Customer Success Engineer - Data Platform - AI
Role details
Job location
Tech stack
Job description
As a Customer Success Engineering: Data Platform - AI professional, you will play a crucial role in ensuring the successful adoption and value realization of AI solutions post-sale. This role involves working closely with clients to deliver solutions and drive value realization, leveraging expertise in AI solutions to drive customer success. Your primary responsibilities will include:
- Solution Delivery: Ensuring successful adoption and value realization of AI solutions post-sale, driving customer success through effective solution delivery.
- Client Engagement: Collaborating with clients to understand their needs and ensure the AI solutions meet their expectations, fostering a strong client relationship.
- Value Realization: Focusing on delivering value to clients through the effective use of AI solutions, ensuring they achieve their desired outcomes.
Requirements
- AI Solution Delivery: Experience with delivering AI solutions post-sale, ensuring successful adoption and value realization for clients. This involves driving customer success through effective solution delivery and collaboration with clients.
- Client Collaboration: Experience working with clients to understand their needs and ensure AI solutions meet their expectations, fostering strong client relationships.
- Value Realization: Experience focusing on delivering value to clients through the effective use of AI solutions, ensuring they achieve their desired outcomes.
- AI Expertise: Experience with AI solutions, leveraging this expertise to drive customer success and deliver value to clients.
- Solution Implementation: Experience with implementing AI solutions, ensuring successful adoption and value realization for clients.
Preferred technical and professional experience
- Advanced AI Knowledge: Experience with AI solutions, leveraging expertise to drive customer success and deliver value to clients. - Technical Implementation: Experience with implementing AI solutions, ensuring successful adoption and value realization for clients. - Solution Optimization: Experience focusing on delivering value to clients through the effective use of AI solutions.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.