Field Enterprise Account Executive Data & Analytics

We are seeking a results-driven Enterprise Account Executive to join our growing team and lead strategic sales efforts within the enterprise data ecosystem in territory. This role is ideal for high-performing professionals with a proven track record of selling into Fortune 2000 companies and a deep understanding of the data, analytics, and cloud warehousing landscape.

As a Wisdom seller, you will be responsible for owning the full sales cycle from prospecting through close and post-sale expansion. You will also play a key role in managing partner co-sell motions in territory, particularly with ecosystem leaders such as Snowflake, Databricks, AWS, GCP, and regional SIs.

Key Responsibilities

• Enterprise Sales Execution

• Develop and execute strategic account plans targeting enterprise customers across multiple verticals.

• Own the full sales cycle: qualification, discovery, demo/pilot coordination, proposal development, negotiations, and closing.

• Navigate complex enterprise procurement processes with multiple stakeholders and long sales cycles.

1. Industry Expertise and Solution Selling

2. Serve as a subject matter expert in the domains of business intelligence, cloud data warehousing, and data infrastructure, and Ai.

3. Educate customers on how our solutions delivers ROI through improved data access, analysis, and decision-making.

4. Tailor value propositions to key personas (CIO, CDO, Data Engineering Leads, Analytics Executives).

1. Pipeline Management & Forecasting

2. Accurately maintain CRM hygiene and forecasting

3. Consistently exceed quarterly and annual quota targets.

Required Qualifications

• 5+ years of quota-carrying enterprise sales experience in the data or analytics ecosystem.

• Demonstrated success selling solutions like BI platforms (e.g., Tableau, Power BI, Looker, Sigma), CDWs (e.g., Snowflake, Redshift, BigQuery), or adjacent data technologies.

• Strong network within large enterprises 

• Experience in co-selling with technology and SI partners.

• Excellent storytelling, consultative selling, and executive communication skills.

• Comfortable operating in a high-growth, fast-paced startup environment.

• You must want to BUILD, not be told what to do.

Preferred Qualifications

• Prior experience working at or selling alongside companies such as Snowflake, Databricks, Fivetran, dbt Labs, or similar.

• Familiarity with modern data stack principles and architectures.

• Technical fluency sufficient to engage in data engineering and architecture discussions.