Top Remote Jobs in Lyon

Drive revenue and adoption of Zendesk’s AI products within a defined territory. Own sales quotas, prospect, conduct tailored demonstrations, support proof-of-concepts, and close new and expansion business. Partner with account executives, customer success, and regional leadership to develop sales strategies, identify cross-sell opportunities, model commercial value, and maximize automation-related revenue. Serve as an AI subject matter expert, enable sales teams, and communicate product updates and market insights.

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.

Own the full enterprise sales cycle for Cast AI’s cloud infrastructure automation platform in France. Responsibilities include outbound pipeline generation, opportunity qualification, value discovery, technical and business demonstrations, account mapping, tailored proposals, negotiation, closing, and coordinating value delivery with implementation teams. The role requires enterprise cloud SaaS sales experience, MEDDIC expertise, consistent outbound prospecting, and familiarity with Kubernetes, cloud, and DevOps technologies.

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.

Design, build, and ship AI-powered product features from prototype through production. Own architecture, model selection, integrations, evaluation, reliability, cost, and latency. Work across frontend, backend, and infrastructure while establishing reusable AI development practices. Collaborate with engineering and product teams to define requirements, identify risks, and deliver maintainable, monitored, production-ready systems using LLMs, embeddings, RAG, vector databases, and multiple providers.

Lead and grow a backend engineering team operating with AI-assisted development. Own delivery quality and predictability, hiring, performance management, technical direction, and team development. Partner closely with Product, engage directly with freight customers, and help establish effective AI engineering practices, agent guardrails, review standards, and autonomous workflows. Remain hands-on approximately one day per week while improving engineering processes and outcomes across a distributed, remote-first organization.

Monitors affiliate and sales managers’ partner communications across Telegram, Skype, and email. Reviews tone, accuracy, compliance, response times, and SLA adherence; identifies risks and escalates critical cases. Provides constructive feedback, maintains communication standards and error records, prepares quality reports, and supports process improvements. The role requires strong written English, objectivity, responsibility, stress resilience, and the ability to understand affiliate and iGaming operations.

Build and maintain scalable cloud-native data pipelines, ingestion frameworks, APIs, data models, transformations, and quality controls. Support distributed processing, data governance, observability, security, compliance, feature pipelines, MLOps integrations, and analytics-ready datasets. The role contributes to modern data platform development across batch and streaming workloads, optimizing performance and reliability while collaborating with senior engineers, data scientists, and business teams.

Develop and execute PR strategies to increase media visibility; build relationships with tech journalists and influencers; craft press releases, pitches, and media kits; secure interviews, features, and opinion pieces; and monitor and report on media coverage and campaign effectiveness.