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Sr Customer Success Manager

Confirmed live in the last 24 hours



501-1,000 employees

AI-powered enterprise data security platform

AI & Machine Learning
Data & Analytics


Remote in Canada

Customer Experience
Customer Success
Customer Success & Support
Customer Success Management
Sales & Account Management
Required Skills
  • 5+ years in Customer Success managing a portfolio of large enterprise accounts
  • Bi-Lingual in English and French
  • Background in big data, privacy, data governance, or information security as either customer or vendor
  • Ability to understand customer needs and provide appropriate best practices
  • Proven track record of driving adoption and identifying/remediating risk to drive renewal, cross-sell and upsell
  • Deep understanding of value drivers in recurring revenue business models
  • Familiarity with on-premise and/or cloud data landscape
  • Outstanding interpersonal communication, customer relationship, and executive presentation skills
  • Excellent organization skills and ability to multitask in a fast-paced startup environment
  • Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
  • BS/BA degree
  • Manage the customer relationship, risk, and revenue
  • Build trust and create meaningful relationships among champions and key executives within each account
  • Be the voice of the customer within BigID to advocate on behalf of customer issues and needs
  • Conduct Executive Business Reviews with key stakeholders to align on goals, outcomes, and value realization
  • Collaborate with Sales and Services teams to drive renewal, cross-sell and upsell
  • Identify risk and execute a cross-functional risk mitigation plan
  • Identify product improvements by remaining current on customer needs, industry trends, market activities, and competitors
  • Share our Values of Care-Do-Try-Shine!

BigID offers a data security platform powered by AI to scan, classify, and inventory enterprise data, enabling organizations to reduce data risk, automate security and privacy controls, achieve compliance, and understand their data across various sources including multicloud, hybrid cloud, and on-premises. The platform leverages modern architecture design, advanced machine learning, and cloud-native deployment for scalability and flexibility.

Company Stage


Total Funding



New York, New York



Growth & Insights

6 month growth


1 year growth


2 year growth