New opportunity

Senior Technical Consultant - Japanese Fluency (Mandatory)

Salesforce · Bangalore, India

About this role

Salesforce is seeking a Senior Technical Consultant to join their Customer Success team. This role focuses on delivering solutions that transform customer businesses using AI-powered tools and methodologies. The position requires a blend of technical development and client-facing consulting, with a mandatory requirement for business-level Japanese language proficiency to support the Japan market. Responsibilities: Programming solutions using Apex, JavaScript, and Lightning Web Components; developing and deploying applications using AI-assisted tools like Einstein for Developers, Cursor, and Claude; designing and implementing Agentforce and AI-native solutions including LLM flows and agentic automation; and demonstrating Salesforce AI capabilities to clients. Consultants will also manage risk, ensure high customer satisfaction, and travel to client sites (average 50%). Qualifications: Minimum 3-8 years of relevant experience; BE/BTech or equivalent degree; strong programming skills in JavaScript and an object-oriented language; and demonstrated AI fluency. Preferred qualifications include prior Salesforce development experience, hands-on experience with Agentforce or LLM-based design, and familiarity with DevOps and SQL. Candidates are expected to obtain specific Salesforce certifications within the first 3 months of employment.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

ApexJavaScriptLightning Web ComponentsAgentforceEinstein AILLMData ModelingJapanese LanguageCloud ComputingAPI IntegrationPrompt Governance

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • AI-Driven Solution Delivery

    The role requires 75% of time spent on programming, with a heavy emphasis on integrating Agentforce, LLM flows, and agentic automation. You must demonstrate how you use AI-assisted tools like Cursor or Einstein for Developers to accelerate code delivery and improve quality.

  • Japanese Market Engagement

    Business-level Japanese fluency is mandatory for client-facing work in the Japan market. You must be prepared to articulate complex technical value propositions and build trust with Japanese stakeholders while navigating cross-cultural business environments.

  • Technical Consulting and Risk Management

    Beyond coding, you are expected to act as a thought leader who identifies and manages project risks. This involves translating technical requirements into business outcomes and ensuring high customer satisfaction (CSAT) through effective communication and independent problem-solving.

  • Rapid Certification and Skill Acquisition

    You are expected to obtain four specific Salesforce certifications (Administrator, Platform App Builder, Platform Developer I, and JavaScript Developer I) within the first three months, requiring a proactive approach to learning Salesforce-specific standards and best practices.

Likely challenges to think through

  • Balancing Technical Depth with Client Travel

    With an average of 50% travel, maintaining high-quality, hands-on development work while on-site can be difficult. Prepare by demonstrating how you manage your development environment and maintain productivity during client engagements.

  • Adapting to Rapidly Evolving AI Tooling

    The role requires constant learning of new AI features and prompt governance standards. The challenge lies in staying current with the fast-paced evolution of Agentforce and generative AI while simultaneously delivering stable, enterprise-grade solutions for clients.

  • Bridging Technical Solutions and Business Value

    You must be able to defend your design choices to diverse audiences. The difficulty is in simplifying complex agentic automation or LLM flows into clear business benefits for non-technical stakeholders, especially when operating in a cross-cultural context.

03

Practice your answers

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?

02

Sharpen your knowledge

Topics to prepare

  • Agentic AI and LLM Flows

    The role requires designing and implementing Agentforce and AI-native solutions. Review the conceptual framework of agentic automation, including how LLMs are integrated into business workflows to drive autonomous actions. Exercise: Map out a hypothetical customer service workflow where an AI agent handles multi-step interactions, identifying where LLM triggers and data handoffs occur.

  • Salesforce Data Modeling

    Effective solution design requires proficiency in modeling objects, fields, and complex relationships (1:M and M:M). Exercise: Create a schema diagram for a common business scenario, such as a subscription management system, ensuring you can articulate the rationale behind your choice of relationships and data structures.

  • AI-Assisted Development Methodology

    The position emphasizes using tools like Einstein for Developers, Cursor, and Claude to accelerate coding. Review best practices for prompt engineering in a development context and how to maintain code quality while using AI-assisted generation. Exercise: Refactor a legacy JavaScript function using an AI coding assistant, focusing on improving readability and performance while documenting the prompts used.

Skills to revise

  • Apex and Lightning Web Components (LWC)

    These are core programming requirements for Salesforce platform development. Exercise: Build a small LWC component that fetches data via an Apex controller, ensuring you follow Salesforce security best practices and proper component lifecycle management.

  • Business-Level Japanese Communication

    Japanese fluency is mandatory for client-facing engagements in the Japan market. Exercise: Prepare a technical presentation or a mock client-consulting scenario in Japanese, focusing on explaining the business value of an AI implementation to non-technical stakeholders.

  • Prompt Governance

    The role involves adhering to Salesforce's AI delivery standards. Exercise: Draft a set of governance guidelines for a hypothetical project, detailing how to manage, test, and audit prompts to ensure they remain secure, accurate, and aligned with company policy.

04

Your preparation checklist

  • Demonstrate Japanese language proficiency

    Prepare to conduct parts of the interview in business-level Japanese. Be ready to discuss technical concepts, such as AI-native solutions or data modeling, fluently in Japanese to demonstrate your ability to support the Japan market.

  • Build an AI-assisted development project

    Create a small project using tools like Cursor or Claude to generate code in Apex or JavaScript. Document your workflow, specifically highlighting how you used AI to accelerate development, improve code quality, and manage prompt governance.

  • Prepare a technical walkthrough of Agentforce or LLM flows

    Develop a brief presentation or diagram explaining how you would design an agentic automation or LLM-based flow within the Salesforce ecosystem. Focus on the architecture, data modeling, and how you would translate these technical capabilities into business value for a client.

  • Review Salesforce certification requirements

    Familiarize yourself with the objectives for the Salesforce Certified Administrator, Platform App Builder, Platform Developer I, and JavaScript Developer I certifications. Be prepared to discuss your plan for achieving these within the first 90 days.

  • Formulate questions on client engagement and risk management

    Prepare thoughtful questions regarding the 50% travel requirement and how the team manages risk in high-stakes client engagements. Ask about the current challenges in implementing Agentforce for Japanese clients to show your strategic interest in the role.

AI-generated from the job information · Prepared Oct 27, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability has not yet been verified. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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