Senior Solution Manager - Conversational AI (REF3626N)

As a Senior Solution Manager - Conversational AI at Deutsche Telekom IT Solutions, you will oversee the implementation and post-sales advisory of CAI solutions. This includes guiding the introduction of voicebots, conducting client workshops, and developing user cases. You will also be required to translate business requirements into technical specifications, ensuring scalability and high-quality service delivery.

To excel as a Senior Solution Manager - Conversational AI at Deutsche Telekom IT Solutions, candidates should possess at least three years of experience as a Solution Engineer or in a similar role within the Conversational AI or SaaS sectors. Proficient English and German communication skills (B2 level) are essential, along with a strong background in consultancy, customer management, and project management.

The work culture at Deutsche Telekom IT Solutions is dynamic and collaborative, focusing on innovation and continuous improvement. As a Senior Solution Manager - Conversational AI, you will engage with multidisciplinary teams, encourage creativity, and foster an environment where new ideas thrive. The company values proactive individuals who are motivated to drive projects end-to-end.

In the role of Senior Solution Manager - Conversational AI, you will work on diverse projects aimed at enhancing user interactions through AI technologies. This includes designing and implementing voicebot solutions, participating in workshops to define user cases, and advising clients on implementing best practices in conversational design.

Yes, Deutsche Telekom IT Solutions offers remote work options for the Senior Solution Manager - Conversational AI role, although it is limited to applicants residing within Hungary due to European taxation regulations. This flexibility allows you to manage your work environment while contributing to innovative projects.

When answering this question, showcase specific projects you have worked on that include Conversational AI. Highlight your role in the implementation process, any challenges you faced, and how you overcame them. Mention the tools and technologies you utilized, along with the impact of your work on end-user experience.

Discuss your strategies for task prioritization, such as using project management tools to track deadlines and milestones. Explain how you assess the urgency and importance of each task and your techniques for keeping stakeholders informed throughout the process.

Emphasize your interpersonal skills and techniques for building rapport with clients. You could mention conducting workshops, asking insightful questions, and ensuring you listen actively to fully grasp their requirements.

Talk about your approach to user-centric design, referencing methodologies such as user testing and feedback loops. Highlight the importance of understanding user journeys and how you incorporate user feedback into the development lifecycle.

Use the STAR method (Situation, Task, Action, Result) to describe a specific technical issue you encountered. Explain your thought process, the actions taken to resolve the problem, and the successful outcome that followed.

Detail the project management tools you are familiar with, such as Azure DevOps or JIRA. Provide examples of how these tools have helped you manage timelines, track progress, and communicate with team members effectively.

Discuss your commitment to continuous learning. You could mention following industry publications, attending webinars, and networking with other professionals to stay current on advancements in the field of Conversational AI.

Explain how you tailor your communication style to suit the needs of different teams while maintaining clarity. Provide examples of how you have effectively conveyed technical information to non-technical colleagues.

Share a memorable workshop experience, outlining your preparation, how you engaged attendees, and the objectives achieved. Make sure to mention feedback received and lessons learned for future workshops.

Discuss your passion for mentoring and the techniques you employ to support junior team members. This could include one-on-one coaching sessions, providing constructive feedback, and creating opportunities for hands-on learning.