OverviewAs a strategic operations leader, you will shape the global, AI-enabled Customer Success function and drive value across markets.
You will replace fragmented local practices with scalable, global ways of working while staying responsive to local realities.
You'll own data-driven initiatives, design AI-first use cases, and coordinate cross-functional programs with high visibility.
This role offers real ownership, impact at scale, and the chance to build a data/AI-first CS organization from the ground up.
Compensaciones / BeneficiosHealthcare insurance
Wellness programs
Generous time off
Local perks (varies by location)
Career growth opportunities
Remote work and adaptable hours
ResponsabilidadesDesign and help launch the global Customer Success function focused on insights, productivity, and best practices
Define, test, and roll out AI-first CS use cases with prioritization and measurable adoption
Lead data analytics and modelling with focus on Retention and Growth
Manage data queries and data management topics using tools like Superset, Tableau; SQL; contribute to dashboards
Apply machine learning techniques (prediction models, clustering, decision trees) and build financial/business models
Support strategic projects across markets, scale experiments globally, and align with in-market stakeholders
Act as TPM for initiatives,



coordinating timelines, risks, and follow-ups
Package insights for stakeholders and lead working sessions with teams
Collaborate with data engineering and product/operations to improve live processes
Communicate progress and directions to cross-functional stakeholders
Requisitos principales3–5 years in strategy, operations, analytics, or project management
Quantitative educational background (Data Science/Statistics/Math/CS/Finance) ideally
Experience handling large data sets; editing/creating dashboards (Superset/Tableau)
SQL and DBT experience; prior BI work with databases
Desirable: Python modelling and data science knowledge (clustering, regression, decision trees, xgboost)
Experience designing and implementing advanced analytics (data prep, feature engineering, model validation)
Background in business analysis and forecasting; budgeting experience is a plus
Interest in applying AI to Customer Success operations
Proven collaboration with multicultural teams and strong communication
Fluent in English; other languages (Spanish/Portuguese/Polish) are a plus
Remote-first role; ideally based in Spain; eligibility to work in location
ambition and ownership
cross-functional collaboration
clear communication
Superset
Tableau
SQL

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