Hybrid Enterprise Solutions Engineer — Data & AI

ThoughtSpot

Chicago (IL)

On-site

USD 121,000 - 173,000

Full time

7 days ago
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Job summary

ThoughtSpot is seeking a Solutions Engineer in Chicago to support our technical sales efforts. You will understand customers’ analytic goals, demonstrate our AI-powered analytics platform, and help prospects realize business value.

The role requires collaboration with sales, hands-on data exploration, and the ability to work with multiple enterprise customers in a fast-moving environment. Ideal candidates have strong SQL, data modeling knowledge, and experience with BI tools (Tableau, Looker,

Qualifications

  • 3–5 years of experience in technical sales or solutions engineering
  • Strong understanding of BI, data warehousing, data engineering or analytics
  • Consultative sales approach and ability to work independently in a fast-growing environment
  • Ability to present business value to executives and differentiate the product

Responsibilities

  • Understand customers’ analytic goals and challenges through discovery
  • Present and articulate business value of ThoughtSpot to all levels
  • Demonstrate ThoughtSpot to differentiate from competition
  • Define and conduct product evaluations with customers using their data
  • Work as a team and continually learn new knowledge
  • Manage multiple customer engagements simultaneously
  • Be self-motivated and take initiative
  • Partner with sales for account strategy
  • Build trusted advisor relationships with customer champions and Account Executives

Skills

SQL
Data modeling
Verbal & written communication
Sales/customer-facing experience

Tools

Snowflake
Redshift
BigQuery
Synapse
SQL Server
Oracle
MicroStrategy
Tableau
Looker

Job description

ThoughtSpot is seeking a Solutions Engineer in Chicago to support our technical sales efforts. You will understand customers’ analytic goals, demonstrate our AI-powered analytics platform, and help prospects realize business value.

The role requires collaboration with sales, hands-on data exploration, and the ability to work with multiple enterprise customers in a fast-moving environment. Ideal candidates have strong SQL, data modeling knowledge, and experience with BI tools (Tableau, Looker,

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