New opportunity

Senior Sales Force Scrum Lead

Tech Data Advanced Private Limited · Chennai, India

About this role

The Salesforce Scrum Lead - Agentforce & AI Solutions is responsible for leading Agile Salesforce delivery teams while designing, developing, and supporting enterprise Salesforce solutions with a strong focus on AI-driven automation, Agentforce, Data Cloud, and modern Salesforce platform capabilities. This role combines Salesforce technical leadership, Scrum Master responsibilities, solution architecture, and hands-on development expertise to deliver scalable, secure, and intelligent business solutions. Responsibilities include facilitating Agile ceremonies, managing sprint execution, and partnering with stakeholders to prioritize backlogs. The role involves designing and implementing Salesforce Agentforce AI Agents, configuring Agent Builder and Prompt Builder, and optimizing AI performance through prompt engineering and reasoning strategies. Candidates must ensure solutions adhere to security and governance models, lead end-to-end project delivery, and mentor junior team members. Required qualifications include 7+ years of hands-on Salesforce development experience, 3+ years of experience leading Agile/Scrum teams, and proficiency in Apex, LWC, and AI workflow automation. Required certifications include Salesforce Certified Administrator, Salesforce Platform Developer I, and Salesforce Agentforce Specialist. A Bachelor's degree in a technical discipline is required. The position requires availability during EST business hours and involves collaboration with global teams.

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

Skills for this role

SalesforceAgentforceData CloudEinstein AIApexLightning Web ComponentsJavaScriptNode.jsSalesforce FlowsPrompt EngineeringLarge Language ModelsRAGScrumAgileSalesforce DXCI/CDGit

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Agentforce and AI Solution Delivery
The role requires designing, implementing, and optimizing AI agents using Agentforce, Agent Builder, and Prompt Builder. You must demonstrate expertise in prompt engineering, reasoning strategies, and Einstein AI to deliver intelligent business solutions that align with enterprise governance and security standards.
Agile Leadership and Scrum Facilitation
As a Scrum Lead, you are responsible for facilitating all Agile ceremonies, managing sprint execution, and grooming backlogs in partnership with Product Owners. You must ensure team velocity and delivery metrics are tracked while removing roadblocks to maintain project momentum.
Technical Architecture and Development
You must provide hands-on technical leadership in Apex, LWC, and Salesforce platform capabilities. This includes managing end-to-end project delivery, conducting code reviews, and ensuring all solutions follow architectural best practices and secure integration patterns.
Cross-Functional Collaboration and Mentorship
The role involves working with global teams and stakeholders across time zones, requiring strong communication skills. You are expected to mentor junior team members on Salesforce technologies and Agile methodologies to foster a culture of continuous improvement.

Likely challenges to think through

EST Time Zone Alignment
Operating from India while requiring availability during EST business hours creates a significant schedule shift. Prepare by discussing your experience with asynchronous communication and your strategies for maintaining productivity and team synchronization across disparate time zones.
Balancing Technical Development with Scrum Leadership
The role demands a dual focus on hands-on coding and Agile management. This can lead to conflicting priorities where urgent development tasks compete with facilitation duties. Prepare by explaining how you prioritize your time to ensure both technical quality and team progress are maintained.
Implementing Emerging AI Technologies
Agentforce and advanced AI solutions are rapidly evolving. The challenge lies in ensuring these solutions remain secure, compliant, and performant within an enterprise environment. Prepare by highlighting your experience with the Einstein Trust Layer and your approach to testing and validating AI agent behavior.

Practice your answers

Technical practice

Designing Agentforce AI Agents

What to coverExplain your process for designing and implementing autonomous agents within Salesforce. Discuss how you utilize Agent Builder, define Topics, and configure Agent Actions to meet specific business requirements.

Prompt Engineering and Reasoning Strategies

What to coverDescribe your approach to optimizing AI performance using Prompt Builder. Explain how you apply reasoning strategies and token optimization techniques to ensure accurate and efficient AI responses.

Data Cloud and RAG Implementation

What to coverHow do you integrate Salesforce Data Cloud with Retrieval Augmented Generation (RAG) architectures? Discuss the challenges of maintaining data quality and security when grounding AI models with enterprise data.

Salesforce DevOps and CI/CD

What to coverDetail your experience with Salesforce DX, Git-based branching strategies, and CI/CD pipelines. Explain how you manage release cycles and ensure automated testing is integrated into the development lifecycle.

Apex and Lightning Web Components (LWC) Best Practices

What to coverDiscuss your approach to writing scalable and secure Apex code and LWC components. Focus on how you enforce development standards and conduct effective code reviews within a team.

Security and Governance in AI Solutions

What to coverHow do you ensure AI solutions adhere to security models and governance frameworks? Address the use of the Einstein Trust Layer and how you manage access controls like Profiles, Permission Sets, and FLS/CRUD.

Integration Patterns

What to coverDescribe your experience integrating Salesforce with external applications using REST/SOAP APIs and event-driven architectures. Explain how you handle API-first and headless integration requirements.

Troubleshooting AI Agent Performance

What to coverIf an AI agent is providing inaccurate or inefficient responses, what steps do you take to diagnose the issue? Suggestion: Focus on analyzing audit logs, reviewing prompt configurations, and evaluating the underlying data quality.

Behavioural practice

Managing Agile Ceremonies and Stakeholders

What to coverDescribe a situation where you had to facilitate Agile ceremonies while managing conflicting priorities from business stakeholders. How did you ensure the team remained focused on delivering business value?

Mentoring Junior Team Members

What to coverProvide an example of how you have mentored junior developers on Salesforce technologies or Agile practices. What was the outcome of your guidance on their performance or the team's overall delivery?

Resolving Project Roadblocks

What to coverTell me about a time you identified a significant project roadblock that threatened a sprint deadline. What actions did you take to resolve the issue and keep the team on track?

Collaborating with Global Teams

What to coverThis role requires working with global teams across different time zones. Describe a time you successfully coordinated a project involving distributed teams. How did you manage communication and ensure alignment?

Sharpen your knowledge

Topics to prepare

Agentforce AI Architecture
Review the core components of Agentforce, specifically Agent Builder, Prompt Builder, and the Reasoning Engine. Exercise: Map out a hypothetical workflow for an autonomous SDR agent, identifying which Agent Actions and Topics are required to handle lead nurturing, and explain how the Einstein Trust Layer ensures data security in this process.
Agile Delivery Leadership
Focus on the responsibilities of a Scrum Lead in a global, hybrid environment. Exercise: Create a mock sprint plan that accounts for EST business hour availability and cross-functional dependencies, and draft a strategy for managing team velocity and removing roadblocks when working with distributed stakeholders.
Data Cloud and RAG Integration
Understand how Data Cloud serves as the foundation for Retrieval Augmented Generation (RAG) in Salesforce. Exercise: Design a high-level architecture diagram showing how external data is ingested into Data Cloud and subsequently used by an AI agent to provide context-aware responses, ensuring compliance with governance models.

Skills to revise

Prompt Engineering for Salesforce
Practice optimizing AI performance through specific reasoning strategies and token management. Exercise: Write and refine a set of system prompts for a service-oriented AI agent, testing how different prompt structures affect the accuracy and relevance of the agent's output within the Prompt Builder interface.
Salesforce DX and CI/CD
Master source-driven development using SFDX and Git-based workflows. Exercise: Simulate a release management process by creating a branching strategy in Git, configuring a basic CI/CD pipeline for automated testing, and documenting the steps for a successful production deployment using Salesforce DevOps Center.
Apex and Lightning Web Components
Maintain proficiency in core Salesforce development languages. Exercise: Develop a sample LWC that interacts with an Apex controller to display real-time AI agent performance metrics, ensuring the code follows security best practices like FLS/CRUD enforcement.

Your preparation checklist

Prepare an Agentforce implementation case study
Draft a technical walkthrough of a project where you designed an AI agent using Agent Builder and Prompt Builder. Highlight how you optimized reasoning strategies, managed data via Data Cloud, and ensured compliance with the Einstein Trust Layer.
Demonstrate Agile leadership in a Salesforce context
Prepare specific examples of how you have facilitated Scrum ceremonies for Salesforce delivery teams. Be ready to discuss how you managed sprint velocity, removed technical roadblocks, and balanced stakeholder priorities while maintaining high code quality.
Review Salesforce DevOps and CI/CD proficiency
Outline your experience with source-driven development using Salesforce DX, Git branching strategies, and automated testing. Prepare to explain how you have managed complex release cycles and maintained governance in enterprise environments.
Formulate strategic questions for the interviewer
Prepare questions regarding the current maturity of their Agentforce initiatives, the specific composition of the global teams you will lead, and how the organization balances rapid AI innovation with existing security and governance frameworks.
Validate technical alignment with role requirements
Review your experience with Apex, LWC, and integration patterns (REST/SOAP). Ensure you can articulate how these traditional development skills integrate with modern AI-driven automation and RAG architectures.

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