Full-Time

Principal Customer Success Manager

Updated on 5/28/2024

BigID

BigID

501-1,000 employees

AI-powered enterprise data security platform

AI & Machine Learning
Data & Analytics

Compensation Overview

$130k - $145kAnnually

+ Variable/Bonus Compensation + Equity Incentives

Senior

New York, NY, USA

Required Skills
Sales
Communications
Requirements
  • 5+ years in Customer Success managing a portfolio of large enterprise accounts
  • 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
Responsibilities
  • 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

N/A

Total Funding

$307.5M

Headquarters

New York, New York

Founded

2016

Growth & Insights
Headcount

6 month growth

10%

1 year growth

8%

2 year growth

8%