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 Agentic Data Systems Engineer Salesforce is seeking a Principal Agentic Data Systems Engineer to architect and manage a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. This role involves designing multi-step reasoning architectures, verification protocols, and managing hand-off protocols between specialized AI agents, acting as a central anchor for a hybrid human-agent intelligence unit. The engineer will also develop and maintain Model Context Protocol (MCP) servers for agent access to data sources. | AgentData | 9 |
| AI Engineer - Forward Deployed Engineer (Multiple Levels) Salesforce is seeking an AI Engineer - Forward Deployed Engineer to design, develop, and implement bespoke AI solutions leveraging their Agentforce platform and other technologies. The role involves end-to-end technical delivery, removing technical blockers, building AI solutions with LLMs and intelligent agents, data configuration and integration, and driving innovation on the Agentforce platform. Requires strong programming skills, hands-on experience with AI/LLM technologies, and data platforms. |
| Agent |
| 8 |
| Machine Learning Platform Engineer Lead AI Platform Engineer responsible for building, maintaining, and scaling the core infrastructure, platform services, and CI/CD pipelines that underpin machine learning initiatives and product launches. This role emphasizes using AI tools (like Claude Code and autonomous agents) to accelerate development workflows, infrastructure-as-code, and platform component development. The engineer will also build and curate an internal AI tool and skills marketplace and ensure security and compliance for AI tooling. | AgentServe | 8 |
| Principal AI Engineer Seeking a Principal AI Engineer to build and maintain the ML/AI platform powering autonomous AI agents at enterprise scale. This role focuses on agent harness infrastructure, sandboxed execution, evaluation frameworks, CI/CD pipelines for agent deployment, and overall platform architecture and reliability. The goal is to enable the development, testing, and trusted production deployment of AI agents across various Salesforce verticals. | AgentEval Gate | 8 |
| Lead AI Engineer Lead AI Engineer to drive the development of next-generation AI and ML systems, focusing on building an agent flywheel with self-improving feedback loops. The role involves designing and implementing feedback loops for agent evaluation and optimization, developing production ML models and AI agents that combine LLM reasoning and tool usage, and engineering data pipelines for training and evaluation. Emphasis on closing the loop from production signals to model improvements and building hybrid systems blending deterministic logic, model-based scoring, and LLM generation. | AgentPost-train | 8 |
| AI Builder, Emerging Talent Salesforce is seeking early-career AI Builders to design, develop, and deploy agentic solutions for Fortune 500 companies. This role involves building AI agents that take real actions, designing agent intelligence (prompts, reasoning, tool calls), supporting the technical lifecycle, and collaborating with clients to create agentic solutions. The program emphasizes hands-on technical skill development, mentorship, and real-time customer impact. | Agent | 8 |
| Lead Agentic Data Systems Engineer Lead Agentic Data Systems Engineer responsible for architecting and maintaining a private ecosystem of 10+ autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. The role involves designing multi-step reasoning architectures, verification protocols, and governance for agents, as well as developing MCP servers for data access. Requires strong Python, SQL, dbt, Airflow, Spark, Snowflake, and agentic framework expertise. | AgentData | 8 |
| Brand Campaign Operations Manager Salesforce is seeking a Marketing Strategy and Planning Manager to manage the Brand Campaigns and Partnerships budget and performance pacing. This role will also serve as the technical resource for internal AI tooling, designing, building, and iterating on AI agents and automated workflows to streamline operational tasks. The ideal candidate will have experience in marketing operations or business operations, with a strong focus on budget management and AI agent building, prompt engineering, and workflow automation. | Agent | 7 |
| AI Platform Engineer Salesforce is seeking a Lead AI Platform Engineer to build, maintain, and scale the core infrastructure and platform services for their ML initiatives. The role emphasizes using AI tools like Claude Code and autonomous agents to accelerate development workflows, infrastructure authoring, and CI/CD pipelines. Responsibilities include developing ML platform components, internal developer tools, and an AI tool marketplace, while ensuring security and compliance. | AgentServe | 7 |
| Lead Data Engineer | Senior Python & SQL Salesforce is seeking a Lead Data Engineer to build and manage data solutions for their Customer Success Data Platform, which supports AI and analytics initiatives. The role involves designing retrieval systems for AI agents, building infrastructure for causal modeling, developing customer identity graphs, modernizing data architecture for AI consumption, and ensuring data quality for real-time insights. The candidate will collaborate with cross-functional teams, lead automation efforts for data delivery pipelines, and integrate with AI orchestration layers. A strong AI-first approach to engineering, including using AI development tools and advanced prompt engineering, is required. | AgentData | 7 |
| Senior / Lead Software Developer | Data Engineer Expert This role focuses on building and managing data solutions for AI agents, including retrieval systems, inference infrastructure, and customer graphs. It involves modernizing data architecture for AI consumption, ensuring data quality for agents, and leading AI integration efforts. The role emphasizes using AI tools in development and designing systems where AI agents integrate into human workflows. | AgentData | 7 |
| Senior Software Engineer Senior Software Engineer role focused on the Customer Success Data Platform, involving full-stack development, AI integration, and orchestrating AI agents into human workflows. The role emphasizes using AI tools in the development process and critically evaluating AI-generated code. | Agent | 7 |
| Software Engineer DET| SSR Salesforce is seeking a Software Engineer to develop and configure Agentforce agents, focusing on building new features, leveraging Salesforce technologies, and ensuring customer support quality. The role involves prompt engineering, testing LLM-based agents, and contributing to an AI-first engineering approach. | Agent | 7 |
| Software Engineer - Keynote Demos Software Engineer for Salesforce's Keynote Demos team, focusing on creating innovative and visually engaging product demonstrations that incorporate AI agents and emerging technologies. The role involves prototyping future features, owning software architecture for demos, and building production-grade software with AI as a core part of the development workflow. | Agent | 7 |
| Senior Software Engineer - Python/SQL Senior Software Engineer role focused on designing, developing, and maintaining integrations and data connectors, with a strong emphasis on leveraging AI tools and agentic systems in the development workflow. The role involves building and orchestrating complex systems where AI agents integrate into human workflows, contributing to shared system context for AI reliability, and critically evaluating AI-generated code. Requires advanced prompt engineering skills and experience with AI development tools. | Agent | 7 |
| Senior Software Engineer– Salesforce Full Stack Developer Senior Software Engineer (SMTS) role focused on designing and developing scalable Salesforce applications, including architecting full stack solutions, API-led integrations, and building AI-powered agents with Agentforce. The role emphasizes leveraging modern AI tools and prompt engineering for development workflows. | Agent | 7 |
| Manager, AI Engineering Manager of AI Engineering at Salesforce, leading a team focused on building the agentic testing framework for the Agentforce Supply Chain product. The role involves people management, defining technical roadmaps, ensuring operational excellence including safety guardrails, and cross-functional leadership. Requires strong software architecture and distributed systems background, with experience in scaling AI/ML products and understanding the LLM lifecycle. | Agent | 7 |
| Enterprise Architect Agentforce & Data Cloud - Mexico Salesforce is seeking an Enterprise Architect for Agentforce & Data Cloud to lead strategic architecture engagements at the intersection of AI, enterprise platforms, and digital transformation. The role involves partnering with C-level executives at large enterprises to reimagine their businesses using AI on the Salesforce Platform, defining scalable architectural patterns, and championing the use of trusted AI. Key responsibilities include designing Agentforce architectures, defining AI governance frameworks, and supporting pre-sales engagements. The ideal candidate has 8+ years of enterprise architecture experience with a focus on cloud transformation and AI integration, deep expertise in Salesforce's AI offerings, and hands-on knowledge of AI/ML technologies. | Agent | 7 |
| Manager, Instructor-FY27-Q2 Manager for Instructors role at Salesforce, focusing on leading a team to deliver AI-powered customer success courses and workshops. The role involves managing instructors, driving adoption of Salesforce's AI platform, and tracking educational delivery metrics. | — | 5 |
| Salesforce Marketing Cloud & Loyalty Management Technical Architect Salesforce is seeking a Technical Architect for their Marketing Cloud & Loyalty Management division. This role involves designing, implementing, and evolving customer engagement and loyalty solutions using Salesforce products like Marketing Cloud, Loyalty Management, and Data Cloud. The architect will act as a trusted advisor, translate business needs into functional requirements, and support the implementation of marketing automation and loyalty programs. Continuous learning of Salesforce products and AI-driven customer engagement is expected. | — | 5 |
| Sr. Success Architect - Marketing Cloud This role is for a Sr. Success Architect focused on customer migration engagements for Salesforce Marketing Cloud. The primary responsibility is to lead complex migrations, acting as a technical and strategic orchestrator. A key aspect involves driving the adoption of AI agents and automation tools to accelerate discovery, mapping, and code conversion, and using natural-language commands for AI agents to retrieve data and generate reports. While AI tools are used extensively to improve delivery timelines and efficiency, the core deliverable is the successful migration of customer environments to modern cloud architectures, not the development or direct shipment of AI models themselves. | — | 5 |
| Senior Agent Manager, Agentforce & Data 360 This role manages the performance and capabilities of an AI-powered "Help Agent" that resolves customer support cases autonomously. The Senior Agent Manager will own resolution rate outcomes, develop improvement plans, identify new agent skills, and partner with Product and Engineering on roadmap priorities. The role also involves managing scorecards, driving content strategy, and delivering analytics to improve the agent's performance. | Agent | 5 |
| Partner Marketing Strategy & Operations Senior Analyst This role is for a Partner Marketing Strategy & Operations Senior Analyst at Salesforce, focusing on leveraging AI-augmented analytics to drive strategic decisions. The analyst will transform complex data into actionable insights, build dashboards, write SQL queries, and troubleshoot data issues. A key aspect of the role involves using and evaluating AI-assisted tools for analytics, including natural-language-to-SQL workflows and AI-assisted drafting for executive summaries. The role requires strong technical skills in data visualization (Tableau) and SQL, deep familiarity with Salesforce data architecture, and experience with AI-assisted analytics workflows. While the company is AI-focused, the role itself is not directly building AI models but rather using AI tools to enhance analytical processes for marketing and business outcomes. | — | 5 |
| Prime Named AE - MKT Cloud Salesforce is seeking a Digital Account Executive to drive the full sales cycle within a high-velocity, digital-first environment, leveraging AI-powered insights to engage prospects and customers and deliver transformative solutions. The role requires managing a high-volume pipeline, engaging primarily through digital channels, and collaborating cross-functionally to meet and exceed quota. | — | 5 |
| Solutions Product Manager, Agentforce for Financial Services This role focuses on designing and implementing automated business process solutions ('Blueprints') using Salesforce's platform capabilities, partnering with customer-facing teams and AI agents. It involves mapping requirements, identifying automation opportunities, building blueprints with current platform features, working directly with AI agents and prompting tools, testing, documenting, and providing feedback for product enhancements. The role is execution-focused on blueprint creation and process improvement, rather than traditional product feature development. | Agent | 5 |
| Salesforce Developer Salesforce Developer role focused on building next-generation solutions on the Salesforce platform, leveraging AI tools to enhance engineering productivity, code quality, and automate workflows across the SDLC. Requires strong Salesforce development experience with Apex, LWC, and a solid understanding of Salesforce architecture, with a preference for AI-assisted development tools or AI/ML concepts. | — | 5 |
| Software Engineering MTS This role focuses on developing internal technology solutions on the Salesforce platform, with a strong emphasis on integrating AI agents into human workflows and using AI tools within the development process. The candidate will design, develop, test, and enhance applications, collaborate with stakeholders, and critically evaluate AI-generated code. While AI is a core part of the workflow and agent integration is key, the primary deliverable is still within the Salesforce platform, suggesting an applied AI engineering role. | Agent | 5 |
| Salesforce Developer Junior (AMTS) Salesforce is seeking a Junior Salesforce Developer to build next-generation solutions on the Salesforce platform, leveraging AI to accelerate engineering, improve code quality, and enhance productivity. The role involves designing and developing scalable solutions, writing Apex and LWC code, and integrating AI tools into the software development lifecycle. The candidate will also contribute to building shared system context for AI agents and critically evaluate code. Requires 2+ years of Salesforce development experience with Apex, LWC, Aura, and Flows, and hands-on exposure to AI-assisted development tools or a strong understanding of AI/ML concepts. | — | 5 |
| Salesforce Full Stack Developer (MTS) Salesforce is seeking a Full Stack Developer (MTS) to design, develop, and maintain scalable Salesforce applications. The role involves building solutions using Apex, LWC, and integrating APIs. A key aspect is building and implementing intelligent agents using Salesforce Agentforce, orchestrating systems where AI agents integrate into human workflows, and critically evaluating AI-generated code. The role requires a genuine AI-first approach to engineering, using AI tools to accelerate development, and advanced prompt engineering skills. | Ship | 5 |
| PMM Director Product Marketer Director role at Salesforce focused on supporting a content and PMM team, ensuring quality and scale, building systems and AI-enabled processes for efficiency, and bringing the Agentic Enterprise narrative to life through events. The role involves managing workflows, coordinating event content, and improving team productivity. | — | 5 |
| Product Marketing, Messaging & Presentations Specialist This role focuses on product marketing, specifically messaging and presentation development, for the Salesforce on Salesforce team. The specialist will craft compelling narratives and visual materials for events, sales, and internal audiences, leveraging AI tools to enhance content creation, scale storytelling, and enable self-service of high-quality materials. The role involves refining story arcs, simplifying technical concepts, and ensuring content quality and consistency, with a strong emphasis on using AI to improve efficiency and tailor content for various audiences. | — | 5 |
| Integrated Producer Salesforce is seeking an Integrated Producer to lead post-production and social media content creation. This role involves managing production pipelines, integrating AI into workflows, and ensuring quality output at scale. The ideal candidate will have strong project management skills and experience in video and social content production. | — | 5 |
| Integrated Producer Salesforce is seeking an Integrated Producer for their Slack Creative team to manage programs and projects across brand systems, events, and web. This role involves strategic program management and hands-on creative production, driving work from kickoff to delivery. A key aspect is developing and implementing AI-forward project management workflows and tooling, identifying repeatable processes, and building AI-assisted solutions and generative workflows to accelerate output. | — | 5 |
| Art Director, Motion Design & Video Salesforce is seeking an Art Director, Motion Design & Video to lead creative vision for motion projects, animate Slack's interface, and drive projects through the entire lifecycle. The role involves integrating AI tools into the creative process to accelerate prototyping and explore new visual frontiers. The ideal candidate will have 5-7 years of experience, expert-level proficiency in design software, and an "AI-First" mindset. | — | 5 |
| LATAM Internship Program | Sales Intern [Mexico] Salesforce is seeking a Sales Intern for their LATAM Internship Program in Mexico City. The role focuses on driving growth in the Latin American market through business development, lead generation, and sales cycle understanding. Interns will manage partner leads, qualify inbound leads, conduct outbound prospecting, collaborate with sales teams, and perform account research. The program offers structured training, mentorship, and career advancement opportunities within Salesforce's AI CRM platform. | — | 5 |
| Fullstack Software Engineer - DET Fullstack Software Engineer to join a team focused on Force.com platform development and next-generation Agent technologies. The role involves building scalable, enterprise-grade solutions on the Salesforce platform, including agentic experiences powered by Agentforce, and integrating with external systems. Requires experience with Force.com platform, Apex, LWC, Salesforce Flows, Salesforce APIs, and building/integrating agentic AI systems. | Agent | 5 |
| Software Engineering Junior Salesforce is seeking a Junior Software Engineer to join their DET Engineering team. The role involves designing, building, testing, and maintaining scalable Salesforce Applications and Web Services, implementing DevOps and Quality Engineering practices, and ensuring security best practices. The engineer will collaborate across teams, provide technical documentation, and be responsible for all phases of the development lifecycle. A key aspect of the role is supporting AI-powered Salesforce use cases like Einstein GPT and Agentforce, and potentially using AI-assisted development tools. | — | 5 |
| Success Engineer Salesforce is seeking a Success Engineer to help customers adopt and leverage their AI CRM platform. This role involves technical onboarding, accelerating product adoption, providing mission-critical support for complex issues including AI/Agentforce implementations, and championing best practices. The ideal candidate will have a strong engineering background, experience with enterprise software, and the ability to translate business objectives into technical solutions. | — | 5 |
| Lead Employee Success People Consultant Salesforce is seeking an Employee Success People Consultant (ESPC) to join their LATAM team. This role will partner with HR business partners, leverage AI tools for data-driven insights in HR programs, and provide HR guidance to people managers. The ideal candidate will have an agentic mindset, strong analytical and project management skills, and experience with HR technology and AI-driven tools. | — | 5 |
| LATAM Internship Program - Solution Engineering Intern (México) Salesforce is seeking interns for their Solution Engineering program in LATAM. The internship involves two phases: developing technical skills in demo engineering and then sharpening selling and consulting skills. Interns will work on creating and implementing demo solutions, designing solutions on the Salesforce platform, and potentially participating in customer meetings. The role emphasizes learning about Salesforce solutions and preparing for a career in Solution Engineering. | — | 5 |
| Account Solution Engineer Salesforce is seeking an Account Solution Engineer to present product offerings and architecture in the best light to prospects and customers, aiming to evoke confidence in the company’s technology infrastructure and remove all technical objections in the sales cycle. The role involves understanding customer needs, building customized demos, and collaborating with sales and product teams. While the company heavily emphasizes AI and agentic capabilities, the core function of this role is pre-sales consulting and solution mapping, not direct AI/ML model development or deployment. | — | 5 |
| Solution Architect Salesforce is seeking a Solution Architect to join their Global Delivery Centre team in Mexico City. This role involves understanding customer business requirements, designing and configuring solutions using Salesforce products, and driving digital transformation. The Solution Architect will work closely with customers and internal teams to deliver strategic engagements, create prototypes, and document solutions. The role requires strong CRM experience, excellent communication and design skills, and expertise in systems analysis and design. | — | 5 |
| Customer Success Manager - Core/Data Cloud Salesforce is seeking a Customer Success Manager (CSM) to ensure high-value customers achieve significant return on investment with their AI CRM platform. The role involves acting as a trusted advisor, identifying and addressing technical and business concerns, driving adoption of Sales Cloud features, and managing customer relationships. The CSM will leverage AI literacy, basic prompt engineering, and AI-driven monitoring tools to enhance customer success and proactively manage risks. | — | 5 |
| Customer Success Manager - Tableau Salesforce is seeking a Customer Success Manager for Tableau in Mexico City. This role focuses on ensuring high-value customers achieve significant ROI with the platform by acting as a trusted advisor and extension of the customer's workforce. Responsibilities include managing customer relationships, driving adoption of Tableau features, providing strategic guidance, and addressing technical concerns. The role requires AI literacy for using AI agents in tasks like meeting summaries and data retrieval, basic prompt engineering, and monitoring AI-driven customer sentiment. | — | 5 |
| Customer Success Manager Salesforce is seeking a Customer Success Manager for their largest Core and Marketing Cloud customers. The role involves acting as a trusted advisor, understanding customer business goals, and ensuring they maximize value from their Salesforce investment. This includes managing relationships, providing guidance on platform features, adoption of new releases, and acting as a point of contact for major incidents. The CSM will also advocate for customers during issue resolution and coordinate deliverables for Signature Success. | — | 5 |
| Senior Success Architect Salesforce is seeking a Senior Success Architect to join their Cloud Success team. This role focuses on providing expert guidance to strategic customers on optimizing and demonstrating Salesforce technology, particularly within the AI CRM context. The architect will assess implementations, recommend solutions for scalability, security, and reliability, and identify risks. They will collaborate with internal teams and product organizations to drive customer success and product improvements, acting as a trusted advisor in business and technology discussions. | — | 5 |
| Quality Engineering MTS This Quality Engineering role at Salesforce focuses on ensuring platform quality for AI CRM solutions, particularly in back-office and operational processes within financial services. The role involves developing QA protocols, collaborating with development teams, analyzing feedback, and identifying opportunities to use AI tools to improve efficiency and quality. While the company is AI-focused and uses AI tools, the core craft of this specific role is quality engineering and process improvement, not direct AI/ML model development. | — | 2 |
| Employee Success Operations Specialist Salesforce is seeking an Employee Success Operations Specialist to join their LATAM ES Ops team. This role will support global transformation by driving process excellence, compliance, and continuous improvement, leveraging Salesforce technology, AI, automation, and RPA. The specialist will handle complex ES Operations processes, manage special projects across the employee lifecycle, provide employee support, and act as a subject matter expert on policies and regulations. A strong track record in implementing or assessing technologies like AI, RPA, or chatbots in HR/operations is highly desirable. | — | 1 |
| Lead Account Solution Engineer - Informatica Salesforce is seeking a Lead Account Solution Engineer with experience in Pre-Sales/Technical sales or Consulting in Data Management (Data Integration, Data Quality, MDM, or Data Governance). The role involves collaborating with internal teams, customers, and partners to develop technical account plans and lead sales engagements. The candidate will educate customers on the Informatica Data Management Cloud value proposition, engage in architectural discussions, and ensure optimized cloud deployments. Responsibilities include contributing to pipeline generation through workshops, social media, content creation, and marketing events, as well as providing feedback to product management and supporting customer success activities. | — | 1 |
| Team Lead, ES People Services This role is for a Team Lead in Salesforce's Employee Success (HR) department, focusing on providing guidance and support to employees using Salesforce technology. The role involves training and developing a team, analyzing and improving knowledge bases, resolving escalated cases, and leading projects to enhance HR services. It requires strong organizational, time management, and communication skills, with a focus on continuous improvement and a positive employee experience. While the company heavily emphasizes AI in its products and operations, this specific role is within HR and does not involve building or directly working with AI/ML models. | — | 0 |