– Salesforce Platform & AI

Responsibilities

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• Design and develop new functionality for product using Apex, Lightning Web Components (LWC), JavaScript, SOQL, Salesforce APIs, metadata, and platform services.
• Build reusable, scalable product capabilities intended to serve many enterprise customers rather than customer-specific implementations.
• Contribute to product architecture and long-term technical design decisions.
• Work within an established commercial product codebase and help evolve it across releases.
• Consider upgradeability, backward compatibility, packaging, maintainability, performance, security, and customer-org variability as part of normal product development.
• Work on complex product areas including project scheduling, resource and capacity planning, workflow orchestration, project financials, and enterprise user experiences.
• Use AI-assisted development tools for solution design, coding, testing, debugging, refactoring, and documentation.
• Review and validate AI-generated implementations and identify when an approach is technically incorrect, insecure, non-scalable, or inappropriate for the Salesforce platform.
• Help design and build AI agents and intelligent capabilities directly into the Leankor product.
• Develop AI capabilities that can understand project context, analyze data, identify risks and opportunities, recommend actions, and automate appropriate work.
• Help define guardrails, permissions, validation, and human approval processes for AI-driven actions.
• Troubleshoot complex issues across the UI, application logic, data model, integrations, AI services, and Salesforce platform.
• Collaborate with Product, Architecture, UX, QA, and other engineering team members.

Qualifications

• 8+ years of professional software development experience preferred.
• 3–5+ years of hands-on Salesforce development experience strongly preferred.
• Strong experience with Apex and Lightning Web Components.
• Experience developing complex enterprise applications or commercial software products
• Prior experience working in a software product company strongly preferred
• Experience owning functionality across multiple releases rather than delivering isolated project implementations.
• Strong knowledge of software architecture, design patterns, debugging, testing, security, performance, and maintainability.
• Experience with Salesforce data modeling, APIs, security and sharing, asynchronous processing, and platform limits
• Experience with Git, source control, automated testing, and modern CI/CD practices
• Practical experience using AI-assisted software development tools.

AI Experience

Experience with several of the following is highly desirable

• Large Language Models (LLMs) ● AI agents and agentic workflows
• Tool/function calling ● Prompt and context engineering ● Structured model outputs
• Retrieval-Augmented Generation (RAG) ● AI evaluation and guardrails
• Human-in-the-loop workflows
• Salesforce Agentforce or related Salesforce AI technologies Prior Agentforce experience is beneficial but not required.

Preferred Experience

• Salesforce ISV or AppExchange product development
• Managed-package development
• Experience building and maintaining a commercial Salesforce-native product
• Complex reusable Salesforce-native applications
• High-volume Salesforce architectures
• Enterprise project, work management, scheduling, or resource-management software
• Salesforce Service Cloud, Field Service, Experience Cloud, or Sales Cloud. Experience building a commercial Salesforce product is highly desirable. Candidates from consulting or services backgrounds will be considered where they can clearly demonstrate significant ownership of reusable product development, product architecture, and long-term

software evolution.