At a Glance
- Tasks: Drive sales by managing accounts and winning new customers in a fast-paced environment.
- Company: Join ThoughtSpot, a leader in AI-powered analytics transforming data access for everyone.
- Benefits: Enjoy competitive pay, hybrid work options, and opportunities for personal growth.
- Other info: Diverse and inclusive culture focused on collaboration and continuous improvement.
- Why this job: Be part of an innovative team using AI to revolutionise the sales process.
- Qualifications: 1-3 years in tech sales, strong communication skills, and a passion for learning.
The predicted salary is between 29700 - 36300 £ per year.
Due to growth, we are looking for a Commercial Account Executive. The right candidate for this position will have a demonstrated history of success in selling software & services, preferably in the Business Intelligence, Data Warehousing, or Analytics space. The ability to work independently in a rapidly growing environment is important, as is the ability to work with an early-stage technical product that provides real value to both technical and non-technical audiences. Value-based sales approach and "first on the ground" experience is a major advantage.
The Commercial Account Executive will develop and manage a territory of "Digital Native" Mid Market accounts, with a primary focus on winning new ThoughtSpot customers. Pipeline generation is the lifeblood of this sales role, therefore we seek those who embrace the work of prospecting and make it a core of their business activities already. You will spend your time developing new opportunities, establishing trust and credibility with end-users, influencers, and decision makers at all levels of your assigned accounts, conducting product demonstrations in person and via web-based technologies, and managing complex sales cycles with these very large companies.
AI Mindset
- Leverage AI-powered sales tools to efficiently identify, prioritize, and engage a broad portfolio of commercial accounts, maximizing pipeline velocity and conversion rates.
- Use AI-driven analytics to rapidly develop and iterate on value propositions that address the specific needs and challenges of each segment within your territory.
- Employ AI to personalize messaging and outreach at scale, ensuring relevant and timely communications across a diverse customer base.
- Collaborate with marketing and customer success teams to share AI-derived insights and optimize the customer journey from initial contact through renewal and expansion.
- Continuously experiment with emerging AI tools to streamline sales processes, improve forecasting accuracy, and drive consistent quota attainment in a fast-paced environment.
What You Bring
- You have 1-3 years quota-carrying experience in a technology sales environment; prior inside sales experience a plus.
- Strong verbal and written communication skills.
- Ability to work independently while teaming up with business partners (internal and external) to sell technology solutions priced at $50,000+.
- Well-spoken and poised; ability to command the attention of a room and bring a high level of energy.
- People consider you a leader and you are adept at influencing others to work with you on behalf of the customer.
- While operating at a high level already, you seek to continue your career growth and view training and coaching as a benefit to your goals.
- Ability to track sales metrics and performance as a way to aid personal improvement.
- Experience leveraging AI and automation tools to efficiently manage and prioritize a large book of business, drive pipeline growth, and accelerate deal cycles.
- Demonstrated ability to quickly synthesize AI-driven insights to tailor messaging and value propositions for diverse customer segments.
- A growth mindset with a passion for experimenting with new technologies, learning quickly, and adapting to evolving sales processes.
We believe strongly in personal development for all members of our team, therefore we are only considering candidates interested in career growth and continuous learning.
Preferred
- Bachelor's degree (or higher).
Hybrid Work at ThoughtSpot
Spotters are expected in-office 3 days per week to experience the energy of their local office. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
Remote Work at ThoughtSpot
This role is available as a remote position.
Onsite Work at ThoughtSpot
Spotters assigned to an office are encouraged to experience the energy of their local office with an in-office expectation of 5 days per week.
About ThoughtSpot
The world’s most innovative companies turn to ThoughtSpot’s AI-Powered Analytics to put data in the hands of everyone, from the C-suite to the frontline. With simple, natural language search and AI, anyone can ask questions, discover insights, and act with confidence. Unlike legacy tools that sacrifice performance for complexity, ThoughtSpot is intuitively designed for every business user while being built to handle the most complex, large-scale data, wherever it resides. This unique combination of speed and simplicity is why enterprise leaders trust ThoughtSpot to transform decision-making into a truly data-driven culture.
At ThoughtSpot, we’re a curious, data-driven bunch. We believe the world works better when everyone has access to facts. That’s why we build products that make asking and answering data questions as natural as having a conversation.
Mandatory And Required Skills For All ThoughtSpot Roles
- Spotters are expected to demonstrate AI literacy and workflow integration to include the ability to comfortably and confidently integrate artificial intelligence into their daily workflow to increase productivity and quality.
- Hands-on experience to leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality.
- Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions.
- Write effective prompts to get the most accurate and creative results from AI tools.
Spotters are expected to exemplify these key traits and AI Mindset:
- Curiosity in exploring new AI tools.
- Adaptability to quickly learn and implement new, emerging AI technologies.
- Critical thinking to know when to identify when AI should be used versus when human judgement is necessary.
This combination of curiosity, adaptability, and discernment defines the AI mindset, and it’s required for every role at ThoughtSpot.
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. All Spotters are expected to experiment with ThoughtSpot’s AI tools (like Spotter and SpotterViz) and leading industry LLMs to streamline workflows, enhance output, and uncover new insights. Whether drafting content, analyzing data, or summarizing documents, AI is a daily partner. We value curiosity, openness to learning, and thoughtful application of AI to create real value. Training and resources are provided so every Spotter can confidently create with AI.
ThoughtSpot for All
At ThoughtSpot, diverse teams build better products. Complex data problems need many perspectives, not just one. We welcome different backgrounds, identities, and experiences, and we work to create a place where everyone can be themselves and do their best work. If this role excites you and you believe you’re a strong match, we encourage you to apply.
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 - this balance-for-the-better philosophy is key to our success. When paired with our culture of Trust, Customer Obsession, Innovation and Intensity, ThoughtSpot cultivates a respectful culture that pushes norms to create world-class products. If you’re excited by the opportunity to work with some of the brightest minds in the business and make your mark on a truly innovative company, we invite you to read more about our mission, and apply to the role that’s right for you.
Commercial Account Executive employer: Next Legacy Partners
At LaunchDarkly, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters creativity and collaboration. As a Senior EMEA Marketing Manager, you will have the opportunity to shape innovative marketing strategies while working closely with sales teams across diverse European markets. Our commitment to employee growth is reflected in our supportive environment, where your contributions are valued, and your professional development is encouraged.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Account Executive
✨Get to Grips with Data Visualisation Tools
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✨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 Next Legacy Partners!
✨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 Executive
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 Next Legacy Partners, 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 Next Legacy Partners
✨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 Next Legacy Partners’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.