Software Engineering Lead Member of Technical Staff-Artificial Intelligence/Machine Learning

To enhance your candidacy experience, we recommend applying for no more than 3 roles within a year, this will prevent repeated efforts. Job Category - Software Engineering Job Details About Salesforce We are Salesforce, the Customer Company, shaping the future of business utilizing AI, Data, and CRM. Our core values drive us to assist companies across all sectors to chart new paths and interact with their customers in novel ways. We empower you to be a Trailblazer, accelerating your performance and career growth, forming innovative routes and improving the world's state. If you believe in business as the paramount platform for change and companies flourishing while doing good – you've found the right destination. Salesforce Personalization is a top-notch tool enabling organizations to leverage data integrated with sophisticated AI modeling and flexible business rules for automatically providing personalized, omnichannel experiences in real time, facilitating organizations to augment revenue, shorten sales cycles, boosting customer satisfaction. This is an exhilarating opportunity to construct something novel in the AI/Personalization field! We aim to develop the Next Best Experience AI-generated decisions at an individual level across all channels such as chat, web, messaging, boosting business targets throughout Salesforce's C360 clouds. We aspire to offer experimentation and rule-based decisions as required, but inspiring our customers to rely mainly on AI. Construct and provide personalization services embedded within Salesforce’s customer context so that they can offer AI-generated, personalized experiences to their customers. Responsibilities: - Analyze, design, and code: Manage a Test Design Review Board for integration test plans within and across clouds focusing on functional, business, intricate scenarios, high-impact projects, usability, and accessibility. - Understand cloud requirements (tech stack, business usage, implementation) - Develop end-to-end integrated automation across clouds with complex organizations - Conduct testing with complex org setup, varied data shapes - Coordinate and execute cross-product blitzes - Champion customer enhancements - Monitor product and/or feature-level quality health metrics (testability, test health, test coverage, etc.) - Collaborate closely with senior developers, PM, UX to ensure feature delivery meeting business and quality requirements - Troubleshoot production issues - Provide leadership and coaching to scrum teams members, as well mentoring others on different scrum teams. - Assume service ownership Requirements: - Bachelor's degree or its equivalent in Computer Science, Engineering, or a related quantitative discipline. - Minimum of eight years of software engineering development experience - Proficiency in Java or similar languages - Experience with AI and Personalization, a significant plus - Experience with Public Cloud (AWS/GCP) - Ability to write functional automation (API) - A self-motivator who can work independently, quickly learn, meet deadlines, and demonstrate problem-solving skills. - Excellent communication skills for conveying technical information clearly and concisely and coordinating cross-team efforts. - Experience with Agile development methodology. - Experience with developer tools like git, Maven, and Eclipse IDE. - Experience developing services in a service-oriented-architecture. - Experience in REST API design. - Proven ability to learn quickly in a dynamic environment Preferred Qualifications: - Experience building highly scalable web applications. - Experience with Agile software development and test-driven development. - A strong track record of top performance in current and past roles. - Experience troubleshooting end-to-end, full-service stack ownership. - Ability to present designs to internal/external groups and review others' designs. 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