Salesforce
AI CRM
LeadSoftwareEngineer,Knowledge&AIPlatform
“Lead Software Engineer, Knowledge & AI Platform at Salesforce. Skills: Java, Object-oriented design patterns, JavaScript (ES6+), React, Architectural evolution, Scalable foundational systems design, AI/ML technologies. Drive the architectural evolution and end-to-end delivery of core Knowledge features, including Self-Learning Knowledge (SLK) refactoring, SLK setup, and deep integrations with Data Cloud.. Design scalable foundational systems — such as Data Cloud orchestration frameworks and even”
What You'll Achieve.
Unlock meaningful customer value.; Deliver amazing experiences that customers love.
Industry & Context.
Synthesize complex technical problems and product requirements into clear architectural paths and actionable strategic plans.; Resolving long-standing technical debt
What They're Looking For.
Must Have
8+ years of software engineering experience with deep expertise in Java and object-oriented design patterns., Proven ability to synthesize complex technical problems and product requirements into clear architectural paths and actionable strategic plans., Proficiency in modern front-end development using JavaScript (ES6+), React, and related ecosystem tools (e. g. , Redux, React Hooks, Next. js) to build responsive, scalable, and performant web applications., Demonstrated success leading cross-team technical initiatives and influencing engineering decisions beyond the immediate team., written and verbal communication skills, with the ability to influence leadership and collaborate effectively with cross-functional stakeholders including Product Management, UX, and Architecture teams., Experience building web-based solutions using web services and a proven ability to integrate with unfamiliar technologies quickly., Bachelor's degree in Computer Science, Engineering, Management Information Systems (MIS), or equivalent practical experience.
Nice to Have
Exposure to AI/ML technologies, such as large language models (LLMs), recommendation systems, or similar., Experience with cloud-native and microservices architectures (e. g. , Spring Boot, Guice, message queues, event-driven systems).
What You'll Do.
Drive the architectural evolution and end-to-end delivery of core Knowledge features
including Self-Learning Knowledge (SLK) refactoring
and deep integrations with Data Cloud.
Design scalable foundational systems — such as Data Cloud orchestration frameworks and event-driven architectures — that can be adopted across multiple engineering organizations.
Take full ownership of product stability and customer success
leading critical production escalations
root cause analyses (RCAs)
and resolving long-standing technical debt to unlock meaningful customer value.
Multiply the team's impact through technical coaching and mentorship of engineers at all levels (AMTS
fostering a culture of high-standard code reviews and engineering excellence.
Champion Agile practices and continuous improvement
guiding the team toward clear milestones and technically sound incremental delivery in ambiguous environments.
Apply a foundation in service-oriented design
with a consistent habit of documenting and testing code and a focus on building reliable
scalable user experiences.
How You'll Work.
Team & Collaboration
Collaborate effectively with cross-functional stakeholders including Product Management, UX, and Architecture teams.; Demonstrated success leading cross-team technical initiatives and influencing engineering decisions beyond the immediate team.
Communication Scope
Written and verbal communication skills; Ability to influence leadership
Process & Methodology
Guiding the team toward clear milestones and technically sound incremental delivery in ambiguous environments.
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