At a Glance
- Tasks: Drive AI adoption and build relationships with Fortune 5000 accounts.
- Company: Join a leading analytics platform focused on innovation and customer success.
- Benefits: Hybrid work model, competitive salary, and a culture of collaboration.
- Other info: Embrace a culture of trust and innovation while working with cutting-edge AI technologies.
- Why this job: Make a real impact by transforming data insights into actionable strategies.
- Qualifications: 5+ years in a technical customer-facing role with strong analytics knowledge.
The predicted salary is between 60000 - 80000 £ per year.
The Enterprise CSM is a unique blend of a technical expert and strategic relationship builder. You will drive adoption within a portfolio of Fortune 5000 accounts, moving beyond traditional BI to help customers deploy AI Agents and Embedded Analytics. You’ll be as comfortable discussing API authentication with a developer as you are discussing ROI with a CDO.
Responsibilities
- Account Strategy: Be part of a focused team managing multiple Fortune 5000 accounts, responsible for driving adoption, tying usage to business problems, and building expansion opportunities through passive selling.
- Champion Agentic AI: Partner with customers to move from "dashboards" to "agents," helping them leverage ThoughtSpot Agents and LLM‑based workflows to automate data insights.
- Architect & Advise: Guide technical stakeholders through the development lifecycle of building high‑performance data apps using our APIs and SDKs, while ensuring their data stack (Snowflake/Databricks/BigQuery) is optimized for AI‑driven search.
- Voice of the Customer: Act as the primary technical point of contact, communicating requirements and use cases in a way that is actionable for ThoughtSpot’s Product, Engineering, and Marketing teams.
- Relationship Management: Foster robust relationships through proactive champion building, acting as the bridge between human business needs and complex data technicalities.
- Bridge Business and Technology: Translate customer business goals into technical requirements and, conversely, explain the business value of technical features to stakeholders.
- Technical Enablement: Run advanced workshops and live demos that showcase the "Art of the Possible" with AI, embedding, and agentic analytics.
What Sets You Apart
- Consultative Problem Solver: You have a knack for understanding complex business challenges and prescribing elegant technical solutions.
- Technically Curious: You have a deep passion for the data space and are constantly learning about new technologies like LLMs and Generative AI.
- Incredible Communicator: You can command a room of data architects and then pivot to explain a technical concept in simple terms to a business leader.
- Proactive & Eager to Help: You are a natural problem solver who enjoys diving in to help customers with their initial technical hurdles.
- Language Skills: Fluent in English and able to speak a European language (e.g., French, Spanish, German) in a business environment.
What You Bring
- 5+ years in a customer‑facing technical role (Technical CSM, Solutions Architect, or Sales Engineer) within the Data/SaaS space.
- Analytics & AI Depth: Strong knowledge of the modern data stack (Snowflake/BigQuery/Databricks) and an understanding of LLM‑based applications or AI Agents.
- Developer Literacy: Proficiency in SQL and familiarity with JavaScript/TypeScript frameworks (React, Angular, or Vue) for supporting embedded use cases.
- Integration Knowledge: Comfort discussing REST APIs, webhooks, and security protocols like SAML/OIDC.
- Consultative Edge: The ability to translate complex technical "how‑to" into strategic "why‑it‑matters" for executive stakeholders.
- Master’s/Bachelor’s Degree preferred but not required.
Mandatory and Required Skills for All ThoughtSpot Roles
Spotters are expected to demonstrate AI literacy and workflow integration, including a comfortable and confident ability to integrate artificial intelligence into their daily workflow to increase productivity and quality. Hands‑on experience leveraging AI tools (industry‑leading LLMs) to increase productivity, automate routine tasks, and improve work quality is required. Spotters should be able to write effective prompts, maintain ownership of judgment in AI‑generated results, and identify when AI should be or should not be used versus human judgement.
AI Mindset for All Spotters At ThoughtSpot
We believe AI is a necessary and essential part of how we work. Every role, across every team, is expected to be fluent and comfortable with using AI to do their best work. Spotters are required to experiment with ThoughtSpot’s AI tools (Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights.
Hybrid Work at ThoughtSpot
This office‑assigned role is available as a hybrid position, reporting to the office in UK – London. Spotters assigned to an office are encouraged to experience the energy of their local office with an in‑office expectation of 2–3 days per week, balancing collaboration and flexibility.
What Makes ThoughtSpot a Great Place to Work
ThoughtSpot is the Agentic Analytics Platform that empowers every enterprise to transform insights into action on a mission to make the world more fact‑driven. We hire people with unique identities, backgrounds, and perspectives, fostering a culture of Trust, Customer Obsession, Innovation, and Intensity. Our culture promotes respect, collaboration, and a balance of in‑person teamwork with flexible work arrangements.
Enterprise Customer Success Manager employer: ThoughtSpot EMEA Ltd.
ThoughtSpot is an exceptional employer that champions a culture of innovation and collaboration, making it an ideal workplace for an Enterprise Customer Success Manager. With a strong focus on employee growth, we offer opportunities to engage with cutting-edge AI technologies while fostering meaningful relationships with Fortune 5000 clients. Our hybrid work model in London allows for a balanced approach to teamwork and flexibility, ensuring that our employees thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Enterprise Customer Success Manager
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Enterprise Customer Success Manager role.
✨Tip Number 2
Show off your skills! Prepare for interviews by running through potential scenarios where you can demonstrate your technical expertise and consultative problem-solving abilities. Be ready to discuss how you've tackled complex business challenges in the past.
✨Tip Number 3
Research the company inside out! Understand ThoughtSpot’s products, culture, and values. This will help you tailor your conversations and show that you're genuinely interested in being part of the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re keen on joining us at ThoughtSpot and ready to dive into the world of AI-driven analytics.
We think you need these skills to ace Enterprise Customer Success Manager
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Enterprise Customer Success Manager role. Highlight your experience with Fortune 5000 accounts and your technical skills in data analytics and AI. We want to see how you can bridge the gap between business needs and tech solutions!
Showcase Your Communication Skills:Since this role involves interacting with both technical and non-technical stakeholders, demonstrate your incredible communication skills in your application. Use clear language and examples that show how you've successfully explained complex concepts to different audiences in the past.
Highlight Your Technical Expertise:Don’t shy away from showcasing your technical knowledge! Mention your familiarity with APIs, SQL, and the modern data stack like Snowflake or BigQuery. We’re looking for someone who can comfortably discuss these topics, so let your expertise shine through.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining the StudySmarter team!
How to prepare for a job interview at ThoughtSpot EMEA Ltd.
✨Know Your Tech Inside Out
As an Enterprise Customer Success Manager, you'll need to be comfortable discussing technical details like API authentication and data stacks. Brush up on your knowledge of Snowflake, Databricks, and BigQuery, and be ready to explain how these technologies can solve business problems.
✨Master the Art of Communication
You’ll be talking to both technical stakeholders and business leaders, so practice explaining complex concepts in simple terms. Prepare examples of how you've successfully bridged the gap between business needs and technical solutions in the past.
✨Showcase Your Problem-Solving Skills
Be ready to discuss specific challenges you've faced in previous roles and how you approached them. Highlight your consultative problem-solving approach and how it led to successful outcomes for your clients.
✨Demonstrate Your Passion for AI
Since this role involves leveraging AI tools, share your experiences with AI technologies and how you've integrated them into your work. Show enthusiasm for learning about new advancements in the field and how they can benefit customers.