Career Center

SAMPLE JOB DESCRIPTION

• Design AI-driven strategies: Work with stakeholders to define how Salesforce's AI tools can be used to achieve business goals, such as improving lead conversion rates, automating customer service, and personalizing the customer experience.
• Architect solutions: Design and build scalable solutions that leverage Salesforce AI tools like Einstein Prediction Builder, Next Best Action, and Einstein Bots.
• Integrate AI capabilities: Ensure seamless integration of Salesforce AI with other enterprise systems and third-party applications using APIs and other integration tools. 

• Configure Salesforce AI tools: Set up and customize Einstein features, such as configuring automated workflows, implementing predictive lead scoring, and creating natural language processing (NLP) based chatbots.
• Develop AI models: Build, test, and deploy predictive models using CRM data, leveraging AI techniques for tasks like root cause analysis and anomaly detection.
• Enhance CRM functionality: Build custom applications and automate business processes within Salesforce using Apex, Lightning, and Flow to support AI-driven insights. 

• Ensure data quality: Manage and prepare data for AI models, perform data cleansing, and ensure strong governance for data accuracy and security.
• Monitor and refine AI performance: Continuously monitor and evaluate the effectiveness of AI models and solutions. Adjust algorithms and model parameters to improve accuracy and business impact.
• Provide actionable insights: Create reports and dashboards in tools like Tableau CRM (formerly Einstein Analytics) to visualize data-driven insights for stakeholders and end-users. 

• Serve as a trusted advisor: Act as a subject matter expert for both technical and non-technical stakeholders, translating complex AI concepts and findings into business value.
• Provide training: Educate end-users and junior team members on how to use AI-powered tools effectively and ethically.
• Establish best practices: Develop and document standards for AI development, integration, and deployment to ensure quality and security. 

• Expertise with Salesforce platform administration and development, including Apex, Lightning components, and Flow.
• Hands-on experience with Salesforce Einstein, including Einstein GPT, Einstein Prediction Builder, and Tableau CRM.
• Knowledge of AI/ML concepts, such as natural language processing (NLP), predictive modeling, and prompt engineering.
• Proficiency in data analysis, data modeling, and data preparation for AI.
• Experience with integrations using APIs and tools like MuleSoft. 

• Experience: Typically requires 3+ years of hands-on project experience with the Salesforce platform.
• Certifications: Relevant certifications from Salesforce, such as Salesforce Certified AI Associate or Einstein Analytics and Discovery Consultant. 

• Communication: Strong verbal and written communication skills to explain complex technical topics to business users.
• Problem-solving: Exceptional analytical and problem-solving abilities to design solutions that meet business requirements.
• Collaboration: The ability to work effectively with cross-functional teams, including sales, marketing, and IT.
• Business acumen: An understanding of business processes to align AI initiatives with strategic goals.