Enterprise Account Executive

jobs.frontdoordefense.com - Jobboard; Colorado; On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision benefits

Job summary

ThoughtSpot is seeking an experienced Enterprise Account Executive in Colorado. This role is crucial in driving sales of AI analytics products, requiring a proven track record in enterprise sales, particularly within the Business Insights & Analytics sector.

The ideal candidate will manage complex deals and engage effectively with C-level executives, showcasing AI-driven solutions that address unique client challenges. Additional benefits include equity and comprehensive health coverage.

Qualifications

• Demonstrated history of success in enterprise sales.
• Ability to work independently in a growing environment.
• Experience in the Business Insights & Analytics Industry.

Responsibilities

• Build and maintain active deal pipeline and quota coverage.
• Manage complex deal cycles from lead origination to closing.
• Leverage AI tools to personalize customer engagements.

Skills

Sales quota achievement

Business Intelligence sales

AI/ML product team partnership

Complex sales cycles

Building relationships

Tools

Salesforce

LinkedIn

Clari

Job description

Enterprise Account Executive

Own the Enterprise Account Executive strategy and pipeline for ThoughtSpot's AI analytics products

Location: East Portal Distributed Camping Area, Colorado, United States

Compensation: $110,000 - 150,000 USD / year

About The Role

We are looking for an experienced Enterprise Account Executive to join our team. The right candidate for this position will have a demonstrated history of success and quota over‑achievement selling to enterprise organizations (preferably selling software applications, but software sales not necessary for consideration for role). Ideally, you have sold Business Intelligence, Data Warehousing, or Analytics applications and/or are familiar with the data market.

The ability to work independently in a rapidly growing environment is important. We also value the ability to evangelize an evolving product that provides real value to both technical and non‑technical audiences.

What You’ll Do:

• Building and maintaining active deal pipeline and quota coverage (experience working with tools such as LinkedIn, Salesforce, and Clari is a plus)
• Managing complex deal cycles, from lead origination to closing and expansions
• Consistently closing net‑new business and expansions by leveraging a “land‑and‑expand” strategy
• Leverage generative AI and advanced automation to personalize customer engagements at scale, using real‑time data to dynamically tailor messaging, demos, and proposals
• Collaborating with customers, partners, and the larger ecosystem in a consultative sales process
• Continuously experiment with emerging tools (e.g., conversational AI, autonomous agents, predictive analytics, and AI‑powered deal coaching) and share best practices across the organization
• Harness AI‑driven insights to craft highly personalized messaging that resonates with each prospect’s unique business challenges, industry context, and decision‑making priorities
• Utilize advanced AI tools to analyze customer data, market trends, and competitive landscapes, enabling the rapid development of differentiated value propositions tailored for each account
• Maintaining strategic oversight of assigned accounts ensuring engagements achieve their intended outcomes
• Continuously refine and optimize sales messaging by leveraging AI‑powered analytics on engagement metrics, ensuring communications are data‑informed and outcome‑focused

What You Bring:

• A hunter’s mentality and a consistent track record of achieving and/or overachieving your sales quota
• Experience of selling within the Business Insights & Analytics Industry is a must have for this role
• Experience partnering with AI/ML product teams or participating in early‑access / beta programs for new AI technologies
• Track record of driving measurable results through the creative application of AI and automation in enterprise sales
• Experience of orchestrating complex, direct and indirect sales cycles with multiple technical and business stakeholders, with a particular focus on SaaS and disruptive technologies
• Track record of selling net‑new business and expansion opportunities, along with a focus on excellence in pipeline generation & opportunity progression
• Track record in building champions and nurturing/developing relationships
• Strong business acumen coupled with experience in MEDDICC and/or Challenger sales methodologies as well as a willingness to learn and the discipline to work on a proven sales process from beginning to end
• You have proven ability to engage both high and wide in accounts and can engage effectively with C‑level and business line executives

The estimated annual base salary range for this role is $110,000 – $150,000 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 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.

AI Mindset for All Spotters

Spotters are expected to exemplify these key traits and an AI mindset:

• Curiosity in exploring new AI tools
• Adaptability to quickly learn and implement new, emerging AI technologies
• Critical thinking to know when AI should be used versus when human judgement is necessary