Create and develop new features and functions within the Customer Success Data Platform ecosystem, taking a full-stack approach to ensure a seamless and responsive user experience
Job Summary
Create and develop new features and functions within the Customer Success Data Platform ecosystem, taking a full-stack approach to ensure a seamless and responsive user experience.
Partner with Decision Scientists, Data Scientists, Product Managers, and Engineering Leaders to translate complex business needs into scalable, production-ready technical solutions.
Lead high-impact efforts to automate the data delivery pipeline, ensuring seamless integration between internal databases, third-party APIs, and the AI orchestration layer.
Matching Summary
Create and develop new features and functions within the Customer Success Data Platform ecosystem, taking a full-stack approach to ensure a seamless and responsive user experience.
Skills & Requirements
Must-have
Full-stack development
Front-end and back-end development
AI integration and automation
Data delivery pipeline automation
CI/CD pipelines
DevOps and monitoring solutions
Nice-to-have
Agentforce and AI future
Trailblazer mindset
Customer success focus
Business as a platform for change
Key Requirements
6+ years of experience as a Software Engineer
Familiarity with Slack APIs and Salesforce stack
Proficiency in front-end technologies and frameworks
Strong expertise in back-end development languages and frameworks