Customer Success Manager – Tableau

Salesforce•Chicago, IL

7d•Hybrid

About The Position

Salesforce is seeking a Customer Success Manager (CSM) for its Tableau division. The CSM is a versatile expert responsible for ensuring high-value customers who purchase the Signature Success Plan achieve a significant return on their investment with our platform. This role functions as an extension of the customer's workforce and a trusted advisor, providing guidance and advice to customer organizations. The CSM is responsible for identifying and addressing both technical and business concerns, aligning them strategically with customer priorities, projects, and goals. This role requires experience supporting customers in specific industries such as State & Local / Education (SL/ED), Health & Life Sciences (HLS), or Technology Media Telecommunication (TMT). This is an Individual Contributor position.

Requirements

Experienced business professional, preferably with 3+ years of relevant industry expertise in Customer Success, SaaS platform use, or related fields.
Strong consulting skills and demonstrated ability to drive business value, facilitate discussions, handle objections, and influence C-level conversations.
Possesses industry-relevant expertise and is actively honing skills in a relevant functional area, with an understanding of the broad impact of the industry on the customer's business.
Excellent communication skills to articulate technical issues to diverse audiences and the ability to translate technical concepts into business terms.
Actively seeks out relevant learning activities, approaches obstacles as growth opportunities, and seeks experienced mentors to accelerate personal development.
Tableau Desktop Specialist and Data Analyst certifications required.
3+ years of experience supporting customers using Tableau, with a demonstrated understanding of how Tableau connects to Salesforce data.
Working knowledge of Tableau Desktop, Tableau Cloud/Server, and Tableau Prep.
Understanding of data visualization best practices and dashboard design.
Familiarity with common data sources (databases, spreadsheets, cloud apps).
Ability to demonstrate Tableau features and navigate workbooks and dashboards.
Knowledge of basic analytics use cases (sales dashboards, operational reporting, KPI tracking) and experience with Tableau governance basics (permissions, projects, data sources).

Nice To Haves

Direct experience with Health Cloud and/or Life Sciences Cloud strongly preferred.
Direct experience with Media Cloud strongly preferred.
AI Literacy: Proficiency in using AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring.
Prompt Engineering Basics: Ability to use natural-language commands to guide AI agents in retrieving accurate customer data and generating first drafts of success plans.
AI Engagement Monitoring: Use AI-driven sentiment and intent analysis to flag early customer concerns for human intervention.
Collaborative Learning: Actively seek out Agentblazer training and certifications to stay current on autonomous agent capabilities.

Responsibilities

Serve as the single point of customer accountability responsible for the delivery of all Signature deliverables, the overall customer experience, and renewal and expansion.
Coordinate all deliverables the customer is entitled to, overseeing the experience throughout the Signature lifecycle.
Apply the correct processes to address customer needs and ensure value is delivered through the Signature offer.
Successfully align with and manage both Business and Technical Stakeholders, focusing on aligning Business Value and Technical Goals to the Signature offer.
Prioritize the most urgent work activities, organize tasks to avoid missing key steps, and create basic plans to focus time, taking responsibility for assigned tasks.
Use internal resources to increase effectiveness and rely on managers or mentors for guidance on priority problems.
Conduct enablement sessions on opportunity and case management, forecasting, pipeline hygiene, knowledge creation, and omni-channel routing.
Share best practices for sales and service process optimization, data quality, and customer experience.
Drive adoption of Sales and Service Cloud features with reps, agents, managers, supervisors, and ops teams.
Track usage metrics (opportunity updates, activity logging, forecast submissions, report usage, case resolution times, knowledge article usage, channel adoption, and CSAT scores).
Develop and maintain strong relationships at key stakeholder levels, including cultivating executive-level relationships within customer IT and business leadership.
Act as a trusted advisor by gaining trust through mutual goals, understanding the customer's business model, and applying proven solutions to their problems.
Solidify partnership commitments and drive innovation aligned with customers' business challenges.
Increase customer engagement with products and services and identify major political barriers to customer success.
Partner with more experienced team members to solve complex problems and develop strategic success plans when needed.
Conduct quarterly reviews of feature usage to drive adoption of tools like Journey Builder or Commerce Promotions, ensuring platform stability and performance.
Identify underutilization of contracted entitlements (e.g., messaging volume or GMV tiers) and align platform features with customer priorities to increase throughput.
Drive adoption of Tableau features with business users and analysts and track usage metrics (active users, workbook views, data source adoption).
Conduct enablement sessions and share best practices on dashboard creation and performance, data exploration, and visualization design.
Escalate complex data modeling or server configuration questions to technical resources.
Use AI agents to automate routine tasks such as meeting summaries, QBR data collection, and initial health monitoring.
Use natural-language commands to guide AI agents in retrieving accurate customer data and generating first drafts of success plans.
Use AI-driven sentiment and intent analysis to flag early customer concerns for human intervention.
Actively seek out Agentblazer training and certifications to stay current on autonomous agent capabilities.
Apply product knowledge and expertise to address technical concerns, use this knowledge to ask effective diagnostic questions, and align platform features with customer priorities and roadmaps.
Proactively monitor and conduct quarterly reviews, identify trends, and provide tailored release recommendations to ensure stability, performance, and feature enhancement.
Serve as the primary interface for major incidents (e.g., checkout failures or email deliverability drops) to protect peak revenue.
Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management to lead and coordinate customer relationships for success and revenue opportunities.
Form a clear plan for client engagements, communicate clearly and proactively with collaborators, and keep the customer goal central to decision-making.
Escalate complex automation, data model, routing, or integration questions to technical resources.