Overview In this role you drive data and AI readiness for large enterprises, shaping how clients adopt DataCamp for business-wide upskilling. You operate across customer success, sales, product, and marketing to maximize adoption, retention, and expansion. You will design success plans, run learning initiatives, and translate client value into renewal and growth. The role sits at the intersection of strategy and hands-on enablement, helping organizations transform their data capabilities at scale. You'll partner with cross-functional teams to tailor DataCamp offerings to client needs and outcomes.
Compensation / Benefits- Equity (stock options)
- Unlimited PTO
- 401K retirement plan + matching
- Insurance (medical, dental, vision, life)
- Flexible working hours
- yearly learning budget
Responsibilities- Manage the customer lifecycle from onboarding to renewal for top-tier B2B clients
- Create proactive success plans and goals to drive data & AI transformation and upskilling outcomes
- Collaborate with sales, LSA, partnerships, and services to grow product adoption and relationships
- Launch learning initiatives (competitions, custom tracks/content, leaderboards) to promote learner access and outcomes
- Capture and promote business value from DataCamp usage
- Relay customer feedback to product/marketing for roadmap shaping
- Elevate executive conversations to evangelize DataCamp and drive meaningful adoption
- Demonstrate deep product understanding to ensure renewal, upsell, and cross-sell
Key requirements- 3+ years in relevant fields (e.g., consulting, customer success, pre-sales, account management, support)
- Experience with big data and advanced analytics concepts and vendor landscape
- Proven track record of meeting/exceeding GRR/NRR targets in a portfolio
- Ability to teach and enable clients to champion DataCamp adoption
- Experience with Salesforce, documenting risk/growth opportunities, and creating renewal quotes/POs
- Willingness to experiment with new CS playbooks and motions
- customer focus
- collaboration
- ownership
- big data
- advanced analytics
- data science concepts
