Salesforce
Enterprise · CRM
- HQ
- San Francisco, US
- Founded
- 1999
- Size
- 35,000+
- Website
- salesforce.com
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.
Enterprise · CRM
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 |
|---|---|---|
| AI Research Scientist, Singapore Salesforce is seeking entrepreneurial Research Scientists to build, ship, and scale the next generation of Enterprise AI. This role involves identifying high-impact research directions, prototyping AI capabilities, validating ideas with customers, and turning concepts into production-ready solutions. The position emphasizes a startup-like pace and ownership within a large enterprise, focusing on customer adoption and technical innovation for real-world, large-scale problems. | ShipAgent | 9 |
| Software Engineering LMTS Lead Applied Scientist role focused on powering Salesforce's production-grade AI agents with core LLMs. The role involves hands-on work across the full model development lifecycle, including research, training, fine-tuning, evaluation, and deployment readiness, with a strong emphasis on reinforcement learning and continuous learning pipelines. Requires technical leadership, mentorship, and a PhD in a related field. The role operates at the intersection of research and deployment, aiming to translate prototypes into production-grade models. |
| Post-trainAgent |
| 9 |
| Summer 2026 Intern - AI Research Salesforce AI Research is seeking outstanding research interns to collaborate on projects leading to top-tier conference submissions. The role involves developing novel algorithms in NLP, CV, RL, or general ML, with a focus on pure research aligned with PhD areas. Candidates should have a strong background in deep learning and experience with libraries like PyTorch or TensorFlow. | Pretrain | 9 |
| Research Scientist - Salesforce AI Research Salesforce AI Research is seeking an AI Research Scientist/Engineer to develop new technology and science for millions of CRM customers, focusing on large-scale Generative AI, Agentic Systems, Speech Intelligence, and Multimodal Deep Learning. The role involves discovering research problems, developing novel models, and bridging theory with customer-facing reality, with opportunities to advance state-of-the-art AI and see work operate at massive scale within an enterprise context. Responsibilities include owning research goals, developing novel models and solutions for enterprise problems, and designing/building production-ready services and agentic evaluators. | Post-trainAgent | 9 |
| Principal Applied Scientist, Agentforce Operations Salesforce is seeking a Principal Applied Scientist for their Agentforce Operations team. The role focuses on designing, implementing, and training novel deep learning models for enterprise data, prototyping new architectures, and turning research into production-ready features. The ideal candidate has a Master's or PhD, experience with transformer architectures and retrieval mechanisms, a track record of publications, and strong Python skills with experience in distributed training frameworks. | Post-train | 8 |
| Principal Researcher, ES Research & Insights Salesforce is seeking a Principal Researcher with a specialized focus on Machine Learning to partner with executive leadership and C-suite stakeholders. The role involves setting strategic research priorities, building ML models for predictive and prescriptive workforce intelligence, and integrating advanced AI and LLMs into workforce strategy. Responsibilities include defining research questions, developing predictive and causal models, leading impact attribution studies, extracting insights from unstructured data, driving the evolution of research into scalable tools, identifying impacts on diverse employee segments, advising senior leadership, overseeing technical infrastructure and MLOps, and staying at the forefront of AI/LLM trends. | AgentData | 8 |
| Lead, Workforce Intelligence Salesforce is seeking a Lead in Workforce Intelligence with a specialized focus on Machine Learning and Applied Research. This role involves driving the end-to-end lifecycle of workforce research, from problem formulation and experimental design to the delivery of high-fidelity predictive models. The candidate will combine technical expertise in Machine Learning with a consulting mindset to analyze workforce patterns and employee experiences, transitioning research into scalable, automated tools for real-time business guidance. The role also emphasizes staying at the forefront of AI, Agents, and LLMs, and championing their adoption. | Post-train | 7 |