Top Tech Jobs & Startup Jobs in France

Lead a Platform Experience product group to define vision, strategy, and metrics; manage and grow PMs; create a consistent API-first developer experience across CLI, SDKs, Terraform and docs; reduce time-to-first-value from PoC to production; evolve quotas, capacity and multi-tenant resource models; and unify customer notifications and communications.

Develop and optimize GPU clusters and InfiniBand networks for hyperscale HPC environments. Responsibilities include troubleshooting hardware and infrastructure issues, integrating new GPUs through Kubernetes, QEMU, and KVM, managing GPU devices and InfiniBand fabrics, tuning performance, and improving automated monitoring and fault resolution.

Own the revenue systems and CRM environment, including business logic, configuration, data governance, process design, and technology roadmap optimization. Translate commercial needs into system requirements, manage revenue data quality, and partner with Growth, Sales, Customer Success, Finance, and technical teams to improve adoption, efficiency, and consistency across the revenue lifecycle.

Investigate data quality and operational issues, analyze large datasets with SQL and BI tools, and build validation and monitoring solutions. Lead data, automation, and process-improvement initiatives from conception through measurable impact. Explore AI and automation use cases, collaborate with Operations, Engineering, Product, and client-facing teams, and support analysts on complex technical topics. The role requires strong analytical problem-solving, autonomy, communication skills, and fluency in English and French.

Own and optimize global lead-to-order and quote-to-cash sales processes. Lead process governance, standardization, digital sales transformation, CRM process implementation, stakeholder alignment, change management, training, and sales enablement. Apply Lean Six Sigma and modern process modeling to improve seller productivity, customer experience, scalability, and operational efficiency across global teams.

Leads complex airline IT presales engagements from opportunity qualification through contract signature and implementation handover. Responsibilities include solution design, customer discovery, RFP and proposal management, scope definition, stakeholder coordination, governance, commercial alignment, risk management, and contract support. The role also gathers market feedback, analyzes competitive offerings, and contributes to product roadmap and portfolio evolution.

The Data Scientist role is identified as a contractor-conversion opportunity at Amadeus. The provided description contains no specific responsibilities, technical requirements, experience requirements, compensation, travel expectations, or clearance requirements.

Close inbound sales requests from independent workers and very small businesses across the full sales cycle, from qualification through closing. Educate prospects, address objections, apply Alan’s Smart & Soft selling approach, and deliver a positive customer experience. Contribute to sales playbook development, tooling and process improvements, product feedback, self-service enhancements, and broader customer-growth initiatives.

Close inbound sales opportunities for individuals and very small businesses throughout the full sales cycle, from qualification through conversion. Educate prospects, address objections, deliver a high-quality selling experience, and apply Alan’s Smart & Soft methodology. The role also contributes to sales playbooks, tooling and process improvements, product feedback, self-service enhancements, and broader company initiatives.

Lead and grow the Offer engineering team while remaining hands-on in software development. Define architecture, engineering standards, quality practices, and incident response for a global insurance platform. Build shared insurance infrastructure, AI-assisted underwriting capabilities, and life and disability products across multiple countries. Partner with product and business teams, hire and develop engineers, shape technical strategy, and deliver scalable systems supporting pricing, contract lifecycle management, and sales tooling.

Lead the vision, strategy, and execution of Oyster’s Employer of Record product across onboarding, payroll, benefits, compliance, and offboarding. Manage and develop a multi-layered product organization, prioritize complex initiatives, and partner with Engineering, Design, Legal, Finance, and Operations. Drive AI-powered automation, scalable workflows, measurable business outcomes, and product quality across a regulated global employment platform.

Supports the HR Director and HR Division with cross-department coordination, reporting, workforce planning, project tracking, meeting follow-up, process standardization, and continuous improvement. The role maintains accurate HR records, dashboards, tools, and documentation while coordinating stakeholders and supporting HR projects. It requires strong organization, communication, data-handling, confidentiality, and proficiency with Microsoft Office, particularly Word and Excel.

Leads resource mobilization and the full grant cycle for the Morobe Cancer Initiative, including donor mapping, funding pipeline development, proposal and budget preparation, reporting, donor engagement, and grant documentation. Builds grant-management and compliance capacity within Papua New Guinean institutions, supports donor visits and communications, and develops systems for sustainable, locally owned funding. The role requires collaboration with health authorities, technical teams, finance staff, donors, and external partners.

Own the technical strategy and architecture for the Voyager SDK application layer. Lead model deployment, pipeline development, preprocessing and decoding, framework integrations, metadata standards, performance profiling, and optimization across heterogeneous AI hardware. Resolve complex compilation and latency issues, build reusable libraries and tools, influence technical roadmaps, represent the team with stakeholders and customers, mentor engineers, and establish development best practices.

Support CEO and leadership on market intelligence, financial modelling, go-to-market strategy, partnerships and PMO. Run competitor analysis, size segments, build investor-ready business plans, craft value propositions and support partner negotiations while tracking cross-functional OKRs and dashboards.

Fine-tune and align LLMs for specialized financial tasks; build agentic solutions with LangChain/Autogen; engineer ML pipelines for large financial datasets; deploy, monitor and scale production models; track AI research and integrate emerging tooling.

Open application inviting AI engineers, full-stack developers, data scientists, finance experts and others to apply. Candidates should submit a resume/LinkedIn, links to work (GitHub, Kaggle, portfolio) and a brief note explaining motivation, value they bring, and desired roles or projects.