Ring CS - Salesforce Developer, Ring/Blink CS Technology Enablement

The Ring and Blink Customer Service Engineering Services team serves thousands of internal customers who help support millions of customers every year across multiple integrated platforms. The team is working on large-scale implementations of selected AI initiatives which are expected to reduce support call handle times, improve agent efficiency, and provide targeted and timely support to customers. This new Salesforce Developer role is crucial for delivering on AI initiatives for stakeholders and customers offering a chance for the right candidate to make a large impact.

This position will focus on designing and implementing sophisticated Salesforce solutions within our AI initiatives, including custom Apex development, Lightning components, Agentforce implementations, and Salesforce integrations with AWS AI services. You will lead technical design decisions and architect scalable Salesforce solutions leveraging Service Cloud, Data Cloud, and Voice technologies that support our business objectives of improving customer service efficiency through AI-powered automation.

Key job responsibilities

• Own the technical design and implementation of complex Salesforce features within AI initiatives
• Architect and build scalable Salesforce solutions integrating with AWS services and AI technologies
• Lead Salesforce platform optimization for performance, scalability, and maintainability
• Drive improvements in Salesforce development processes, deployment pipelines, and governance
• Design and implement robust APIs and integrations between Salesforce and external systems
• Ensure high-quality code through comprehensive testing strategies and code reviews
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Lead technical discussions and architecture reviews for Salesforce implementations

A day in the life

• Design and build advanced Salesforce customizations for AI-powered customer service platforms
• Architect Salesforce integrations with AWS AI/ML services and external systems
• Lead development of custom Lightning components and Apex solutions for support automation
• Implement Agentforce Voice solutions and conversational AI workflows
• Build and optimize Data Cloud implementations for unified customer data management
• Configure and customize Service Cloud features for enhanced agent productivity
• Implement Einstein AI features and custom AI integrations within Salesforce
• Design data models and workflows that efficiently handle high-volume customer cases
• Mentor junior developers and drive Salesforce best practices across the team

About the team

The Ring and Blink CS Tech team owns and manages the customer support technology stack to provide and empower Rings & Blinks customer support associates to deliver exceptional service to our Neighbors (customers). Our vision is to be customer-inspired and technology-enabled to propel customer service towards new horizons, transforming it into a scalable, secure, enterprise-grade infrastructure powered by AI and automation. Were evolving from reactive customer service to proactive, AI-enhanced support experiences. We are committed to delivering neighbor and associate experiences that are unparalleled, simplifying and streamlining business processes with intuitive interfaces via out-of-the-box, low-code, and innovative AI solutions. We focus on providing a seamless and effortless experience that revolutionizes customer service and boosts productivity.- Experience in automating, deploying, and supporting large-scale infrastructure

• Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
• Experience with Linux/Unix
• Experience with CI/CD pipelines build processes
• • 3+ years of professional Salesforce development experience
• • Expert-level proficiency in Apex, SOQL/SOSL, Lightning Web Components, and Aura Components
• • Strong experience with Salesforce Service Cloud configuration, customization, and optimization
• • Experience with Salesforce Voice technologies and telephony integrations
• • Knowledge of Data Cloud architecture, data modeling, and customer data platform concepts
• • Strong experience with Salesforce APIs (REST, SOAP, Bulk, Streaming)
• • Demonstrated experience designing and implementing large-scale Salesforce solutions
• • Experience with Salesforce integrations and middleware platforms
• • Knowledge of Salesforce security model, sharing rules, and data governance
• • Experience with Salesforce DevOps tools (Salesforce CLI, VS Code, Git-based deployments)