Commercial Account Executive
$50kThoughtSpot
Commercial Account Executive
Due to growth, we are looking for a Commercial Account Executive to join our team at ThoughtSpot. 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 major advantage.
Location(s): New York or Chicago
The Commercial Account Executive will develop and manage a territory of "Digital Native" Commercial 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.
What You Bring:
- You have 2+ years quota carrying experience in a technology sales environment; prior inside sales experience a plus
- Strong verbal and written communications 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
- 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)
The estimated annual range for this role is $ 115k $165k per year. Actual compensation may vary and will be determined based on permissible, non-discriminatory factors such as skills, qualifications, experience, and location of the selected candidate.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits.
Mandatory and Required Skills for All ThoughtSpot Roles
Spotters are expected to demonstrate AI literacy and workflow integration to include to 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.
Hybrid Work at ThoughtSpot
This office-assigned role is available as a hybrid position, reporting to the office in US - Chicago.
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. This approach balances the benefits of in-person collaboration and peer learning with the flexibility needed by individuals and teams.
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.
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.
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