Top Tech Jobs & Startup Jobs

The Workplace Experience Lead manages office services and compliance, coordinates events, oversees budget and supplier relations, and ensures a safe, efficient work environment.

The Senior Machine Learning Engineer will design and implement AI and ML solutions, build retrieval pipelines, and develop language models to enhance patient care access and management.

Design, build, and operate Doctolib's Medical Knowledge Platform: end-to-end indexing and retrieval for clinical AI. Implement large-scale vector search, embeddings, custom re-rankers, query processing, RAG systems, and retrieval evaluation to ground AI decisions in validated medical sources and meet strict latency and throughput requirements.

The Senior Site Reliability Engineer will lead observability strategy, enhance incident response, and improve platform reliability for healthcare professionals.

The Engineering Manager will lead the Observability & Reliability team, drive observability platform evolution, mentor engineers, and manage transversal services.

Build and maintain production data pipelines for AI systems, from ingestion and data capture through monitoring. Ensure data quality, privacy, anonymization, consent, retention, and GDPR compliance. Provide datasets for model training, evaluation, and annotation workflows, while developing monitoring pipelines and dashboards for AI performance. Collaborate with data platform, data science, engineering, product, and business teams to optimize scalable cloud infrastructure and manage costs.

Lead a four-person IT squad supporting Finance systems across four countries. Own the technical architecture, quarterly roadmap, budgets, ERP and integration projects, operational reliability, stakeholder steering committees, AI adoption, support processes, and change management. Manage hiring and team development while partnering closely with Finance leadership and overseeing SAP S/4HANA, SAP Integration Suite, SAP BTP, and related Finance tools.

The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.

Lead a team of 6–7 engineers responsible for scheduling infrastructure and booking experiences. Own delivery, quality, production health, roadmap planning, architecture, service migration from a monolith, security, reliability, scalability, hiring, development, and team operations. Partner with product and people teams while integrating AI-assisted engineering practices. The role requires strong backend systems credibility and experience modernizing large legacy platforms in a regulated or high-growth environment.

Own and scale Oxygen, Doctolib's design system: set roadmap and investment strategy, establish cross-functional governance, ensure design quality and consistent AI-generated interfaces, drive adoption metrics and business impact, and recruit and grow a team of design system designers and engineers.