Top Remote Jobs in Paris

Leads global privacy and AI legal matters for a SaaS employment platform. Advises Product, Engineering, Security, and business teams on privacy by design, AI governance, data protection, workforce data, incidents, regulatory compliance, vendor reviews, transfers, and contract terms. Builds scalable policies, controls, templates, training, and customer-facing trust materials while monitoring global privacy and AI regulations.

Lead and develop distributed Kasten Solutions Engineering teams across EMEA and APJ. Own technical win rates, solution architecture, demonstrations, proof-of-concept execution, territory strategy, pipeline reviews, field enablement, and partner relationships. Collaborate with sales, product management, engineering, cloud partners, and system integrators while remaining hands-on with enterprise architects and technical executives. Travel up to 30% across the regions.

Own Curewiki’s French commercial market from prospecting through contract signature, targeting pharmaceutical affiliates, biotech companies, and CROs. Build pipeline, manage full-cycle deals, negotiate contracts, maintain HubSpot forecasting discipline, onboard early customers, identify expansion opportunities, and represent the company at industry events. Coordinate with enterprise sales, partnerships, and customer success teams while providing market intelligence. The role requires an established French life-sciences network, territory-opening experience, native-level French, fluent English, and autonomous execution.

Lead architecture and implementation of scalable full-stack features using NestJS and Next.js, integrate LangChain-driven AI, manage PostgreSQL schemas and performance, build responsive UIs with Tailwind CSS, implement authentication with Clerk, and ensure reliability with Puppeteer-based testing and automation.

Open application inviting candidates for future roles. Applicants complete screening questions and tests without AI assistance. Applications reviewed monthly; candidates contacted if a suitable role arises.

Design, build, and operate large-scale, low-latency telemetry pipelines and observability systems for GPU cloud and edge infrastructure. Instrument compute, storage, networking, and AI workloads; implement metrics, logging, tracing, SLOs, alerting, dashboards, anomaly detection, and integrate telemetry into operational workflows. Lead observability initiatives, collaborate with platform teams, and support on-call responsibilities.

Leads global commercial customer data governance, Customer 360 strategy, segmentation, data quality, reporting, and insight initiatives. Owns customer definitions and hierarchies across SAP and Salesforce, establishes governance and KPI standards, and aligns reporting and analytics investments with business value. Partners cross-functionally to improve data quality, reporting adoption, forecast accuracy, and AI readiness while driving change management and value realization across the commercial organization.

Own the full sales cycle for mid-market SaaS accounts across EMEA, including pipeline generation, territory planning, relationship management, executive engagement, consultative selling, forecasting, and account expansion. Partner with solutions engineers, customer success, support, marketing, and revenue operations to guide customers through evaluation, purchase, adoption, and long-term growth.

Manage strategic B2B SaaS customers as their primary point of contact, maximize product ROI, advise on fraud and compliance best practices, translate technical challenges into solutions, monitor KPIs, and coordinate internal teams. The role requires strategic account management, customer-facing communication, project coordination, analytics, and expertise in fraud, payments, compliance, or AML/KYC, with a focus on banking customers and API integrations.

Build and ship full-stack features for a data intelligence SaaS platform, spanning backend services and frontend interfaces. Use AI coding assistants to accelerate development while applying sound engineering judgment. Participate in architecture discussions, code reviews, testing, incident response, troubleshooting, documentation, and knowledge sharing. Partner with product managers to translate requirements into technical solutions. The role emphasizes SaaS architecture, AWS cloud fundamentals, Docker, Kubernetes, CI/CD, agile delivery, autonomy, and production ownership.