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 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.
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 |
|---|---|---|
| Customer Success Manager Salesforce is seeking a Customer Success Manager for their largest and highest-profile Core and Marketing Cloud customers. The role involves partnering with assigned accounts to improve their technical and operational health, maximize value from their Salesforce investment, and act as a trusted advisor. Responsibilities include cultivating stakeholder relationships, coordinating service delivery, providing feature guidance, advising on new feature adoption, advocating for customers during high-severity cases, and managing customer expectations. The role requires expertise in the Salesforce Ecosystem, strong communication skills, and the ability to translate business needs into technical solutions. | — | 5 |
| Account Partner Director Salesforce is seeking an Account Partner Director to lead services engagement for a defined territory, focusing on driving measurable business outcomes through an outcomes-based selling model. The role involves orchestrating the Success Cloud portfolio, building C-level relationships, and acting as a trusted advisor. The candidate will leverage AI tools daily for research, planning, and customer engagement, and champion AI adoption with customers. Success is measured by services bookings, revenue growth, adoption velocity, and customer-reported business outcomes. |
| — |
| 5 |
| Enterprise Analytics Account Executive Salesforce is seeking an Enterprise Analytics Account Executive to sell their Analytics portfolio (Tableau and CRM Analytics) to strategic accounts. This role involves owning the full sales cycle, driving revenue growth, and collaborating with internal teams and partners. The ideal candidate is a consultative seller with deep understanding of the analytics ecosystem and AI/ML capabilities, capable of translating technical features into business value. | — | 5 |
| Cloud Account Executive - Data Cloud Salesforce is seeking an Account Executive specializing in Data Cloud, a technical sales role focused on driving revenue growth and client relationships by showcasing how Data Cloud can solve critical business goals. The role requires extensive experience in enterprise B2B sales with emerging technologies, deep understanding of the Salesforce platform and Data Cloud, and the ability to craft tailored solutions and compelling value propositions. | — | 5 |
| Account Solution Engineer Salesforce is seeking an Account Solution Engineer (also known as a Pre-Sales Consultant or Sales Consultant) to present product offerings and architecture to prospects and customers, remove technical objections in the sales cycle, solicit business requirements, develop a technical sales strategy, and configure/demonstrate solutions. The role involves understanding customer needs, building customized demos, conveying deep product knowledge, and participating in training. The position is within the Sales category and focuses on the enterprise AI CRM domain. | — | 0 |