Top Remote Jobs in Lyon

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.

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.

Create narrative-driven, long-form cinematic videos using AI-first workflows, from scripting and prompting through generation, editing, compositing, motion graphics, color correction, and final delivery. Maintain character and scene consistency across sequences, experiment with emerging AI video models, refine production workflows, and independently execute creative direction. The role includes stylized and explicit adult content and requires strong storytelling, technical judgment, rapid iteration, and collaboration.

Owns the design and delivery of payment risk systems covering underwriting, exposure, reserves, payout controls, disputes, verification, and transaction monitoring. Leads projects from discovery through rollout and reliability monitoring while balancing fraud protection with organizer experience. Collaborates closely with Product, Payment Operations, and KYC teams, participates in on-call and incident response, mentors engineers, and helps automate manual risk decisions for a growing merchant-of-record platform.

Owns end-to-end talent acquisition for sales, marketing, and support roles. Responsibilities include headhunting, application screening, pre-qualification interviews, competency-based assessment, candidate experience, hiring-manager coaching, stakeholder management, and talent acquisition metrics reporting. The role requires a hands-on, analytical recruiter with experience in fast-growing environments, commercial hiring, agency and internal recruiting, and sales-led organizations.

Own product marketing for a Canonical product area, including positioning, messaging, launches, competitive intelligence, sales enablement, customer research, and demand-generation campaigns. The role requires translating technical open source solutions for developer and executive audiences, influencing product, sales, and marketing stakeholders, using data to improve outcomes, and mentoring other marketers. This is a fully remote EMEA role with periodic international team travel.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Own the full outbound sales cycle for SMB customers in the US, from cold prospecting and discovery through demos, negotiation, and closed-won contracts. Build pipeline through daily cold calling, email, LinkedIn outreach, and BDR collaboration. Qualify prospects quickly, maintain accurate HubSpot records, deliver quota, and develop strong product expertise while selling SaaS authentication solutions to technical buyers.

Design, build and operate backend services in AWS for a multi-service hospitality platform. Implement new features, payment and EPOS integrations, improve performance, monitoring and deployment automation using TypeScript/Node.js and databases like Mongo Atlas, Postgres RDS or DynamoDB. Collaborate in a UK development team and automate infrastructure, CI/CD and QA.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.