Agile Lab

Customer Success Manager

• Guide installation and configuration of Witboost in the customer's environment, working alongside their platform team to tailor deployment architecture and resolve technical blockers
• Run onboarding and training sessions for platform teams and key stakeholders, ensuring they understand the platform's concepts, templates, policies, and capabilities
• Drive Playground and MVP phases to demonstrate value quickly and build internal champions within the customer's organization
• Own the Time to First User metric, proactively removing friction and ensuring every prerequisite for production readiness is met (templates, policies, RBAC, custom views, data contracts, access flows)
• Conduct regular check-ins (bi-weekly syncs, quarterly reviews) to track adoption, health scores, and open issues
• Communicate new releases proactively, highlighting relevant features and running mini-demos to drive upgrade adoption
• Act as the voice of the customer internally — feeding real-world feedback, unmet needs and feature gaps to Product Management to shape the roadmap
• Spot expansion opportunities and flag them to Sales early, supporting renewal conversations with adoption data and business impact evidence
• Uncover root causes, not just requests — when a customer asks for a feature, dig for the underlying problem and bring the real insight back to Product

Senior Technical Success Manager

Data Analyst

• Actively collaborate with business stakeholders to understand and translate functional requirements into technical specifications, ensuring proper implementation of use cases
• Data flow implementation: design and implement new data flows on EDWH or Data Lake to meet specific business requirements, identifying and integrating necessary data sources
• Data cleaning and preparation: conduct data preparation and cleaning activities to ensure the quality and reliability of the data used in analyses
• Data quality techniques implementation: apply techniques and processes to ensure data integrity and reliability through quality control
• Data model creation: develop specific data models for identified use cases, transforming input data into formats suitable for analysis and insight generation
• Collaboration with dashboarding experts: work closely with dashboarding and data visualization experts to implement effective dashboards and reporting, presenting results in a clear and engaging manner

Senior Technical Success Manager

Data Analyst II