220 Marketing Cloud Jobs - Page 4

We are seeking a motivated and experienced Salesforce Team Lead with a strong background in Sales Cloud, Service Cloud, and Lightning Web Components (LWC). The ideal candidate will have 4-7 years of experience in Salesforce development and implementation, with a passion for leading and mentoring a team of Salesforce professionals. As a Team Lead, you will be responsible for overseeing the delivery of high-quality Salesforce solutions, guiding a team of developers, and working closely with cross-functional teams to ensure the successful execution of business requirements. Key Responsibilities: Lead and manage a team of Salesforce developers and administrators, ensuring they deliver quality solutions in a timely manner. Design, develop, and implement Salesforce solutions using Sales Cloud, Service Cloud, and Lightning Web Components (LWC) to address business needs and requirements. Collaborate with business stakeholders to understand requirements and translate them into effective Salesforce solutions. Oversee the development and customization of Salesforce applications, ensuring best practices are followed for design, coding, and deployment. Provide technical leadership and guidance to the team, mentoring junior developers and ensuring continuous learning and growth. Ensure the team adheres to Salesforce development standards and provides high-quality, maintainable code. Lead the planning, design, and implementation of integration strategies between Salesforce and third-party systems. Optimize Salesforce applications for performance, scalability, and user experience. Conduct regular code reviews, testing, and troubleshooting to ensure the delivery of high-quality solutions. Participate in sprint planning, provide progress updates, and manage priorities to meet project deadlines. Coordinate with cross-functional teams (Product, Operations, Business, etc.) to ensure smooth and effective project delivery. Stay up-to-date with Salesforce product innovations, best practices, and emerging technologies, bringing new ideas to the team. Required Skills & Experience: 4-7 years of experience with Salesforce development, particularly Sales Cloud, Service Cloud, and Lightning Web Components (LWC). Strong expertise in Salesforce platform features, including configuration, customization, and automation tools (Flows, Workflows, Process Builder). Proven experience in building and deploying Lightning Web Components (LWC) and leveraging them to enhance user experiences. In-depth knowledge of Apex, Visualforce, SOQL, and Salesforce data model. Experience with Salesforce integrations, including web services (REST/SOAP APIs) and third-party systems. Solid understanding of Salesforce security and sharing models, including profiles, permission sets, and roles. Demonstrated experience with agile development practices and leading teams in a fast-paced environment. Strong problem-solving skills, with the ability to troubleshoot and resolve complex issues in Salesforce. Excellent communication skills with the ability to engage with both technical and non-technical stakeholders. Desired Skills: Salesforce certifications such as Platform Developer I, Platform Developer II, or Sales/Service Cloud Consultant. Experience in Salesforce Communities or Experience Cloud. Familiarity with Salesforce CPQ, Field Service Lightning, or Marketing Cloud is a plus. Experience with Salesforce DevOps processes (CI/CD, Source Control). Knowledge of other front-end technologies such as JavaScript, HTML, CSS.

Role: Email marketing Must have: Salesforce marketing cloud, HTML, CSS and JavaScript Tools: Content building, Journey building, automation Exp: 4+ yrs Salary: upto 9 LPA NP: Immi Location: Chennai Regards Jaya 7338960689

We are seeking a highly skilled and motivated Senior Salesforce Developer with a solid background in Sales Cloud, Service Cloud, and Lightning Web Components (LWC). The ideal candidate will have 4-7 years of experience working with Salesforce, demonstrating deep technical expertise, and a passion for delivering high-quality solutions. As a Senior Salesforce Developer, you will work with business stakeholders and technical teams to design, develop, and implement robust Salesforce solutions, contributing to the success of the organization. Key Responsibilities: Design, develop, and customize Salesforce applications leveraging Sales Cloud, Service Cloud, and Lightning Web Components (LWC). Develop and maintain custom Apex classes, triggers, Visualforce pages, and other Salesforce technologies to meet business requirements. Collaborate with business analysts, project managers, and other stakeholders to translate business needs into effective Salesforce solutions. Implement and customize Salesforce automation tools such as Flows, Workflows, and Process Builder to improve business processes. Build and deploy Lightning Web Components (LWC) to enhance user interfaces and improve user experience. Lead development efforts for integrations between Salesforce and third-party applications using REST/SOAP APIs, middleware, and other integration techniques. Ensure code quality by following best practices and participating in regular code reviews and unit testing. Troubleshoot and resolve complex technical issues and provide support for ongoing system improvements. Optimize Salesforce applications for performance, scalability, and reliability. Stay current with Salesforce updates, new features, and industry best practices to provide innovative solutions. Contribute to the development and enhancement of development processes, tools, and methodologies. Required Skills & Experience: 4-7 years of experience in Salesforce development, with strong expertise in Sales Cloud, Service Cloud, and Lightning Web Components (LWC). Proficiency in Apex, Visualforce, SOQL, and Salesforce data model. Strong experience in building and deploying Lightning Web Components (LWC) to improve user experience and functionality. Expertise in Salesforce configuration tools, including Flows, Workflows, and Process Builder. Hands-on experience with Salesforce integrations using REST/SOAP APIs and other integration tools. Experience with Salesforce security models, including profiles, permission sets, and sharing rules. Familiarity with Salesforce deployment tools such as Change Sets, ANT, or Salesforce DX. Strong problem-solving and debugging skills with the ability to resolve complex issues. Knowledge of Salesforce best practices and design patterns, ensuring high-quality code and solutions. Desired Skills: Salesforce certifications such as Platform Developer I, Platform Developer II, or Sales/Service Cloud Consultant. Experience with Salesforce Communities or Experience Cloud. Knowledge of Salesforce CPQ, Field Service Lightning, or Marketing Cloud is a plus. Experience with Salesforce DevOps processes (CI/CD, Source Control, and automated deployments). Familiarity with front-end web technologies (HTML, CSS, JavaScript).

Salesforce Marketing Cloud Developer Experience : 7years | Location : Hybrid,Hyderabad | Type : Contract-(6-months) Key Skills : - HTML, CSS, JavaScript (email development) - Salesforce Marketing Cloud : Email Studio, Journey Builder, Automation Studio - Dynamic content, personalization, and segmentation - A/B testing and performance analysis - Data integration for targeted campaigns - Email deliverability best practices - Strong communication and cross-functional collaboration Responsibilities : - Build responsive email templates - Create automated journeys and triggers - Personalize campaigns using customer data - Monitor, test, and optimize email performance - Align solutions with marketing objectives

Job Summary: We are looking for a passionate and motivated Salesforce Developer with a basic understanding of Salesforce components and web technologies. This role is ideal for candidates with foundational knowledge in Salesforce and eagerness to grow in a dynamic CRM environment. Key Responsibilities: Assist in the development, configuration, and maintenance of Salesforce applications. Work on customizations using Apex, Visualforce, and Lightning Components (Aura/LWC). Support Salesforce Sales Cloud and Service Cloud implementations. Create and maintain process automation using Flows, Process Builder, and Workflows. Collaborate with senior developers and stakeholders to gather and implement requirements. Participate in unit testing and troubleshooting of Salesforce applications. Help with basic deployment tasks and sandbox management. Required Skills: Basic understanding of Salesforce platform and CRM concepts Hands-on experience or knowledge in: Apex and Visualforce Lightning Components (Aura / LWC) SOQL / SOSL Salesforce Sales Cloud and/or Service Cloud Basic Process Automation (Flows, Validation Rules) Familiarity with Java , HTML , and JavaScript is a plus Understanding of Salesforce Testing and debugging Nice to Have: Exposure to Community Cloud , Marketing Cloud , or Salesforce CPQ Knowledge of Velocity or Deployment Automation Tools like ANT, Copado, or Git Salesforce Certification (ADM 201, PD1) is an added advantage * Perks and Benefits Joining bonus is available . For any queries, please feel free to contact us at the following email address E mail id :: info@heyroot.com

Salesforce Developer (LWC & Integration) We are seeking a highly motivated and experienced Salesforce Developer with 4.5 years of hands-on experience in building robust and scalable solutions on the Salesforce platform, with a strong focus on Lightning Web Components (LWC) and complex integrations. Responsibilities: Design, develop, and deploy custom Salesforce applications using Apex, Lightning Web Components (LWC), Visualforce, and other Salesforce technologies. Lead the development of modern and responsive user interfaces using LWC, adhering to best practices and performance optimization. Implement complex integrations between Salesforce and external systems using various integration patterns (SOAP, REST APIs, middleware solutions like MuleSoft, etc.). Collaborate with business analysts, solution architects, and other stakeholders to gather requirements, translate them into technical specifications, and deliver high-quality solutions. Perform code reviews, ensure adherence to coding standards, and maintain technical documentation. Troubleshoot and debug Salesforce applications and integrations, providing timely resolutions to production issues. Participate in the full software development lifecycle, including analysis, design, development, testing, deployment, and post-launch support. Stay up-to-date with the latest Salesforce releases, features, and best practices, proactively identifying opportunities for platform enhancement. Contribute to the continuous improvement of development processes and methodologies. Required Skills & Experience: 4.5 years of proven experience as a Salesforce Developer. Strong proficiency in Lightning Web Components (LWC), including component design, development, and debugging. Extensive experience with Salesforce integration patterns and technologies (REST API, SOAP API, Platform Events, etc.). Solid understanding and hands-on experience with Apex, Visualforce, SOQL, and SOSL. Proficiency in web technologies such as JavaScript (ES6+), HTML, and CSS. Experience with Salesforce declarative tools (Flow, Process Builder, Workflow Rules). Familiarity with version control systems, especially Git. Excellent problem-solving, analytical, and debugging skills. Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders. Preferred Qualifications: Salesforce Platform Developer I and II Certifications. Experience with Agile development methodologies. Knowledge of Salesforce Clouds (Sales Cloud, Service Cloud, Experience Cloud).

About The Role PM Key Roles and Responsibilities: Be able to understand client requirement and suggest possible enhancement in the build approach- act as SFMC senior consultant at the same time be able to execute solutions seamlessly with 100% quality Be accountable for building integrations with internal and external apps on the platform Work closely with data engineering team to build data integrations scalable into and out of the platform Leverage on Salesforce Marketing Cloud tools and scripting language to deliver scalable, responsive, best in class email templates with highly dynamic and personalized content Manage Automations in Salesforce Marketing Cloud to ensure that all schedules are executed correctly and debug any failures Build responsive web cloud pages for use cases such as landing pages, survey forms and campaign products Be responsible for creating a robust testing process prior to releasing new features/scripts and fixing bugs/fine-tuning features continuously Monitor data streams for latency and quality issues Exposure of creating solutions based on campaign requirements Exposure to create email campaigns using content builder in SFMC AMP Scripting for dynamic builds. Advanced knowledge of HTML, CSS, and Media queries to assist in custom coding. Should know about building block-based designs using the content builder Should know building multi-channel journeys in SFMC Should be well versed in creating and updating data extensions Working knowledge of Automation Studio Good knowledge of SQL queries TechnicalSkills : 5+ years of hands on experience working on Salesforce Marketing cloud Computer engineer and/or hands on experience writing code in HTML, CSS, SQL and Javascript/AMPScript/Similar scripting language for any other Marketing automation platform Extensive knowledge of Marketing Cloud functionalities including AMPscript, Email Studio, Automation Studio, Journey Builder, Cloud Pages, Contact Builder and Content Builder. Experience building applications and innovative email templates on the platform that drive business KPIs Ability to analyze the campaign requirements and suggest the type of DE and logic that needs to be used Needs to understand the database structure to come up with exception handling while amp scripting Fundamentally curious and always tinkering and exploring new tech

Looking for a Junior Salesforce Pardot Administrator to join our team.You'll be resp. for managing Mktg campaigns in Salesforce using Pardot (Marketing Cloud Account Engagement tool)Work in close collab with the mktg & Comm. & Salesforce team Required Candidate profile 1+ yrs of work exp using Pardot as administrator (mandatory) 3+ yrs of exp with Salesforce tech. Exp with Salesforce CRM monitoring data sync Ability to troubleshoot technical issues of campaigns

Job Summary We are looking for a skilled Team Lead to drive the successful implementation of Salesforce by coordinating across internal business units, IT teams, and the external implementation partner. The ideal candidate will have hands-on experience in Salesforce project delivery and strong stakeholder management capabilities. Key Responsibilities Lead Salesforce implementation efforts, ensuring alignment between business goals, IT requirements, and partner delivery. Act as the primary liaison among internal teams and the Salesforce partner. Manage project timelines, risks, and milestones; ensure on-time, within-budget delivery. Review functional specs, validate solution design, and oversee UAT and go-live support. Support change management, training, and post-implementation adoption. Provide regular project updates to leadership and stakeholders. Qualifications Bachelors degree in IT, Computer Science, or related field. 6+ years of experience in enterprise software or salesforce Marketing, Data, Commerce cloud implementation technical project management. 3+ years in Salesforce implementation leadership roles. Strong understanding of Salesforce (Marketing/Commerce/Data Cloud) and Subscription business processes. Strong understanding of Salesforce (Marketing/Commerce/Data Cloud) integration with SAP, non-SAP applications Excellent communication, coordination, and problem-solving skills. Preferred Certifications Salesforce Commerce, Marketing and Data Cloud / Consultant / Tablue PMP / Scrum Master

Develop and optimize Salesforce Marketing Cloud solutions to enhance marketing strategies and customer engagement Work on projects involving email marketing, automation, and customer journey mappingCollaborate with marketing teams for Marketing Cloud Required Candidate profile Experience in Salesforce Marketing Cloud and a record of successful implementations Strong technical skills and the ability to translate business requirements into effective Marketing Cloud solutions.

Role We are looking for a skilled and detail-oriented Marketing Cloud Developer to join our marketing technology team. This role requires hands-on development expertise in Salesforce Marketing Cloud (Engagement, Growth, or Advanced Editions) and strong coding capabilities to build, customize, and optimize marketing automation solutions. You will work closely with marketing stakeholders, business analysts, and other technical team members to deliver high-impact, personalized digital campaigns that drive customer engagement and business growth. Key Responsibilities: Design, develop, and maintain scalable solutions within Salesforce Marketing Cloud, including automations, customer journeys, data extensions, and dynamic content. Write clean, efficient, and reusable code using AMPscript, SSJS (Server-Side JavaScript), HTML, CSS, and SQL for personalization and dynamic content rendering. Develop and maintain custom email templates, landing pages, and forms using Marketing Clouds Content Builder and CloudPages. Implement API integrations between Salesforce Marketing Cloud and other systems, including Salesforce CRM, data warehouses, or third-party platforms. Build and troubleshoot complex automations in Automation Studio and Journey Builder. Ensure data integrity and best practices for audience segmentation, personalization, and CAN-SPAM compliance. Collaborate with business analysts and campaign managers to translate requirements into technical solutions. Conduct thorough testing and QA for emails, automations, and journeys to ensure flawless execution. Stay updated with Salesforce Marketing Cloud features and industry trends to recommend enhancements. Provide technical support and documentation for stakeholders and end users. Required Skills & Experience: Bachelor’s degree in Computer Science, Information Technology, Marketing, or a related field. 5+ years of hands-on development experience in Salesforce Marketing Cloud (Engagement, Growth, or Advanced Editions preferred). Proficiency in AMPscript, SSJS, HTML, CSS, and SQL for data queries and dynamic content. Solid understanding of relational data models, audience segmentation, and marketing automation best practices. Experience building and optimizing journeys in Journey Builder and automations in Automation Studio. Familiarity with API integration and REST/SOAP web services within Marketing Cloud. Strong problem-solving skills and attention to detail. Excellent verbal and written communication skills. Salesforce Marketing Cloud Developer or Email Specialist certifications are a plus. & responsibilities Preferred candidate profile

We are seeking an experienced and results-driven Marketing Cloud Business Analyst (BA) to join our Marketing Automation team. The ideal candidate will serve as a critical link between stakeholders and technical teams, translating complex business requirements into scalable, actionable solutions within Salesforce Marketing Cloud (Engagement, Growth, or Advanced Editions) and Salesforce CRM. This role demands excellent client-facing and communication skills, a strong understanding of marketing automation best practices, and the ability to lead discovery sessions and provide strategic guidance. Key Responsibilities: Act as the primary liaison between business stakeholders and technical teams to gather, analyze, and document requirements for Marketing Cloud initiatives. Lead client workshops and discovery sessions to understand marketing goals, processes, and pain points. Translate business requirements into detailed user stories, functional specifications, and solution designs. Collaborate with Salesforce CRM teams to ensure seamless integration between CRM and Marketing Cloud. Develop data segmentation strategies, customer journeys, and personalized campaign workflows. Assist in creating documentation, training materials, and user guides for end-users. Support User Acceptance Testing (UAT) and post-deployment validation. Provide recommendations to optimize marketing processes and improve campaign performance. Stay updated with Salesforce product releases and industry best practices. Required Skills & Experience: Bachelors degree in Marketing, Business, Information Technology, or a related field. 5+ years of experience as a Business Analyst or Functional Consultant, preferably in a marketing automation environment. Proven experience with Salesforce Marketing Cloud Engagement (Growth or Advanced Editions a plus) and Salesforce CRM. Solid understanding of digital marketing channels (email, SMS, social, ads) and data-driven campaign management. Strong client-facing skills with the ability to lead meetings, present solutions, and build trusted relationships. Excellent communication, presentation, and documentation skills. Salesforce Marketing Cloud Consultant and/or Administrator certifications are preferred but not required. Role & responsibilities Preferred candidate profile

Role & responsibilities Hiring for Techno Functional Business Analyst - Looking for Immediate Joiners Engage with business stakeholders to gather and analyze requirements for Salesforce-based solutions Collaborate with technical teams to ensure accurate and scalable implementation of requirements Define and enhance business processes across Sales, Service, and Experience Cloud environments Assist in the planning and functional design of Salesforce integrations with ERP, marketing, and project management systems Document business processes, workflows, BRDs, user stories, and test scenarios Facilitate user acceptance testing and support training and onboarding efforts Contribute to roadmap planning and continuous improvement initiatives Hands-on experience in conducting customer demos to showcase solution, gather feedback, and align stakeholders . Strong functional knowledge of Salesforce Marketing Cloud, Sales Cloud, Service Cloud, and Experience Cloud Ability to gather, analyze, and document business requirements and translate them into scalable Salesforce solutions Experience with process mapping, requirement traceability, and stakeholder collaboration using tools like Jira, Confluence, Miro, and Figma Preferred candidate profile

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines

About the Role : We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.

We are seeking a highly skilled Salesforce Einstein Consultant/Engineer with deep expertise in Einstein Analytics, Prediction Builder, and Discovery to design, implement, and maintain advanced AI-powered solutions across the Salesforce ecosystem. The ideal candidate will have a strong understanding of Salesforce core products, machine learning concepts, and integration strategies to drive data-driven decision-making and business intelligence. Key Responsibilities : Einstein Analytics Development : - Build and maintain Einstein Analytics dashboards and datasets, including complex data flows, data modeling, and performance optimization. Einstein Prediction Builder : - Develop, train, and deploy predictive models using Salesforces Prediction Builder. Handle data preparation, feature engineering, and performance tuning. Einstein Discovery : - Design and maintain insight-driven applications using Einstein Discovery, delivering automated insights and actionable recommendations. AI-Powered Solution Design : - Architect and implement AI-driven solutions using Salesforce Einstein, such as intelligent chatbots, virtual assistants, and predictive service models. Cross-Cloud Integration : - Seamlessly integrate Einstein features with Sales Cloud, Marketing Cloud, and Service Cloud to enhance automation and personalization. Data Preparation & Management : - Prepare, cleanse, and transform large datasets for use in Einstein solutions, ensuring high data quality and integrity. Model Management : - Handle model lifecycle including training, validation, deployment, and ongoing performance monitoring and optimization. Solution Deployment : - Configure, test, and deploy AI and analytics solutions in production environments, ensuring quality assurance and adherence to best practices. Requirements : Salesforce Platform Expertise : - 6+ years of hands-on experience with Salesforce ecosystem, including Sales Cloud, Service Cloud, and Marketing Cloud. Einstein Experience : - Minimum 2 years of experience working with Einstein Analytics (Tableau CRM), Prediction Builder, and Discovery. AI & Machine Learning Background : - At least 1 year of experience working with AI technologies, including machine learning models, GenAI/Agentforce, NLP, or deep learning concepts. Technical Skills : - Proficiency in Salesforce Lightning Web Components (LWC), Apex programming, and SOQL. Experience with external data integration and APIs is a plus. Data & Visualization Skills : - Strong knowledge of data modeling, ETL processes, and creating actionable data visualizations. Collaboration & Communication : - Proven ability to collaborate effectively with cross-functional teams, communicate technical concepts to non-technical stakeholders, and manage project timelines.