Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead technical requirements gathering and solution design for Salesforce Field Service Lightning (FSL) and related customer experience enhancements involving Einstein and GPT.
Manage and mentor scrum and project teams, ensuring Agile and Waterfall methodologies are effectively applied to deliver projects on time.
Develop and maintain data science models, data pipelines using SSIS, and integrate Salesforce solutions to solve complex business problems and improve sales and service effectiveness.
Minimum Requirements
Minimum 5 years experience in software development with at least 3 years in Salesforce and 2 years in Field Service Lightning (FSL).
At least 2 years as a technical lead and 2 years experience in data science and Python programming.
Experience with Salesforce customization, Apex, Visualforce, Lightning Web Components (LWC), integration (SOAP & REST), and SSIS for data integration.
ChatGPT and prompt engineering experience of 1+ years, with good understanding of Sales, Service & Community Clouds and Salesforce security models.
Ideal Candidate Profile
Experienced technical leader capable of bridging business requirements with scalable Salesforce and data science solutions, including cutting-edge AI tools like GPT.
Proficient in managing scrum teams and following Agile and Waterfall project delivery practices in large or complex environments.
Strong blend of Salesforce platform expertise, hands-on development skills, and familiarity with data integration and predictive modeling techniques, suitable for health-tech or enterprise scale projects.