jobapplier

Senior Customer Success Operations Manager

WEKA

Skills

Required

  • Excel/Google Sheets
  • structured data
  • Salesforce
  • dashboards
  • data model navigation
  • BI tools
  • data warehouses
  • Snowflake
  • Looker
  • Tableau
  • AI
  • Python
  • JavaScript

Preferred

  • customer health scoring models / churn prediction / Net
  • Revenue Retention analytics
  • infrastructure / storage / data platform technologies
  • enterprise IT buyer landscape

Join our team as a Senior Customer Success Operations Manager, where you will drive operational change across the Customer Success organization. This hands-on role involves owning and leading projects end-to-end, building internal tools, defining processes, and translating data insights into scalable action. You will work with a small, high-impact team and have significant autonomy in a fast-moving environment.

Responsibilities

  • Posséder et livrer des projets opérationnels CS de bout en bout, y compris les playbooks, les flux de travail et l'automatisation.
  • Construire et maintenir des outils internes, des tableaux de bord et des rapports qui donnent à la direction CS une visibilité en temps réel.
  • Définir et améliorer les processus CS et les flux de travail opérationnels, en identifiant les lacunes et les inefficacités.

Requirements

  • Advanced Excel/Google Sheets skills and comfort working with structured data across multiple systems
  • Strong proficiency with Salesforce (reporting, dashboards, data model navigation) and experience working with BI tools and data warehouses (e.g., Snowflake, Looker, Tableau)
  • Self-directed and comfortable operating with high autonomy in a fast-paced, resource-constrained environment
  • Proven track record of owning and delivering operational projects end-to-end, not just analyzing data but building the processes and tools that act on it
  • Experience designing and operationalizing playbooks, workflows, or standard operating procedures for customer-facing teams
  • Strong communication skills—able to translate data into clear recommendations for both technical and non-technical stakeholders
  • 5+ years in CS Operations, Revenue Operations, Business Operations, or a similar role in a B2B SaaS or enterprise technology company
  • Hands-on experience with AI/ML tools for workflow automation, content generation, or data analysis—not just awareness, but proven ability to integrate AI into day-to-day operations
  • Background in program or project management with experience coordinating across Engineering, Product, and Go-to-Market teams
  • Experience building automation using scripting (Python, JavaScript) or low-code/no-code platforms

Preferred

  • Familiarity with customer health scoring models, churn prediction, or Net Revenue Retention analytics
  • Experience with infrastructure, storage, or data platform technologies (understanding of the enterprise IT buyer landscape is a strong plus)