Job Title:  Customer - CS&D - Manager - Conversational AI

Key Responsibilities / requirements are as below:

• Lead the end-to-end implementation of Conversational AI bots within Salesforce, ensuring seamless integration with CRM and other enterprise systems.
• Oversee the design, development, and deployment of AI-powered chatbot solutions.
• Work across business teams to enhance customer engagement and identify processes automations.
• Collaborate with stakeholders, including business leaders and other developers to define chatbot use cases, workflows, and success metrics.
• Provide technical and strategic guidance for AI-driven automation initiatives, ensuring alignment with business goals and customer experience standards.
• Manage project timelines and resources effectively while maintaining high-quality deliverables.
• Stay up to date with advancements in AI, NLP, and Salesforce technologies to drive continuous innovation.
• Ensure compliance with data security, privacy regulations, and best practices in AI governance.
• Train and mentor team members, fostering a culture of collaboration and knowledge-sharing.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or a related field.
• 8+ years of experience in implementing Conversational AI solutions, with a focus on Salesforce.
• Strong expertise in AI/ML technologies, NLP frameworks, and chatbot development platforms.
• Hands-on experience with Salesforce Service Cloud and/or Einstein Bots.
• Proven ability to integrate chatbots with Salesforce APIs, workflows, and third-party applications.
• Experience managing AI-driven automation projects, from ideation to deployment.
• Strong leadership, communication, and stakeholder management skills.
• Knowledge of Agile methodologies and DevOps practices.

Preferred Qualifications:

• Salesforce certifications (e.g., Salesforce Certified AI Associate, Salesforce Certified Platform Developer, or Salesforce Consultant Certifications).
• Experience with cloud-based AI solutions such as AWS Lex, Google Dialogflow, or Microsoft Bot Framework.
• Familiarity with data analytics and reporting tools to measure chatbot performance.