Customer Success Manager
Job description
About the role
This role manages a portfolio of customers for an EdTech scale-up. The team owns account health and drives retention and expansion. You will act as a trusted advisor to clients in a global environment.
Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.
Key facts
What you'll do
The team uses account health scores to guide actions that protect customers.
You will lead conversations that align customer goals with product use.
The team intervenes early to reduce churn risk and protect revenue.
Proactive monitoring helps prevent issues from escalating.
These meetings communicate value and uncover new needs.
The plans support retention and uncover expansion and upsell opportunities.
Insights from users guide product improvements.
Requirements
Hold a bachelor's degree or higher. This requirement confirms formal education in the field.
Bring 0-2 years of Customer Success or key account management experience. Previous experience is beneficial but not required.
Demonstrate excellent communication skills in clear, goal-oriented English. The role requires written and verbal clarity to avoid misinterpretation.
Show a commercial mindset focused on negotiating outcomes for internal and external stakeholders. You will balance interests across the organization.
Work in a customer oriented way by uncovering underlying needs and helping customers succeed. The focus stays on solving customer problems.
Prefer a passion for HR tech and stay up to date on trends in the discipline. Familiarity with learning technology supports day-to-day work.
Practical notes
This role is based in Colombia and requires full_time availability. The position may involve travel within the region as needed.
to verify expectations and processes.
Typical interview steps
Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.
Good to know
The role operates in a fast-growing EdTech environment using AI-first tools. Success depends on understanding learning workflows.
The team uses an eLearning authoring SaaS platform to deliver training solutions. Strong skills in learning technology help in this work.
Remote work policies enable flexible arrangements while supporting collaboration across regions.
Questions to ask
Useful questions for the interview: what a typical week looks like, how work is assigned, what tools the team uses, and how feedback works. Asking how the role has changed recently and what the team wishes it had known when joining is also reasonable. Questions about the manager's priorities are especially valued.
Career growth
Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.
About the company
Easygenerator is an award-winning EdTech scale-up trusted by global brands like Kellogg's, T-Mobile, and Siemens. We simplify knowledge sharing through our powerful SaaS authoring tool, empowering organizations to create engaging e-learning content with ease.