At a Glance
- Tasks: Manage enterprise accounts and drive growth with AI-driven analytics.
- Company: Join ThoughtSpot, a fast-growing AI-powered analytics company.
- Benefits: Enjoy a hybrid work model and continuous learning opportunities.
- Other info: Collaborate across EMEA and engage with diverse stakeholders.
- Why this job: Make an impact in a dynamic environment focused on innovation and customer success.
- Qualifications: Experience in managing complex accounts and leveraging AI for growth.
The predicted salary is between 60000 - 80000 £ per year.
Location: London, ENG, GB. Full‑time, on‑site position.
Responsibilities
- Develop and manage a portfolio of enterprise and major customer accounts across EMEA, focusing on growth, retention and expansion.
- Lead adoption and business outcomes with a consultative, data‑driven approach.
- Manage complex account lifecycles across multiple countries, owning renewals and expansions while driving a land‑and‑expand strategy.
- Act as a consultative partner, aligning ThoughtSpot’s AI‑driven analytics to strategic goals and measurable outcomes.
- Build and maintain executive relationships across regional and global stakeholders, navigating matrixed organizations.
- Leverage generative AI and automation to personalize engagement, tailoring outreach and account strategies.
- Use AI‑driven insights to identify expansion opportunities, adoption gaps and risks.
- Apply advanced analytics for account planning, forecast growth and develop differentiated value propositions.
- Partner with Solution Consultants, Professional Services, Customer Success, Product and Leadership teams to execute data‑informed account strategies.
- Collaborate across multiple EMEA markets while aligning with global initiatives.
- Maintain strategic oversight, ensuring engagements achieve intended ROI.
- Deliver Executive Business Reviews and enablement sessions using data and AI insights.
- Continuously refine strategies via AI‑powered analytics on usage and success metrics.
- Experiment with emerging technologies such as conversational AI, predictive analytics and autonomous agents.
- Travel throughout the EMEA region as needed.
Qualifications
- Proven track record of expanding relationships and driving revenue growth within complex enterprise accounts across EMEA.
- Experience managing and closing large‑scale renewals and expansion opportunities in multinational organizations.
- Experience leveraging AI, automation or advanced analytics to drive customer engagement, retention and growth strategies.
- Demonstrated success managing geographically distributed stakeholders across technical, business and executive levels.
- Strong consultative mindset, mapping customer needs to outcome‑based solutions.
- Ability to navigate diverse cultural, commercial and regulatory environments across EMEA.
- Excellent communication, presentation and relationship‑building skills with the ability to influence senior decision‑makers.
- Ability to navigate complex organizations and drive data‑backed account plans.
- Passion for solving business challenges through modern data, analytics and AI platforms.
- Strong business acumen, curiosity and commitment to continuous learning within evolving AI and analytics landscapes.
- Entrepreneurial mindset with ownership, accountability and a bias for action.
- Advanced technical aptitude to deeply understand analytics platforms, AI‑driven solutions and modern data ecosystems.
- Additional European language skills are a plus.
Mandatory AI Literacy Skills
- Integrate AI into daily workflow to increase productivity and quality.
- Leverage industry‑leading LLMs to automate routine tasks and improve work quality.
- Use AI for research, content creation and document summarization while maintaining ownership of judgment.
- Write effective prompts to elicit accurate and creative results from AI tools.
- Demonstrate curiosity, adaptability and discernment in applying AI versus human judgement.
Benefits
- Opportunity to work in a fast‑growing AI‑powered analytics company.
- Hybrid work model: on‑site 3 days per week.
- Continuous learning resources and training in AI tools and analytics.
- Culture focused on Trust, Customer Obsession and Innovation.
Commercial Account Manager at ThoughtSpot employer: ThoughtSpot
ThoughtSpot is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and customer obsession drive success. Employees benefit from a hybrid work model, continuous learning opportunities in cutting-edge AI tools, and a culture that prioritises trust and collaboration, making it an ideal place for those looking to grow their careers while making a meaningful impact in the analytics space.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Account Manager at ThoughtSpot
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like ThoughtSpot!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Commercial Account Manager at ThoughtSpot
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at ThoughtSpot, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at ThoughtSpot
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with ThoughtSpot’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
