Top Remote Jobs in Lille

Lead and mentor an ~8-person compute engineering team, set architecture and direction, stay ~50% hands-on coding, and deliver scalable, reliable compute platform services integrating with Infrastructure, Security, and Backend teams.

The Enterprise Account Executive will sell Kong Enterprise Platform to enterprise customers, meet quotas, lead accounts through sales processes, and ensure pipeline accuracy while traveling to customer sites as needed.

This role involves preparing and reviewing statutory financial reporting and tax compliance, supporting tax audits, and coordinating with local tax provisions in the EMEA region.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.

Own the product roadmap for data center whitespace infrastructure (power distribution, liquid and air cooling). Consolidate Voice of Customer and market intelligence, define product requirements and value propositions, run competitor and patent analysis, create customer-facing documentation, support launches, enable sales/solutions teams, and provide occasional on-site technical consultations and training.

Design and maintain data warehouse systems, develop ETL pipelines, manage datasets for analytics, and implement real-time data solutions.

Own the Subscriptions roadmap end-to-end: research, prioritize, coordinate cross-product dependencies, drive features through delivery, and enable sales and documentation to maximize retention and revenue.

The Channel Sales Engineer supports channel partners with pre-sales technical expertise, product demonstrations, and training, ensuring partner success and driving growth through strong relationships and industry insights.

Lead the design and delivery of NLU solutions using LLMs, ensuring technical excellence and mentoring team members.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.