Senior Salesforce Developer, Service Cloud
iRobot•Bedford, MA
•Hybrid
About The Position
We are looking for a Senior Salesforce Developer with strong experience in Service Cloud and hands-on exposure Agentforce. This role will support and enhance our Customer Care CRM platform, including an existing AI-powered chatbot used for customer troubleshooting. You will help expand the chatbot to support Agentforce actions, and scale it globally to support Europe and Japan with multilingual and localized workflows. This role combines Salesforce development, integrations, and AI-driven automation.
Requirements
- 5+ years of Salesforce development experience
- Strong experience with: Apex, Lightning Web Components, Flows
- REST APIs and integrations
- Salesforce Service Cloud
- Hands-on experience with Salesforce Agentforce
- Experience working with Salesforce Order Management (OMS) & Salesforce Service cloud
- Familiarity with Salesforce Data Cloud
- Experience with Git and Salesforce deployments
- Strong problem-solving and collaboration skills
- Salesforce certifications (Platform Developer I/II)
- Experience with AI, chatbots, or conversational automation
- Experience supporting global or multilingual Salesforce implementations
- Background in customer service, warranty, or technical support systems
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of any additional employment visas at this time.
Responsibilities
- Design, build, and support solutions on Salesforce Service Cloud, Salesforce Order Management (OMS) using Apex, Lightning, and Flows
- Deliver enhancements across the full development lifecycle
- Work closely with business teams to translate requirements into scalable solutions
- Follow Salesforce best practices for development, testing, and documentation
- Build and maintain API integrations using Apex and REST services
- Enhance the existing Agentforce chatbot to support transactional workflows
- Improve chatbot accuracy using Salesforce Knowledge, product data, and business rules
- Configure prompts, intents, actions, and fallback logic
- Use Salesforce Data Cloud to support personalization and AI grounding
- Support identity resolution and data mapping as needed
- Support testing, UAT, deployments, and production releases
- Follow DevOps and Git-based deployment practices
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
501-1,000 employees
