Drimva

Salesforce

Customer Success Manager – Tableau

$123K–$203K

Illinois - Chicago +5 · Office - Flexible · Manager · Full-time · Posted Sep 17, 2026

Location
Illinois - Chicago
Georgia - Atlanta
Washington - Seattle
Indiana - Indianapolis
Texas - Austin
Texas - Dallas
Experience
3+ years of relevant industry expertise in Customer Success, SaaS platform use, or related fields; 3+ years supporting Tableau customers.
Visa sponsorship
Legal authorization to work in the U.S. is required. Company visa sponsorship is not available for this position at this time.

About the job

Provides strategic and technical guidance to Signature Success customers, driving Tableau adoption, customer value, platform health, and renewal and expansion outcomes.

What you'll do

  • Coordinate Signature deliverables, manage customer relationships, and align business value with technical goals.
  • Drive Tableau adoption through enablement, usage reviews, dashboard best practices, and risk escalation.
  • Use AI agents and AI-driven analysis to automate routine customer-success tasks and identify emerging concerns.

What they ask for

  • 3+ years of relevant industry expertise in Customer Success, SaaS platform use, or related fields.
  • 3+ years supporting customers using Tableau, with understanding of how Tableau connects to Salesforce data.
  • Working knowledge of Tableau Desktop, Tableau Cloud/Server, and Tableau Prep.
  • Legal authorization to work in the U.S.

Nice to have

  • Multiple Tableau certifications (Desktop + Server/Cloud).
  • Experience supporting enterprise Tableau deployments; understanding of data architecture and semantic layers; or knowledge of Tableau Next, Tableau Pulse and AI-powered analytics.

Pay

$123,100 - $186,300 annually (base salary); $147,400 - $202,600 per year (base pay)

Tools

Tableau Desktop, Tableau Cloud/Server, Tableau Prep, Sales Cloud, Service Cloud, Journey Builder, Commerce Promotions, Tableau Pulse

AI focus

Use AI agents to automate routine tasks, natural-language prompting to retrieve customer data and draft success plans, and AI-driven sentiment and intent analysis to flag customer concerns.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)