Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead customer relationships and ensure successful AI adoption for enterprise clients.
- Company: Kavida AI is revolutionising supply chain operations with cutting-edge AI technology.
- Benefits: Enjoy a hybrid work model with flexibility and exciting corporate perks.
- Why this job: Be part of a dynamic startup, shaping the future of AI in manufacturing.
- Qualifications: Experience in customer success or account management, strong communication skills required.
- Other info: Ideal for go-getters eager to build and grow within a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
At Kavida AI, we’re leveraging cutting-edge advancements in AI and LLMs to revolutionize supply chain operations in manufacturing. We’re looking for an Enterprise Customer Support Manager to join our UK team and play a critical role in helping our enterprise customers adopt and succeed with AI agents. This is a hybrid position with the flexibility to work remotely while also collaborating in-person at the office 1-2 days a week. We’re based in Liverpool Street, London.
Objective: Own the post-contract relationship with ultra high-value enterprise customers, ensuring successful deployments, high user adoption, and quantifiable business outcomes.
Critical Focus:
- Over-communicate status and instil trust with key stakeholders.
- Coordinate closely with the Implementation Manager for smooth setup and activation.
- Drive continuous engagement via QBRs and on-site visits.
- Identify expansion opportunities (but pass them to AEs for the actual upsell process).
Responsibilities in Detail:
- Primary Customer Contact: Act as the first point of contact post-sale for all escalations and inquiries. Build deep relationships across various levels (end users, managers, executives).
- Project & User Activation: Collaborate with Implementation Manager to ensure all users are properly onboarded. Develop and monitor user adoption strategies (training, how-to guides, custom workshops). Track usage metrics to confirm that the solution is delivering measurable value.
- Quarterly Business Reviews (QBRs): Schedule and conduct QBRs to present ROI and key performance metrics, gather feedback for product improvements, and align next steps with both executive sponsors and frontline teams.
- On-Site Engagement: Visit client sites weekly (or as needed) to strengthen relationships and gather real-time feedback, resolve issues or concerns face-to-face, and stay attuned to any changes in client priorities.
- Expansion & Upsell Identification: Actively look for new use cases or departmental expansions where the AI agent can bring additional value. Hand off detailed leads and expansion intel to the Account Executive team.
- Proactive Risk Management: Continuously monitor account health indicators (usage data, user sentiment, support tickets). Anticipate potential roadblocks or low adoption signals. Propose and execute remediation plans before issues escalate.
- AI Proficiency: Use AI tools to draft communications, QBR decks, and user adoption strategies more efficiently. Triage routine customer queries for faster response times. Solve strategic problems for customers.
Required Skills & Experience:
- Customer-Facing Experience: Strong background in enterprise customer success or account management. Comfortable managing large, complex accounts with multiple stakeholders.
- Project Management: Skilled in coordinating with cross-functional teams (Implementation, Support, Sales). Excellent organization and documentation abilities.
- Communication & Relationship Building: Confident communicator across all levels (end users to C-level). Willingness to travel on-site weekly and maintain a personal touch.
- AI Tools: Demonstrable skill using ChatGPT (or similar) to accelerate tasks.
If you’ve only worked at a big company and expect to be spoon fed, this role is not for you. We want go-getters that are excited about building, that are hungry for responsibility, that bring great ideas to the table. We want you to want to be our VP of Customer Success in record breaking time.
Customer Success Manager employer: Kavida.ai
Contact Detail:
Kavida.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and LLMs, especially as they relate to supply chain operations. This knowledge will not only help you understand the product better but also demonstrate your commitment to staying ahead in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the customer success and AI sectors. Attend industry events or webinars to connect with potential colleagues and learn from their experiences. This can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to showcase your project management skills by thinking of examples where you've successfully managed complex accounts or projects. Be ready to discuss how you coordinated with cross-functional teams to achieve positive outcomes.
✨Tip Number 4
Demonstrate your communication skills by engaging with the company on social media or through their website. Comment on their posts or share relevant content to show your interest and understanding of their mission and values.
We think you need these skills to ace Customer Success Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in customer success or account management, especially with enterprise clients. Use specific examples that demonstrate your ability to manage complex accounts and build relationships across various levels.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of AI and its impact on supply chain operations, and how your skills align with the responsibilities outlined in the job description.
Showcase Communication Skills: Since the role requires excellent communication abilities, consider including examples of how you've successfully communicated with stakeholders at different levels. Highlight any experience you have with conducting business reviews or managing client relationships.
Demonstrate Proactivity: In your application, provide examples of how you've proactively managed customer relationships or identified expansion opportunities in previous roles. This will show that you are a go-getter who is ready to take on responsibility.
How to prepare for a job interview at Kavida.ai
✨Understand the Company and Its Technology
Before your interview, make sure you have a solid grasp of Kavida AI's mission and the technology they are using. Familiarise yourself with AI and LLMs, especially how they apply to supply chain operations. This will show your genuine interest and help you engage in meaningful conversations.
✨Demonstrate Your Customer Success Experience
Be prepared to discuss your previous experience in customer success or account management. Highlight specific examples where you've successfully managed large accounts, built relationships, and driven user adoption. Use metrics to showcase your impact, as this aligns with their focus on quantifiable business outcomes.
✨Showcase Your Communication Skills
Since the role requires over-communicating status and instilling trust, practice articulating your thoughts clearly and confidently. Be ready to demonstrate how you've effectively communicated with various stakeholders in past roles, from end users to executives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage risks. Prepare scenarios where you've identified potential issues, proposed solutions, and executed remediation plans. This will illustrate your proactive approach to customer success and risk management.
