Enterprise · CRM
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 |
|---|---|---|
| Mid Level/Senior Backend Software Engineer Backend Software Engineer role at Salesforce focused on building and shipping production-grade software with AI as a core part of the development workflow. The role involves designing 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 strong software engineering fundamentals, experience with SaaS cloud infrastructure, distributed systems, and advanced prompt engineering skills. | Agent | 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 |
| AI Engineer(Backend)- LMTS/SMTS/MTS AI Engineer role focused on building and optimizing AI applications and agentic systems for enterprise use cases within the Salesforce ecosystem. The role involves designing, fine-tuning, and integrating LLMs and AI frameworks like Langchain into critical workflows, with a strong emphasis on backend engineering and production-grade software development. | 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 |
| Director of Product Management - Content Management Platform Salesforce is looking for a Director of Product Management to lead the evolution of their Content Management Platform and the delivery of an AI Content Operations Agent. This role involves defining and executing product strategy for an internal AI Agent that evaluates content quality, ownership, performance, SEO health, and brand compliance, aiming to replace manual audits with automated workflows. The role also involves guiding the development of a headless WordPress platform and ensuring integrations with Salesforce and other enterprise systems. | Agent | 7 |
| Senior Financial Analyst (AI & Process Transformation) Salesforce is seeking a Senior Financial Analyst to drive AI and process transformation within their finance department. This role involves developing and implementing AI-driven automated workflows for core financial processes, partnering with stakeholders, and leveraging agentic workflows and AI tools to enhance compliance and operational efficiency. The ideal candidate will have experience with AI, RPA, agent development kits, and coding languages like SQL and Python. | Agent | 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 |
| 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 |
| Principal Data and AI Architect This role is for a Principal Data and AI Architect at Salesforce, focusing on designing and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. The role involves guiding customers through AI solutions, collaborating with sales and product teams, and building prototypes. Key responsibilities include leading pre-sales technical design, shaping best practices for generative AI and agent interoperability, developing thought leadership content, and acting as a technical knowledge resource. The role requires deep expertise in modern cloud data platforms, programming languages, and AI/ML concepts, with a focus on integrating external agents and managing the agent lifecycle. | 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 |
| Principal AI Architect Principal AI Architect at Salesforce, focusing on designing and operationalizing enterprise-grade data and AI architectures centered on the Agentforce platform and D360. The role involves leading pre-sales technical design, shaping best practices for generative AI and agent interoperability, building prototypes, and acting as a technical advisor to customers. It requires deep expertise in modern cloud data platforms, programming, and machine learning concepts, with a focus on integrating Salesforce with external agent frameworks. | Agent | 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 |
| Software Engineer II, Machine Learning (Search) - Slack Salesforce is seeking a Machine Learning Engineer for their Slack division to develop and implement ML models for ranking, retrieval, and generative AI use cases. The role involves building data pipelines, fine-tuning LLMs, and deploying ML artifacts at scale to enhance Slack's product for millions of daily active users. This is a practical, impact-driven role focused on delivering business value with ML. | AgentServe | 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 |
| 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 |
| 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 |
| Agentforce & Data 360 Solution Engineer - Philippines Market Salesforce is seeking a Solution Engineer for their Agentforce & Data 360 solutions in the Philippines. The role involves supporting the sales cycle by explaining technical architecture, data strategy, and AI capabilities of Data Cloud and Agentforce. A critical part of the role is designing, building, and presenting hands-on Proof of Concepts (POCs) and hackathons to demonstrate the power of AI-driven, unified data to customers. The role requires expertise in AI/Machine Learning architecture, data unification, large-scale data architecture, data modeling, solution performance, and system integration patterns, advising C-level contacts on leveraging unified customer data and generative AI. | Agent | 7 |
| Principal Solution Engineer - AI and Data Cloud This role is for a Principal Solution Engineer focused on AI and Data Cloud at Salesforce. The primary responsibility is to act as a senior technical leader and trusted advisor to customers, designing and operationalizing enterprise-grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. The role involves pre-sales technical design, shaping best practices for generative AI and agent interoperability, building prototypes, developing thought leadership content, and advising on data integration and architecture decisions. It requires deep expertise in Salesforce, external agent ecosystems, prompt engineering, and modern cloud data platforms. | Agent | 7 |
| Principal Software Engineer / PMTS - Fullstack Salesforce's Einstein Bots & Agentforce team is seeking a Principal Software Engineer to design, build, and own end-to-end features for their AI-powered customer service platform. This role involves evolving conversational AI systems, enhancing NLU and LLM reasoning engines, and building tooling for intelligent agents. The engineer will focus on robust, low-latency systems, service health, and mentoring junior engineers, contributing to a large-scale enterprise solution impacting millions of users. | AgentServe | 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 |
| 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 |
| Agentic Data Specialist (Multiple Levels) Salesforce is seeking an Agentic Data Specialist to join their Forward Deployed Engineering Team. This role focuses on designing, building, and managing the data and integrations that enable AI agents to take autonomous actions across business systems. Responsibilities include managing data flow, architecting AI grounding systems (RAG, vector databases), orchestrating multi-agent systems, defining LLM strategy, ensuring data governance, building scalable systems, API development, enabling workflow automation, and troubleshooting integrations. Requires 5+ years of experience in data engineering/integrations, proficiency in programming languages, expertise in AI data integration (RAG, vector databases), deep understanding of data management within Salesforce, knowledge of LLM landscape, API development, and familiarity with distributed systems. | Agent | 7 |
| Lead Data & AI Architect, Pre-Sales Salesforce is seeking a Lead Data & AI Architect for their pre-sales team in ANZ. This role focuses on designing and validating complex, end-to-end agentic architectures that integrate predictive, generative, and agentic AI. The architect will act as a trusted advisor to executives, lead Proof of Concepts, and own the technical design of Data Cloud as a foundational layer for AI, integrating with various enterprise data systems. The role requires strong technical depth in enterprise data management, AI/LLM principles, coding proficiency, and cloud infrastructure, with a focus on translating complex AI workflows into business outcomes. | AgentData | 7 |
| Principal Data and AI Architect This role is for a Principal Data and AI Architect at Salesforce, focusing on designing and operationalizing enterprise-grade data and AI architectures, specifically around the Agentforce platform and D360. The role involves leading pre-sales technical design, shaping best practices for generative AI and agent interoperability, building prototypes, and acting as a technical advisor to customers and internal teams. It requires expertise in AI/ML concepts, modern cloud data platforms, and integrating external AI agents. | Agent | 7 |
| Principal, Enterprise Architect Salesforce is seeking a Principal Enterprise Architect to lead strategic architecture engagements at the intersection of AI, enterprise platforms, and digital transformation for their marquee customers. The role involves partnering with C-level executives to reimagine businesses through AI-powered innovation on the Salesforce Platform, defining scalable architectural patterns, and championing the use of trusted AI to transform workflows and personalize experiences. The position also focuses on building a global community of architects and influencing the platform roadmap. | 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 |
| Principal Data and AI Architect Salesforce is seeking a Principal AI + Data Architect to design, validate, and operationalize enterprise-grade data and AI architectures centered on their D360 and Agentforce platforms. This role involves leading pre-sales technical design, shaping best practices for generative AI and agent interoperability, building prototypes, and advising customers on integrating external AI agents and data solutions. The position requires deep expertise in Salesforce technologies, modern cloud data platforms, and hands-on experience with AI/ML concepts, prompt engineering, and agent lifecycle management. | Agent | 7 |
| Missionforce - Associate Forward Deployed Engineer (FDE), Public Sector Associate Forward Deployed Engineer (FDE) for Salesforce's Public Sector team, focusing on deploying AI and transformative solutions for U.S. Department of Defense, Intelligence Community, and Aerospace clients. This role involves hands-on implementation, building AI agents, automating workflows, direct customer collaboration, and contributing to platform roadmap development, particularly within classified environments. | Agent | 7 |
| Principal Data and AI Architect This role is for a Principal Data and AI Architect at Salesforce, focusing on designing and operationalizing enterprise-grade data and AI architectures, specifically around the Agentforce platform and its integration with external AI agents. The role involves pre-sales technical design, shaping best practices for generative AI and agent interoperability, building prototypes, and acting as a technical advisor to customers. It requires expertise in AI/ML concepts, prompt engineering, agent lifecycle management, and integrating various data and AI components within a customer's ecosystem. | Agent | 7 |