Apply Einstein AI and analytics capabilities to enable insights-driven decision-making, predictive recommendations, and performance optimization for field sales and retail execution teams.
Design and implement Salesforce Agentforce and AI-powered experiences to support intelligent automation, guided selling, and field productivity use cases across DSD and retail execution workflows.
Ensure resiliency, availability, scalability, performance, and maintainability of Salesforce solutions.
Research emerging Salesforce features and industry trends.
Qualifications
Required
Master's or Bachelor's degree in a related field (e.g., Computer Science, Computer Engineering, Electrical Engineering, Information Technology, System Analysis) or equivalent combination of education and work experience.
10–12+ years of experience in IT and business/industry, including strategic and operations planning.
10+ years of experience in at least three disciplines, such as business, solution, or technical architecture, application development, middleware, information analysis, database management, or operations.
3–5 years of IT experience including Salesforce architecture, design, and delivery.
Strong experience in consumer goods cloud and retail execution architecture.
Experience working in multiple, diverse technologies and processing environments.
Knowledge of SDLC methodologies with experience delivering Salesforce solutions in Agile and DevOps environments.
Proven ability to translate strategic vision into executable Salesforce roadmaps.
Ability to lead cross-functional teams and communicate effectively with business stakeholders.
Experience with Salesforce implementations involving large numbers of users and records.
Expertise in guiding architecture decisions for retail execution and mobile/offline workflows.
Deep knowledge of Salesforce CGRE (Consumer Goods Retail Execution), core platform, integration, and data transfer capabilities.
Familiarity with other Salesforce platforms such as SFMC, Contact Center, Service Cloud, and CRM.
Knowledge of integration patterns, including real-time and batch approaches.
Preferred
Experience with Salesforce Agentforce and AI-powered solutions.
Expertise in applying Einstein AI and analytics capabilities.
