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Enterprise Account Executive

Wisdom AISan Francisco
On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Key Responsibilities:Enterprise Sales Execution: Craft and implement strategic account plans aimed at enterprise clients across diverse sectors. Manage the complete sales cycle: qualification, discovery, demo coordination, proposal creation, negotiations, and closing. Effectively navigate complex procurement processes involving multiple stakeholders. Industry Expertise and Solution Selling: Act as a subject matter expert in business intelligence, cloud data warehousing, data infrastructure, and AI. Guide customers on maximizing ROI through enhanced data access and analysis. Pipeline Management & Forecasting: Maintain precise CRM records and forecasts, consistently surpassing quarterly and annual sales targets. Required Qualifications:5+ years of quota-carrying sales experience in the data or analytics domain. Proven success in selling solutions like BI platforms (e.g., Tableau, Power BI), and cloud data warehouses (e.g., Snowflake, Redshift). Strong industry connections within large enterprises and experience in co-selling with technology partners. Exceptional storytelling and consultative selling abilities.

About the job

Join our dynamic team at Wisdom AI as an Enterprise Account Executive. This pivotal role is designed for high-achieving sales professionals who excel in driving strategic sales initiatives within the enterprise data ecosystem. You will leverage your expertise to engage with Fortune 2000 companies, utilizing your comprehensive understanding of data, analytics, and cloud warehousing solutions. As an integral part of our sales team, you will manage the entire sales process from prospecting to closing and post-sale expansion, while also facilitating partner co-selling activities with key industry players such as Snowflake, Databricks, AWS, and GCP.

About Wisdom AI

Wisdom AI is at the forefront of the data and analytics revolution, delivering innovative solutions that empower organizations to harness the full potential of their data. We are committed to fostering a culture of collaboration and excellence.

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