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For Companies At a Glance
- Tasks: Lead AI integration to enhance customer success and streamline support processes.
- Company: Join a forward-thinking company focused on leveraging AI for customer experience.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation, making a real impact on customer journeys.
- Qualifications: Bachelor’s or Master’s in a relevant field; 5+ years in AI or data science required.
- Other info: Open to global applicants; work from any SYSPRO hub worldwide.
The predicted salary is between 48000 - 72000 £ per year.
The AI Integration Lead: Customer Success is responsible for leveraging AI to enhance the customer journey and improve internal efficiencies across the company. This role will focus on using AI to proactively resolve customer inquiries, streamline support processes, and drive commercial improvement. The AI Integration Lead: Customer Success will play a crucial role in defining strategies for AI integration within customer success operations, ensuring that AI technologies are utilized to optimize customer experiences and operational productivity.
Key Responsibilities
- Lead the integration of AI technologies into customer success operations.
- Develop and implement AI-driven solutions to proactively resolve customer inquiries.
- Define strategies for using AI to enhance internal efficiencies and streamline support processes.
- Collaborate with cross-functional teams to translate AI insights into business value.
- Mentor and lead a team focused on AI-driven customer success initiatives.
- Drive commercial improvement through AI-enhanced customer journey strategies.
Skills, Knowledge and Expertise
Qualifications Required
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. PhD in a relevant field is a plus.
Experience Required
- 5+ years of experience in AI, machine learning, or data science roles, with a focus on customer success or support.
- Proven track record of driving operational improvements and cost reductions within a software organization.
- Experience in leading and mentoring teams focused on AI initiatives.
- Familiarity with customer success operations and commercial improvement strategies.
Skills and Knowledge Required
- Proficiency in programming languages such as Python, R, or Java.
- Deep understanding of machine learning, deep learning, and other AI techniques.
- Experience with AI-driven customer support tools and frameworks.
- Strong knowledge of cloud computing platforms and MLOps practices.
While the job advertisement specifies the UK as the preferred location, we encourage talented individuals from around the globe to apply. This position can be based at any of our global SYSPRO hubs.
AI Integration Lead: Customer Success employer: SYSPRO Proprietary Limited
Contact Detail:
SYSPRO Proprietary Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Integration Lead: Customer Success
✨Tip Number 1
Familiarise yourself with the latest AI technologies and tools relevant to customer success. Being well-versed in AI-driven customer support frameworks will give you an edge during discussions with our team.
✨Tip Number 2
Showcase your experience in leading AI initiatives by preparing specific examples of how you've driven operational improvements in previous roles. This will demonstrate your capability to mentor and lead teams effectively.
✨Tip Number 3
Network with professionals in the AI and customer success fields. Engaging with industry peers can provide insights into best practices and trends, which you can discuss during your interview.
✨Tip Number 4
Prepare to discuss how you would define strategies for AI integration within customer success operations. Having a clear vision on this topic will show us your strategic thinking and alignment with our goals.
We think you need these skills to ace AI Integration Lead: Customer Success
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI, machine learning, and customer success. Use specific examples that demonstrate your ability to drive operational improvements and mentor teams.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about leveraging AI for customer success. Discuss your vision for integrating AI technologies and how it can enhance customer experiences.
Showcase Relevant Projects: Include details of any relevant projects or initiatives you've led that involved AI integration or customer success strategies. This will help illustrate your hands-on experience and expertise.
Highlight Technical Skills: Clearly list your proficiency in programming languages like Python, R, or Java, as well as your understanding of machine learning techniques. Mention any experience with AI-driven customer support tools to strengthen your application.
How to prepare for a job interview at SYSPRO Proprietary Limited
✨Showcase Your AI Knowledge
Make sure to brush up on the latest trends and technologies in AI, machine learning, and data science. Be prepared to discuss specific projects you've worked on that demonstrate your expertise in these areas, especially those related to customer success.
✨Demonstrate Problem-Solving Skills
Since the role focuses on using AI to resolve customer inquiries, think of examples where you've successfully implemented AI solutions to solve problems. Highlight your ability to analyse situations and develop effective strategies.
✨Emphasise Team Leadership Experience
As this position involves mentoring and leading a team, be ready to share your experiences in leadership roles. Discuss how you've guided teams in AI initiatives and the impact of your mentorship on their success.
✨Prepare for Cross-Functional Collaboration
The role requires collaboration with various teams, so be prepared to discuss how you've worked with different departments in the past. Share examples of how you translated AI insights into actionable business value across teams.
