Technical practice
Apex and Lightning Web Components (LWC) Development
What to coverDiscuss your experience building scalable solutions using Apex and LWC. Focus on how you handle server-side logic in Apex while maintaining efficient client-side performance in LWC, and be prepared to explain how you manage state and data binding between the two.
AI-Assisted Development Workflows
What to coverDescribe how you integrate tools like Einstein for Developers, Cursor, or Claude into your daily coding routine. Focus on how you validate AI-generated code for security, accuracy, and adherence to Salesforce best practices.
Agentforce and LLM Integration
What to coverExplain your approach to designing agentic automation or LLM-based flows within the Salesforce ecosystem. Address how you handle prompt governance, model selection, and the integration of AI outputs into existing business processes.
Data Modeling for Complex Relationships
What to coverProvide an example of how you have modeled 1:M and M:M relationships to solve a specific business problem. Discuss the trade-offs between different data modeling approaches in Salesforce, such as using lookup versus master-detail relationships.
API Integration and Middleware
What to coverDetail your experience integrating Salesforce with external cloud or back-office systems. Discuss how you handle authentication, error handling, and data synchronization when working with REST or SOAP APIs.
DevOps and Release Management
What to coverExplain your process for managing deployments and maintaining code quality in a Salesforce environment. Mention your familiarity with version control, automated testing tools, and how you ensure stability during frequent release cycles.
Prompt Governance and AI Ethics
What to coverDiscuss the importance of prompt governance when deploying AI solutions for clients. Explain how you ensure that AI models remain secure, unbiased, and compliant with enterprise data privacy standards.
Troubleshooting and Risk Management
What to coverDescribe a time you identified a significant technical risk in a project before it impacted the client. Explain your methodology for diagnosing the root cause and the steps you took to mitigate the issue while maintaining project timelines.
Behavioural practice
Cross-Cultural Client Engagement
What to coverDescribe a situation where you had to navigate cultural differences to build trust with a client, specifically in the context of the Japan market. Use the STAR method to explain how your communication style helped achieve a successful outcome.
Translating Technical Value to Business Outcomes
What to coverProvide an example of a time you had to explain a complex AI or technical feature to a non-technical stakeholder. How did you ensure they understood the business impact and value of the solution?
Adapting to Rapid Technological Change
What to coverThe AI landscape evolves quickly; describe a time you had to learn a new technology or tool on short notice to meet a project requirement. How did you manage the learning curve while still delivering on your core responsibilities?
Managing Client Expectations and Satisfaction
What to coverTell us about a project where you faced significant challenges or scope creep. How did you manage the client's expectations while ensuring high customer satisfaction (CSAT) and project success?