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As a Data Product Owner, you will bridge business needs and data squads, managing product lifecycles, facilitating collaboration, and ensuring data products meet business requirements.

The Product Manager will oversee the product lifecycle, align product strategies with business goals, collaborate with stakeholders, and utilize data analysis for product enhancement.

The Growth Data Scientist develops ML models, collaborates with stakeholders, and translates data into actionable insights to support sales and customer management.

Manage an on-site workplace support team (3 people) and provide VIP support for the CEO and Executive Committee (~10). Deliver day-to-day support for O365, endpoints (Windows, macOS, iOS, Android), meeting rooms (MTR and BYOD), and handle AD, device enrollment, Intune, OS patching, MFA and password changes. Work primarily in French with occasional English communication. On-site hours 9:00-18:00, Mon-Fri.

Lead QA strategy and execution for payments microservices: define testing processes, implement end-to-end and exploratory testing, optimise test environments, produce stakeholder reports, and champion QA best practices across engineering, product, compliance and operations.

As an Inside Sales Advisor, you will manage client accounts, promote solutions based on business needs, and maintain customer records while achieving sales quotas.

Lead design and delivery of microservices-based Java applications for PayTech. Ensure architectural integrity, performance testing, team coaching, recruitment, and production-ready deployments using cloud and container technologies.

The Inside Sales role involves developing potential customers via phone, coordinating client visits, and converting inquiries into sales opportunities, while analyzing customer feedback.

As a Senior QA Automation Engineer, you'll design and implement automated tests for user journeys, collaborating closely with teams to ensure system integration and quality, while mentoring junior testers and improving automation practices.

Build and scale Edenred's outbound engine: assess BU maturity, run pilots, support local teams on targeting and data, improve data quality and scoring, evaluate outreach tools, define scalable frameworks, track pipeline KPIs, and explore AI/automation to improve efficiency.