Senior Customer Success Manager

ThoughtSpot ThoughtSpot · Data AI · Chicago, IL

Senior Customer Success Manager role focused on driving adoption and success for top-tier customer accounts by building relationships, delivering value, and acting as a customer champion. The role requires understanding customer needs, collaborating across departments, identifying growth opportunities, and presenting solutions. While not directly building AI, the role requires strong AI literacy and the ability to leverage AI tools for productivity and problem-solving within the customer success context.

What you'd actually do

  1. Be a part of a focused Account team that manages multiple accounts consisting of Fortune 5000 companies and responsible for Annual Recurring Revenue
  2. Foster robust customer relationships through proactive champion building and sustained user engagement
  3. Be a primary point of contact for customers and be the voice that communicates use cases/requirements/expectations in a way that is actionable for Marketing, Sales, Support, Services, and Product teams at ThoughtSpot.
  4. Understand how our customers want to use ThoughtSpot and help make those aspirations a reality: Be the companion on their journey from onboarding, adoption, and a lifetime of success.
  5. Manage customer relationships - building the bridge between human and data that is the sweet spot for customer success.

Skills

Required

  • 5+ years in customer-facing roles (Sales/Support/Services/Architecture), with account management experience/customer-facing
  • Strong understanding of the BI space and related technologies including cloud data warehouses, ETL pipelines, and coding languages like SQL
  • Consultative background with experience in leading prescriptive solutions for customers based on core playbooks and strategies
  • Escalation management and strong project management fundamentals
  • Excellent discipline and time management skills, comfortable working with ICs, leaders, and senior leaders across different departments
  • AI literacy and workflow integration
  • Leverage AI tools (industry-leading LLMs) to increase productivity, automate routine tasks, and improve work quality
  • Speak to the experience of using AI for research, content creation, and document summarization while maintaining ownership of judgment and final decisions
  • Write effective prompts to get the most accurate and creative results from AI tools
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary

Nice to have

  • Hands-on experience with data warehousing ecosystems (e.g., data sources, ETL, data warehouse, data marts) and understanding of different types of dimensional models (logical, physical)
  • Hands-on experience with data and analytics tools such as ThoughtSpot, Looker, Sigma Computing, Microstrategy, Tableau, Qlik, PowerBI, SQL
  • Familiarity with ETL tools (such as FiveTran, Alteryx, Datameer, Informatica, Talend, SSIS, DataStage, Kettle) is a plus
  • Knowledge and experience with deployment architectures on-premises and in cloud environments like AWS, Azure, and Google Cloud
  • Prior experience in analytics, BI, or a tangential space for at least 2-3 years, with experience running a BI center of excellence or held similar roles
  • Documentation and process-oriented; you want to help build the foundation for our customer success management team
  • Passionate about technology and eager to learn about next-generation analytics in the enterprise

What the JD emphasized

  • AI literacy and workflow integration
  • Leverage AI tools (industry-leading LLMs) to increase productivity
  • Write effective prompts to get the most accurate and creative results from AI tools
  • Curiosity in exploring new AI tools
  • Adaptability to quickly learn and implement new, emerging AI technologies
  • Critical thinking to know when to identify when AI should be used versus when human judgement is necessary