Jobs at Doctolib

Build and scale ML platform infrastructure, deploy production machine learning models, and maintain MLOps pipelines with version control, CI/CD, monitoring, and reliability practices. Develop tools and frameworks that streamline model deployment, collaborate with data scientists and engineers on end-to-end AI solutions, resolve production issues, and document and promote MLOps best practices across the technology organization.

Supports Tech and Product Talent Acquisition by coordinating interviews, communicating with candidates, maintaining Applicant Tracking System data, managing interviewer pools, tracking scheduling metrics, and improving recruitment processes through AI and automation. The intern collaborates with Talent Acquisition Partners and Hiring Managers in a high-volume international technology environment while developing recruitment coordination and stakeholder-management skills.

Build and maintain secure, performant, well-tested healthcare SaaS products using Java, Kotlin, .NET, and C#. Implement new features, improve engineering standards and tooling, collaborate with product and technology teams, and contribute to the technical roadmap in an agile feature team.

Own Doctolib’s product-led and marketing-led growth funnel across France, Germany, and Italy. Lead freemium offer design, subscription conversion, upsell flows, acquisition packaging, checkout, lead generation, lifecycle marketing, and product-qualified lead routing. Use experimentation and funnel analytics to grow ARR while reducing customer acquisition costs, coordinating cross-functional teams in a regulated healthcare environment.

Own Doctolib Free’s product-led and marketing-led growth funnel across France, Germany, and Italy. Define freemium packaging, subscription conversion, upsell flows, acquisition offers, checkout, lifecycle marketing, and sales handoffs. Lead cross-functional teams, optimize ARR and CAC metrics, establish funnel measurement, and use experimentation to drive growth in a regulated healthcare environment.

Leads end-to-end M&A and corporate development activities, including target origination, due diligence, valuation, business planning, execution support, and strategic recommendations. Manages investor relations and corporate strategy workstreams, prepares investment and strategic memos for senior leadership and boards, and develops AI-enabled workflows. Requires strong corporate finance expertise, live transaction experience, valuation skills, French and English fluency, and independent workstream ownership.

Monitor and analyze EU legislation affecting digital health, including AI, health data, GDPR, cybersecurity, and digital sovereignty. Prepare policy positions, consultation responses, and stakeholder meeting materials; coordinate engagement with EU institutions, Permanent Representations, federations, and industry associations. Collaborate with Legal, Risk, Technology, and Product teams to translate regulatory developments into actionable insights, while coordinating cross-border public affairs priorities with colleagues in Germany and Italy.

Design, build, and operate scalable real-time backend services for an AI-powered phone assistant. Develop LLM features including prompting, tool calling, structured outputs, evaluations, guardrails, and fallback strategies. Deploy cloud-native services on Kubernetes, optimize PostgreSQL workloads, maintain CI/CD pipelines, and ensure strong testing, observability, reliability, and security. Collaborate on speech, telephony, and event-driven systems while owning features from design through production.

Build and operate AI agents for Operations and Customer Success workflows, redesigning processes for autonomy and quality. Own agent context, CRM and data integrations, evaluation, prompt optimization, quality assurance, and impact measurement. Translate business needs into technical solutions, collaborate with Leadership, IT, and Product, and enable teams to use AI effectively. The role requires production-oriented technical skills, data fluency, strong communication, and experience with automation tools, Salesforce, and agent platforms.

Maintain and improve Doctolib’s cloud-native Data and AI Platform, including the Data Product Controller and Dagster orchestrator. Enable autonomous data product deployment through CI/CD and infrastructure as code, while monitoring reliability, performance, costs, data quality, lineage, and observability. Collaborate with data engineers, data scientists, and product stakeholders to resolve infrastructure issues and improve platform scalability, architecture, and developer experience.

The Senior Software Engineer will design and maintain a Web and Mobile Design System using React and React Native, drive convergence between platforms, ensure accessibility, mentor team members, and improve developer experience through tooling and automation.

The Staff DataOps Engineer will design and implement data infrastructure strategies, optimize data pipelines, and provide technical guidance across teams to enhance data-driven initiatives.

Design, implement, and scale evaluation frameworks and automated pipelines to monitor safety, reliability, and alignment of agentic LLM systems. Define metrics, run experiments assessing reasoning, factuality and robustness, collaborate with model developers and clinicians, and drive iterative improvement and internal knowledge sharing.

Ensure platform reliability, scalability, and observability at European scale. Build and maintain infrastructure-as-code, define SLOs/error budgets, lead cross-cutting reliability initiatives, improve incident detection/response, participate in on-call rotation, and partner with product and engineering teams to embed reliability practices.

Join Doctolib's Clinical DOPE team to design and implement fullstack features for prescription lifecycle, collaborate with product and design, ensure performance, security, and testability, integrate external drug databases, and improve medication alerting across France and Germany.

Lead platform reliability initiatives at scale: build and maintain IaC and automation, design reliability and observability components, define SLOs/SLIs and alerting, drive incident response and on-call improvements, and partner with product and engineering teams to embed reliability practices across 170+ applications.

The Engineering Manager will lead the Reliability & Observability team, drive observability strategy, manage crucial services, and ensure operational excellence in Doctolib's platform engineering.

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.