Systems, System Design, Python.
In the past 30 days, Salesforce has posted 80 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Deal Desk Manager Salesforce is seeking a Deal Desk Manager for their Indonesia market to provide deal structuring and pricing support. The role involves mitigating risks, identifying improvement opportunities in complex transactions, and leveraging data-driven insights to scale deal processes. The manager will partner with senior sales leadership, review complex deals, guide sales on deal structures, and develop concession strategies. They will also lead cross-functional projects, collaborate with product teams on pricing, develop best practices, and enable sales teams. The role requires strong analytical and problem-solving skills, effective communication, relationship building, and the ability to work in a fast-paced environment. Proficiency in using AI-powered tools for deal analysis and pricing optimization is required, with experience leveraging AI/ML tools for sales analytics and revenue intelligence being preferred. | — | 5 |