Top Remote Jobs in France

Build and own the architecture for Dune’s curated data lifecycle, including dependency-aware orchestration, backfills, schema evolution, retries, recovery, data quality, and alerting. The role combines backend software engineering with large-scale data systems work across Go, Kotlin, Rust, Python, and SQL. Responsibilities include designing ingestion and curation contracts, making architecture decisions, solving ambiguous problems, and leading work that other engineers can execute.

Owns Citrix Flex solution sales as a subject-matter expert, supporting opportunity qualification, presentations, demos, deal strategy, pricing guidance, solution design, and competitive positioning. Builds territory and account plans, creates pipeline, engages executive and technical stakeholders, and collaborates with account teams, system integrators, and technology partners. Success is measured by ARR and pipeline growth, opportunity acceleration, product adoption, and effective cross-functional collaboration.

Leads technical engagement with Citrix partners across enablement, pre-sales, and post-sales activities. Delivers training, demos, presentations, proofs of concept, solution architectures, and RFI/RFP responses. Supports partner services development, customer adoption, technology assessments, escalations, and churn reduction. Builds relationships with partner executives, aligns technical strategies with business objectives, develops joint value propositions, influences roadmaps, and drives expansion of Citrix-based solutions.

Manages day-to-day execution of influencer marketing campaigns, coordinating creators, clients, vendors, and internal teams. Responsibilities include campaign activation, content and community management, data collection, reporting, client communications, production support, risk escalation, pitch materials, planning, and workflow optimization using AI and automation tools.

Provide technical customer support for Ashby by diagnosing integration and API issues, troubleshooting via logs and scripting, collaborating with engineering on escalations, creating documentation, and driving product improvements from customer feedback.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Lead the company’s Physical AI research and engineering function as a hands-on technical leader. Define research priorities, design and train Transformer-based models, establish rigorous offline and real-world evaluations, integrate systems with physical robots, and analyze failures across data, models, hardware, and environments. Build a focused team, guide technical architecture and experiments, translate customer needs into requirements, and deliver measurable improvements through deployed models, benchmarks, evaluation systems, or data products.

Build and maintain Laravel and PHP production systems while contributing to React customer-facing features. Investigate production issues, design reliable queues and webhook systems, manage retries and rate limits, maintain third-party integrations, improve database and backend performance, and develop dashboards, tests, API documentation, SDKs, and developer tools. The role requires independent ownership, strong debugging skills, reliable asynchronous systems design, and accurate customer data handling.

Réaliser et gérer des mandats de stratégie et d’accompagnement organisationnel, notamment en planification stratégique, études de marché, plans d’affaires, diagnostics et optimisation des processus. Analyser des données qualitatives, financières et économiques, formuler des recommandations, préparer des livrables clients, animer des ateliers et développer les relations clients. Coordonner des ressources et gérer plusieurs mandats simultanément.

Lead Oyster’s company-wide editorial and category narrative across marketing, executives, product, people, legal, and customer-facing teams. Build AI-first systems for research, brand voice, fact-checking, source verification, repurposing, evaluation, and governance. Direct thought leadership, executive publishing, original employment research, and multimedia activation. Connect content decisions to growth, trust, influence, and pipeline while mobilizing stakeholders, freelancers, agencies, and experts without formal authority.

Manages fine art projects across their full lifecycle, including planning, pricing, site visits, execution, billing, and CRM pipeline updates. Coordinates with technicians, sales, development, operations managers, and external vendors to resolve challenges and meet client requirements. Ensures compliance with organizational standards and project specifications while delivering timely, high-quality client outcomes and supporting exceptional customer service.

Develops and deploys enterprise AI solutions, especially LLM and VLM applications, TTS, STT, and machine learning models. Responsibilities include model research, training, fine-tuning, evaluation, optimization, API and microservice integration, production deployment, monitoring, MLOps, CI/CD, security, scalability, and cost optimization. The role requires close collaboration with data engineers, DevOps, product teams, project managers, and clients to deliver reliable, production-ready AI systems.

Design, build, optimize, deploy, and monitor production AI/ML solutions, especially LLM and VLM applications. Develop model integrations, APIs, MLOps pipelines, RAG systems, and scalable serving infrastructure. Apply software engineering, testing, CI/CD, observability, security, and compliance practices. Own model lifecycles from data preparation and research through production maintenance. Collaborate with engineers, project managers, clients, and stakeholders while mentoring junior engineers and evaluating emerging AI techniques.

Hands-on technical lead responsible for designing, coding, and delivering enterprise data and AI systems. Leads cross-functional engineering teams, defines architectures, reviews designs and code, mentors engineers, and enables scalable AI development and operations. The role addresses complex enterprise ecosystems, modernization, cybersecurity, data governance, responsible AI, compliance, and regulated environments. It also supports executive stakeholder relationships, proposals, and expansion of data and AI platform capabilities.