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, Data Management Tooling Director of Software Engineering to lead Trust & Discovery, a platform team responsible for the discovery, catalog, and governance of trusted data at Salesforce. The role involves leading a team that ships using AI as an operating model, building intelligent systems for governed data accessibility by humans and AI agents, and engaging executive stakeholders on multi-year platform strategy. | AgentData | 7 |
| Lead Product Designer, Agentforce Lead/Principal UX Designer for Agentforce, a complete AI system enabling enterprises to build and deploy autonomous AI agents. The role focuses on shaping the behavioral architecture for how Employee Agents interact, communicate, hand off work, use memory, and coordinate. This involves defining interaction patterns, prototyping, and ensuring agent behaviors scale across the Salesforce platform. |
| Agent |
| 7 |
| Director, Agentic Employee Relations Data & Systems Salesforce is seeking a Director to lead the Agentic Employee Relations Data & Systems initiative. This role will architect the evolution of the Employee Relations function into a data-centric powerhouse, leveraging autonomous agents to analyze ER data, identify trends, and develop predictive models for workplace issues. The Director will own the HR Acuity platform, partner with data engineering, and deliver executive-level insights to inform human capital strategy. | Agent | 7 |
| Lead Engineer - AI Trust & Governance Salesforce is seeking a Lead Engineer to build an AI Governance platform from the ground up. This role involves full-stack development, AWS cloud infrastructure, ML/AI platform services, CI/CD, and defining platform architecture. The engineer will focus on monitoring, observability, and building generative AI capabilities, including LLM features and agent-based functionality, ensuring safe, trusted, and scalable AI deployment across the enterprise. Experience with AI governance, risk, trust, and compliance is preferred. | AgentEval Gate | 7 |
| Sr. Product Manager, Customer Health Platform Salesforce is seeking a Sr. Product Manager for their Customer Health Platform. This role will own the product strategy, roadmap, and delivery for a new product category focused on providing a unified view of customer security posture, technical health, and customization complexity across multiple Salesforce orgs. The role involves working closely with engineering, AI research, design, and cross-functional teams to translate customer needs into actionable product requirements and deliver AI-driven solutions. The ideal candidate will have deep technical fluency in AI/ML, experience managing AI model strategy, and a quality-first mindset with experience in evaluation frameworks for AI/ML outputs. This is a founding PM role for a net-new product category within the Agentforce AI initiative. | Agent | 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 |
| Director, Product Management - Agentforce Contact Center Digital Director of Product Management for Salesforce's Agentforce Contact Center Digital portfolio, focusing on AI agent-first platforms that unify customer engagement across digital channels. The role involves defining product vision, owning the roadmap for platform and services layers, driving cross-cloud alignment, and representing the portfolio externally. Requires deep expertise in enterprise contact centers, agentic AI, and SaaS product management. | Agent | 7 |
| Senior Director, Product Management - Enterprise Data & Knowledge Platforms Senior Director of Product Management to lead the enterprise data-to-activation platform and drive the Next Gen Account Hierarchy (NGAH) initiative. This role will also manage the enterprise Knowledge Graph platform, which is crucial for AI reasoning and go-to-market intelligence. The position is at the intersection of data, AI, Agents, and GTM transformation, shaping future Agentforce-powered experiences. | AgentData | 7 |
| Principal Decision Scientist Salesforce is seeking a Principal Decision Scientist to develop and scale methodologies for evaluating agentic workflows and AI systems, build models for attribution problems, lead complex experimental designs, and translate statistical findings for executive leadership. The role requires a Master's or PhD in a quantitative field, 10+ years of experience deploying causal models or experimental frameworks in production, proficiency in Python/R and SQL, and familiarity with LLM evaluation metrics and statistical challenges of non-deterministic AI outputs. | Eval GateAgent | 7 |
| Software Engineering LMTS Salesforce is seeking a Lead Member of Technical Staff (LMTS) Software Engineer to build the next generation of intelligent product configuration experiences. The role involves architecting and implementing agentic AI capabilities, including AI-assisted constraint modeling, intelligent product recommendations, and LLM-powered guidance, embedded within the Configurator experience. The engineer will also lead architecture, design, and delivery of the Product Configurator UI and backend services, champion engineering productivity, and collaborate with cross-functional teams. | Agent | 7 |
| Senior / Lead Software Engineer, Full Stack (Product) Salesforce is seeking a Senior / Lead Full Stack Software Engineer to build AI-powered experiences using LLMs and embeddings. The role involves shipping end-to-end product features, partnering with product and design, and ensuring AI features are observable, testable, and maintainable. The ideal candidate has experience applying AI/ML in products and a strong understanding of full-stack development. | Agent | 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, Product Management Agent Fabric Adoption (MuleSoft) Director of Product Management for Salesforce's MuleSoft Agent Fabric, focusing on accelerating customer adoption of AI agents and orchestration platforms within enterprise environments. This role requires deep customer and field engagement to drive product investment and strategy. | Agent | 7 |
| Senior Manager, Product Management Senior Manager, Product Management at Salesforce, focusing on developing and iterating on AI-driven offerings that accelerate customer success with Salesforce products. The role involves translating high-level business goals into concrete service offerings, working with cross-functional teams, and identifying opportunities to integrate AI agents for increased speed and scale. | Ship | 7 |
| Sr. Enterprise Architect, Agentforce Supply Chain This role focuses on integrating Salesforce's Agentforce platform with enterprise systems (ERP, PLM, CRM) for supply chain and manufacturing transformations. The Senior Enterprise Architect will design and build end-to-end integration strategies, architect API-led connectivity, design agentic data pipelines, and set AI integration roadmaps for customers. The role emphasizes shipping production integration solutions and working closely with customers to solve real-world problems at scale. | Agent | 7 |
| VP, Agentic Strategy Salesforce is seeking a VP, Agentic Strategy to shape the long-term strategic direction of their agentic AI portfolio. This role involves market intelligence, corporate development, and go-to-market strategy, focusing on defining Salesforce's competitive position in the autonomous AI space. The VP will act as a strategic integrator, partnering with various business units to drive high-impact pivots across Sales, Product, and Engineering, and will lead market evaluations for M&A opportunities within the agentic AI ecosystem. | Agent | 7 |
| Software Engineering SMTS Backend Software Engineer role focused on building and scaling platform services for LLM technology within Salesforce's Einstein platform, supporting Agentforce and AI apps. The role involves developing production-ready code, making design decisions for performance and scalability, and working with various LLM technologies in a microservice SaaS environment. | ServeAgent | 7 |
| Account Solution Engineer - Intelligence Community (All Levels) Salesforce is seeking a senior Solution Engineer for their National Security subsidiary (SNS) to support U.S. Intelligence Community (IC) customers. The role involves acting as a technical advisor, designing and building secure, agentic solutions within classified environments, and architecting Agentforce-based solutions. This position requires hands-on experience with AI/ML concepts like LLMs, RAG, and agentic engineering, along with a current TS/SCI clearance. | Agent | 7 |
| Software Engineering Architect Salesforce is seeking a Software Engineering Architect to design high-scale, agentic systems for their Spiff (Incentive Compensation Management) platform. The role involves defining architectural initiatives for the core Commission Engine, calculation frameworks, database, infrastructure, performance optimization, and Data Cloud connectivity. Key responsibilities include architecting AI-native application services, designing agentic systems with vector database scaling and token-efficient caching, leveraging AI tools like Claude Code or Codex, orchestrating AI 'pair-architect' workflows, and implementing governance, observability, and safety guardrails. The role also involves integrating with the Salesforce Agentic Framework using RAG and Vector Databases, and owning the data architecture. | AgentServe | 7 |
| AI Solution Orchestrator Salesforce is seeking an AI Solutions Orchestrator with 8+ years of technical experience, including 2 years in complex Agentic AI Salesforce implementations. The role involves designing and building AI solutions using personal and autonomous agents to drive productivity for Account Success teams. Responsibilities include rapid POC cycling, AI solution development from concept to production, prompt engineering with a focus on context and business data, and understanding LLM limitations. A deep mastery of the Salesforce platform and AI tooling is required. | Agent | 7 |
| AgentExchange Product Management Director Director of Product Management to lead a new Partner Security, Governance, and Guardrails Platform. This role will define and execute the strategy for services and tools that ensure partner-deployed AI agents remain secure, safe, compliant, and predictable. The focus is on empowering ISVs with tools for enterprise-grade trust, operational control, and safety at scale, including features like agent kill switches and dynamic action constraints. | Agent | 7 |
| Product Security Lead Lead Penetration Testing Engineer for Salesforce's Security organization, focusing on offensive security and engineering partnership. The role involves executing deep penetration tests across applications, platforms, cloud infrastructure, and enterprise environments, with a specific emphasis on AI-powered features and systems, including LLM-backed applications and Agentic AI. Responsibilities include manual exploitation, prompt injection testing, and partnering with engineering teams to influence security design and guardrails. | Agent | 7 |
| Product Security Senior Penetration Tester This role focuses on offensive security for AI systems, leading adversarial testing, developing security frameworks and tooling, and partnering with AI teams to mitigate risks. It involves testing AI/ML systems, understanding LLM vulnerabilities, and building automated testing frameworks. | Eval GateAgent | 7 |
| DevOps Engineer, GovCloud Mid/Senior Salesforce is seeking an experienced DevOps Engineer for their Government Cloud infrastructure. The role involves ensuring maximum availability, performance, and security through proactive enhancements and troubleshooting. A key aspect is advanced prompt engineering to make AI outputs reliable and production-ready. The engineer will lead projects in design, development, and support of the platform, collaborate on CI/CD pipelines, and build high-quality software using AI as a core part of the development workflow. Responsibilities include designing and orchestrating systems where AI agents integrate into human workflows, contributing to shared system context for AI reliability, and evaluating AI-generated code. The role requires expertise in AWS, Kubernetes, Terraform, Linux systems, security, CI orchestration, scripting languages, and log management, with a strong emphasis on an AI-first approach to engineering and advanced prompt engineering skills. | Agent | 7 |
| Lead Full Stack Engineer, Marketing Cloud Salesforce is seeking a Lead Full Stack Engineer for their Marketing Cloud team. This role involves designing and developing high-quality code for platform reliability, APIs, and new features. A key aspect is integrating AI agents into human workflows, using AI tools in the development process, and contributing to shared system context for AI operations. The engineer will also evaluate AI-generated code and handle large datasets. Requires 8+ years of Java experience, knowledge of web services and distributed systems, and a genuine AI-first approach to engineering. | Agent | 7 |
| Threat Intelligence Automation Developer (Orchestration) Salesforce is seeking a Threat Intelligence Automation Developer to engineer and optimize automated pipelines for processing adversary data and generating insights. The role involves architecting frameworks for Threat Intelligence (TI), Security Operations Center (SOC), and Incident Response (IR) practitioners, automating detection, and streamlining intelligence delivery. Key responsibilities include engineering programmatic solutions within TI and SOAR ecosystems, collaborating with Threat Researchers to automate detection frameworks, evaluating data streams, optimizing the intelligence production cycle, and designing systems where AI agents integrate into human workflows. The role also requires building and maintaining shared system context for AI reliability and contributing to security engineering workflows. | Agent | 7 |
| Lead Software Engineer, Employee Success & Finance Platform Lead Software Engineer for Salesforce's Employee Success & Finance Platform, focusing on integration architecture, data integrity, observability, and building systems for agentic AI to safely navigate sensitive HR and Finance data. Requires strong platform engineering skills, experience with high-stakes data, and knowledge of compliance. | AgentData | 7 |
| Forward Deployed Engineering Lead - Data Science & Integration Salesforce is seeking a Forward Deployed Engineer Lead for their Public Sector team, focusing on integrating AI/ML systems and data science pipelines for U.S. Department of Defense and Intelligence Community customers. The role involves hands-on implementation of bespoke solutions, including ML pipelines, intelligent automation, and enterprise integration using platforms like MuleSoft and Regrello. The candidate will act as a strategic partner, translating operational challenges into technical solutions and driving end-to-end delivery in regulated environments. | AgentData | 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 |
| Production Support Engineering LMTS Salesforce is seeking a Production Support Engineer (LMTS) to join their embedded reliability team for the Agentforce for Supply Chain platform. This role focuses on production excellence, performance tuning, and infrastructure automation to scale the platform for global demand and enterprise-grade resilience. The engineer will partner with PMTS-level engineers, contribute to infrastructure strategy, maintain automated environments, support AI/ML infrastructure, harden the observability stack, optimize performance, and leverage AI tools for operational tasks. The role requires strong experience in SRE/Production Engineering, Kubernetes, Terraform, cloud platforms, and coding in Golang, TypeScript, or Python, with a deep understanding of distributed systems and AI agents. Advanced prompt engineering skills and an AI-first approach to engineering are essential. | ServeAgent | 7 |
| Principal Agentic Data Systems Engineer This role focuses on architecting and managing a private ecosystem of autonomous AI agents for data engineering tasks (ETL, synthetic data generation, QA, predictive modeling). The engineer will design multi-step reasoning architectures, verification protocols, and integration with data sources, acting as a human-in-the-loop orchestrator for a digital workforce. | Agent | 7 |
| Lead Agentic Data Systems Engineer Lead Agentic Data Systems Engineer responsible for architecting, building, and maintaining a private ecosystem of autonomous agents for ETL, synthetic data generation, automated QA, and predictive modeling. Focuses on designing multi-step reasoning architectures and verification protocols for agent self-validation, and developing systems for agents to access data. Requires strong Python, dbt, Airflow, SQL, Spark, Snowflake, and agentic framework (LangGraph) expertise. | Agent | 7 |
| Missionforce - Senior/Lead Forward Deployed Engineer (FDE), Public Sector Senior/Lead Forward Deployed Engineer on the Public Sector team, embedded with U.S. Department of Defense, Intelligence Community, and Aerospace clients to design and deploy bespoke AI solutions. This role involves architecting a planet-scale platform, engineering distributed systems, developing Infrastructure-as-Code, microservices, and data pipelines, and building production-grade software with AI as a core part of the development workflow. The engineer will design and orchestrate complex systems where AI agents integrate into human workflows, contribute to shared system context for AI reliability, and critically evaluate code (human or AI-generated). | Agent | 7 |
| Architect Marketing Agent Engineer Salesforce is seeking an Architect Marketing Agent Engineer to build and deploy AI agents within the Marketing function. This hands-on technical role involves identifying high-value workflows, designing and building agents to automate them, connecting them to existing enterprise tools, and measuring their impact. The ideal candidate has strong software engineering experience, experience with AI-assisted workflows, and can collaborate effectively with business teams. | Agent | 7 |
| Senior/Lead/Principal Software Engineer, Agentforce for Supply Chain Salesforce is seeking experienced engineers for their Agentforce for Supply Chain platform, focusing on building and scaling AI-powered systems that automate supply chain processes. The role involves architecting complex backend systems, integrating with Salesforce ecosystem products, and ensuring AI agents operate accurately and reliably within human workflows. | Agent | 7 |
| Performance Engineer SMTS Salesforce is seeking a Performance Engineer to drive performance and scalability initiatives for their AI CRM platform, focusing on optimizing applications and databases to handle billions of transactions and growing data volumes. The role involves deep dives into application/database internals, performance profiling, and optimizing critical data processing systems. A key aspect is integrating AI agents into human workflows and ensuring the reliability of AI-generated code and system context, requiring familiarity with generative AI, agentic frameworks, and advanced prompt engineering. | ServeAgent | 7 |
| Principal Software Engineer, Data Platform Principal Software Engineer for Salesforce's Enterprise Data Platform, focusing on architecting and scaling the data ecosystem, integrating structured data into knowledge graphs, and powering BI, Advanced Analytics, and Generative AI. The role involves designing integration patterns for AI-assisted tooling, orchestrating AI agent systems, and contributing to shared system context for AI reliability. Key responsibilities include technical strategy, platform architecture, performance engineering, AI enablement, knowledge graph and semantic engineering (Graph RAG, semantic layer), and setting engineering standards. Requires deep backend distributed systems/data infrastructure experience, expertise in data platforms (Snowflake, dbt, Airflow), graph databases (Neo4j), cloud-native technologies, and AI/LLM integration (RAG, vector databases). | AgentData | 7 |
| Lead Data Engineer, AI Salesforce is seeking a Lead Data Engineer to build and scale the data infrastructure for their AI agents, focusing on retrieval systems and grounding agents in accurate, real-time data. The role involves architecting the semantic layer, embedding pipelines, and ensuring data quality for agentic AI. | AgentData | 7 |
| Full Stack Principal Software Engineer - Event Technology Salesforce is seeking a Principal Full Stack Software Engineer for their Event Technology team. This role focuses on architecting and leading the technical vision for event platforms and public websites, with a strong emphasis on integrating AI agents into human workflows and leveraging AI tools for development. The engineer will be responsible for the full software development lifecycle, including design, implementation, testing, deployment, and operations, while mentoring other engineers and ensuring scalability, performance, and observability. | Agent | 7 |
| Principal Backend Engineer, Agentforce for Supply Chain Principal Backend Engineer for Salesforce's Agentforce for Supply Chain, focusing on the Super Agent backend. This role involves diagnosing and solving complex architectural problems, improving system quality, and designing/orchestrating AI agent integrations into supply chain workflows. The goal is to build a '0 to 1' product at scale, leveraging Salesforce's infrastructure. | Agent | 7 |
| Lead Decision Scientist Salesforce is seeking a Lead Decision Scientist to build evaluation frameworks for AI systems, focusing on agentic workflows and LLM-as-a-judge metrics. The role involves designing and analyzing experiments, setting statistical standards, and influencing strategy through data-driven storytelling. This senior individual contributor role requires expertise in causal inference and production deployment of models, with a focus on AI reliability and impact in an enterprise AI CRM context. | Eval GateAgent | 7 |
| Employee Success Lead Data Engineer Salesforce is seeking a Lead Data Engineer to build data pipelines, metrics, analytics solutions, and Agentic AI solutions. The role involves designing and optimizing data pipelines for analytics, AI models, and generative AI applications, architecting APIs for data exchange, leveraging AI/ML for data processing and automation, and implementing LLMs and generative AI solutions. Responsibilities include technical leadership in Salesforce technologies, data governance, cloud optimization, and collaborating with data scientists to deploy scalable models. | AgentData | 7 |
| Employee Success Lead Data Engineer Salesforce is seeking a Lead Data Engineer to build data pipelines, metrics, analytics solutions, and Agentic AI solutions. The role involves designing and optimizing data pipelines for analytics, AI models, and generative AI applications, architecting APIs for data exchange, leveraging AI/ML for data processing and automation, and implementing LLMs and generative AI solutions. Responsibilities include technical leadership in Salesforce technologies, data governance, cloud optimization, and collaborating with data scientists to deploy scalable models. | AgentData | 7 |
| Missionforce - Director/Sr. Director of Product Management – Edge AI Product leader for Salesforce Missionforce, focusing on enabling the US Department of Defense and Public Sector to deploy AI/ML to the edge. The role involves defining strategy and roadmap for AI and Automated Data Curation, building a platform for ingesting, labeling, and fine-tuning massive unstructured datasets (imagery, signals, sensor data) for specialized models, and ensuring secure cloud operations and operational resilience in disconnected or high-security environments. Requires experience in ML Infrastructure, Data Labeling, or Edge Computing within regulated, high-stakes environments. | DataPost-train | 7 |
| AI Enterprise Architect, Senior Director Senior Director, AI Enterprise Architect for Salesforce's Agentforce, focusing on leading strategic architecture engagements with marquee customers at the intersection of AI, enterprise platforms, and digital transformation. The role involves defining architectural vision, driving modernization, championing trusted AI, building a global community of architects, and influencing product roadmaps. Key responsibilities include designing and governing Agentforce architectures, defining AI governance frameworks, and supporting pre-sales engagements. | Agent | 7 |
| Product Manager Product Manager to lead key capabilities behind AI agents and enterprise search built on Salesforce Data 360. This role is ideal for a technical, builder-oriented PM who enjoys rapidly prototyping ideas, experimenting with AI systems, and vibe coding solutions to validate product concepts before they are built at scale. Will own a significant product area of these AI agents and work across engineering, design, AI research teams. | Agent | 7 |
| Product Forward Deployed Engineer, ITSM (Senior/Lead/Principal) Salesforce is seeking a Product Forward Deployed Engineer (FDE) to join their ITSM team. This role focuses on the zero-to-one innovation of new agentic products, working directly with strategic customers to validate AI capabilities, harden the platform, and shape the product roadmap. The FDE will research, field validate, and accelerate product development by building reusable assets and providing feedback to product and engineering teams. The role requires expertise in enterprise ITSM, AI/LLM solutions (agentic frameworks, prompt engineering, RAG), programming languages, and data architecture. | Agent | 7 |
| Principal Product Manager - Agentforce Demos Salesforce is seeking a Principal Product Manager for their Agentforce Demos team. This role involves developing and supporting scalable Agentforce assets within demonstration environments for Solutions Engineers. The Product Manager will lead roadmap development, architect and implement new Agentforce features, manage the backlog, and create documentation and training materials. The role requires extensive experience with Salesforce environments and AI-driven technologies like Agentforce, along with strong technical aptitude in system integration and data modeling. | Agent | 7 |
| Sr. Enterprise Architect, Agentforce Supply Chain Salesforce is seeking a Sr. Enterprise Architect to own end-to-end integration strategy and delivery for complex Supply Chain and Manufacturing transformations, focusing on connecting Agentforce with core enterprise systems. The role involves designing and building enterprise-grade integration solutions, taking them to production, and shaping the Agentforce platform. | Agent | 7 |
| Lead Product Designer, Agentforce Platform Salesforce is seeking a Lead/Principal UX Designer for their Agentforce Platform, focusing on shaping the behavioral architecture for how autonomous AI agents interact within the Salesforce ecosystem. The role involves defining patterns for agent communication, task handoff, memory, and coordination, with a strong emphasis on prototyping and designing for scale and coherence across the platform. The designer will collaborate with cross-functional teams to establish industry-defining experiences for enterprise workforces interacting with AI agents. | Agent | 7 |