Associate Staff Engineer, CRM Salesforce (Salesforce Einstein)

REQUIREMENTS:

• Total Experience 4+ years
• Strong experience in Salesforce development with Salesforce Einstein AI, including Prediction Builder and Einstein Discovery.
• Experience implementing Flows, Einstein Bots, and AI-driven automation.
• Strong knowledge of Sales Cloud and Service Cloud; exposure to Marketing Cloud is a plus.
• Solid understanding of data modeling, predictive analytics, and machine learning concepts within Salesforce.
• Proficiency in Apex, Lightning Web Components (LWC), SOQL, and Salesforce automation tools.
• Ability to integrate Einstein insights into Salesforce UI and business processes.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile/Scrum environments.

RESPONSIBILITIES:

• Writing and reviewing great quality code.
• Design and implement Salesforce Einstein AI solutions including Einstein Prediction Builder, Einstein Discovery Models, and Einstein Recommendations.
• Develop and optimize Einstein AI capabilities integrated with Sales Cloud, Service Cloud, Marketing Cloud, and custom Salesforce applications.
• Work with business stakeholders to identify AI-driven use cases and translate them into scalable Salesforce solutions.
• Configure datasets, define target variables, and refine prediction accuracy for Einstein models
• Implement AI-assisted workflows, Next Best Action (NBA) strategies, and intelligent automation using Einstein Bots, Salesforce Flows, and Orchestration.
• Embed Einstein insights into Salesforce user experiences using Lightning Web Components (LWC), Apex, and Lightning components.
• Collaborate with data and analytics teams to ensure data quality, feature readiness, and model reliability
• Perform model testing, monitoring, performance tuning, and version management
• Create technical documentation, best practices, and support enablement for internal teams
• Collaborate with cross-functional teams including Sales, Service, Marketing, Analytics, and Product to drive AI adoption