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.
Establish best practices for coding standards and implement testing strategies to maintain high-quality code, identify and resolve bugs, and optimize performance.
Partner with Decision Scientists, Data Scientists, Product Managers, and Engineering Leaders to translate complex business needs into scalable, production-ready technical solutions.
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
Customer Success Data Platform
Full-stack development
Front-end and back-end development
AI Integration & Automation
DevOps, monitoring, incident management
Version control systems (Git)
Nice-to-have
Trailblazers passionate about business and world betterment
Drive innovation and core values
Agentforce and the future of AI
Business as a platform for change
Doing well and doing good
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