Top Tech Jobs & Startup Jobs in Lyon

Lead architecture and development of mobile apps for Web3 products. Define mobile standards, integrate wallets and blockchain networks, drive performance and reliability, mentor engineers, own releases and product stability, and collaborate with product, design, and backend teams.

Lead the architecture and scaling of Overstory’s data platform for AI-powered vegetation analysis. Design and operate large-scale geospatial and temporal data pipelines, orchestration systems, event-driven workflows, service-oriented architecture, data quality frameworks, and observability practices. Drive architectural standards, system design, scalability, reliability, and traceability while mentoring engineers and collaborating with data, ML, and product teams.

Own and grow Planet’s government sales pipeline and customer base in France, focusing on the French Ministry of the Armed Forces and French Armed Forces. Prospect, qualify, negotiate, and close software and SaaS deals; manage government procurement and contracting; forecast pipeline; develop proposals and demonstrations; and collaborate with marketing, solution engineering, customer success, and post-sales teams. The role requires strong government and defense sales experience, military intelligence knowledge, French fluency, and eligibility for security clearance.

Supports enterprise pre- and post-sales deal operations by managing requests, coordinating Sales, Legal, Finance, and Operations stakeholders, preparing documentation, maintaining Salesforce records, and ensuring timely approvals and execution. The role also identifies process improvements, manages competing priorities, and contributes to team best practices and knowledge sharing.

Leads Dow’s Digital Operations technology strategy, identifying and prioritizing intelligent automation opportunities, translating business needs into scalable digital solutions, and overseeing implementation across sites and functions. Partners with operations, technology, data, cybersecurity, and business leaders to improve reliability, performance, adoption, and value realization. Provides strategic guidance to senior leadership while mentoring employees and promoting responsible, safe, and inclusive technology adoption.

Own end-to-end global customer implementation projects from kickoff through go-live and handover. Build project plans, establish governance, manage RAID logs, milestones, dependencies, risks, and escalations, and coordinate clients and internal teams across countries and time zones. Lead status and governance meetings, drive accountability, ensure go-live readiness, maintain documentation, and support continuous process improvement.

Develop and improve semiconductor engineering software across UI, optimization workflows, C++ codebases, and AI integrations. Build MCP servers and agent pipelines that expose simulation tools to LLMs, while improving usability and reliability for scientists and technical users. The role also offers opportunities to launch and lead new software projects end-to-end. No prior simulation or optimization experience is required.

Build and grow Cloudera’s sovereign cloud business across EMEA. Develop relationships with sovereign cloud providers and enterprise customers, create marketplace offerings, drive partner enablement and sales motions, generate pipeline, and manage regional forecasts and bookings. The role requires expertise in enterprise cloud, data, AI/ML, sovereignty regulations, complex multi-stakeholder deals, executive communication, and cross-functional collaboration.

Manage and convert inbound EMEA SaaS leads (trials, enquiries, quotes, RFPs). Qualify and prioritise opportunities, demo product, recommend solutions, maintain CRM (HubSpot), follow up to close, and share customer/market insights with the team.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.