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- Tasks: Build strong customer relationships and ensure they get the most from our AI platform.
- Company: Join a world-leading data and analytics AI platform in a fast-growing, inclusive environment.
- Benefits: Enjoy flexible working, private healthcare, stock options, and a meritocratic culture.
- Why this job: Be a trusted advisor, drive innovation, and make a real impact with cutting-edge technology.
- Qualifications: Bachelor's degree preferred; strong communication and organisational skills required.
- Other info: This role is hybrid, requiring 2 days in the London office.
The predicted salary is between 36000 - 60000 £ per year.
World-leading advanced data and analytics AI platform is searching for a Customer Success Manager to join their expanding team in London (hybrid–2 days p/w). The successful candidate will be responsible for developing deep relationships with customers to ensure value is delivered in order to identify expansion and renewal opportunities.
We’re looking for a commercially minded person who has a familiarity with modern data ecosystems. Working with your wider team, you’ll help customers harness the power of AI and large language models (LLMs) to build intelligent agents and automated workflows that accelerate decision-making and innovation by leveraging their data ecosystems.
We’re looking for a high achiever that will be seen as a trusted advisor to core customers, delivering exceptional client satisfaction through the maintenance of strong customer relationships.
Responsibilities- Become knowledgeable of solutions and service offerings, including SaaS business solutions, professional services and how we support our customers.
- Manage renewal commercials, quoting, negotiation and ensure value is positioned in subscriptions.
- Manage customer relationships and become the trusted advisor for the customer to work with for within data, technical and business functions.
- Build and rollout adoption plans with customer stakeholders to grow usage within their business.
- Work to ensure customer satisfaction with the product by anticipating their needs, understanding the overall vision of their company and understanding the role the platform can play in supporting them.
- Expand current customer accounts through upsell opportunities of licences and services.
- A Bachelor's degree (or equivalent) from a top-tier university preferred.
- A professional with strong organisational, and personal skills to successfully communicate and negotiate with internal and external customers.
- Some technical experience working with data technologies, big data, BI and AI tools.
- Maintain accurate, effective client communication with data leaders and business executives.
- High mental agility to manage and adapt to customer objectives and situations, balanced with company objectives.
- Ability to manage concurrent deadlines and projects to completion with a high level of diligence.
- Excellent communication, written, presentation, and negotiation skills sufficient for working with senior business executives.
- Self-driven, motivated and results oriented.
- Manage multiple priorities – proven time management skills to manage multiple priorities across numerous accounts (30-40).
- You should be able to connect effectively with data and business executives in $50m-$5bn revenue companies.
- A strong ability to work in concert with sales and technical specialists on account engagements.
- Any European language skills (German, Italian, Spanish, French) would be a plus, but not a must.
- A generous compensation/OTE package on offer.
- Meritocratic working environment and strong career progression opportunities.
- Private healthcare, generous pension.
- Employee stock options.
- A fast growth, exciting business with an open and inclusive culture.
- Continuous learning and development.
- Great offices and flexible working.
This position is open to candidates eligible for working in the United Kingdom. No sponsorship is on offer at this time.
Customer Success Manager (data, AI) (London Area) employer: Placed
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Manager (data, AI) (London Area)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data ecosystems. Understanding how large language models (LLMs) work and their applications in business will help you engage more effectively with potential customers.
✨Tip Number 2
Network with professionals in the data and AI space. Attend industry events, webinars, or local meetups to connect with others who share your interests and may provide insights into the role or company culture.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully managed customer relationships in the past. Highlight your ability to act as a trusted advisor and how you've driven customer satisfaction and growth.
✨Tip Number 4
Research the company’s specific products and services. Being knowledgeable about their offerings will not only impress during discussions but also allow you to articulate how you can add value to their customer success initiatives.
We think you need these skills to ace Customer Success Manager (data, AI) (London Area)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Customer Success Manager position. Tailor your application to highlight how your skills and experiences align with these requirements.
Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience you have in customer success, data technologies, or AI tools. Use specific examples to demonstrate your ability to manage customer relationships and drive satisfaction.
Showcase Communication Skills: Since excellent communication is key for this role, ensure your application reflects your strong written and verbal skills. Consider including examples of successful negotiations or presentations you've conducted in the past.
Personalise Your Cover Letter: Craft a personalised cover letter that addresses the company directly. Mention why you are interested in their mission and how you can contribute to their goals, particularly in helping customers leverage AI and data solutions.
How to prepare for a job interview at Placed
✨Understand the Company and Its Products
Before your interview, make sure to research the company's data and AI solutions thoroughly. Familiarise yourself with their SaaS offerings and how they support customer success. This knowledge will help you demonstrate your genuine interest and ability to engage with potential clients.
✨Showcase Your Relationship-Building Skills
As a Customer Success Manager, building strong relationships is key. Prepare examples from your past experiences where you've successfully managed client relationships or resolved conflicts. Highlight your ability to be seen as a trusted advisor, which is crucial for this role.
✨Demonstrate Technical Knowledge
Since the role involves working with data technologies and AI tools, brush up on your technical knowledge. Be ready to discuss how you've used similar technologies in previous roles and how you can leverage them to help customers achieve their goals.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and adaptability. Think of situations where you've had to manage multiple priorities or adapt to changing customer needs. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.
