Jobs at Shippeo

Build and maintain Python-based data integration pipelines processing millions of data points. Design technical architectures, translate customer requirements into working code, mentor junior engineers, conduct code reviews, oversee production releases, and advise clients on integration requirements and defects. Collaborate with data engineering and product teams to apply AI capabilities and automation tools. The role requires strong communication, technical leadership, and client-facing skills.

Lead enterprise presales engagements across the Americas by conducting discovery, designing supply chain visibility solutions, delivering tailored demonstrations, quantifying business value, and managing proof-of-value initiatives. Develop technical proposals, SOWs, RFP responses, and solution designs while collaborating with sales, product, engineering, professional services, and customer experience teams. Support complex international SaaS sales cycles and contribute to global solution consulting best practices.

Plan, execute, and optimize full-funnel B2B marketing campaigns spanning brand awareness, demand generation, performance marketing, events, product launches, customer expansion, and sales activation. Coordinate cross-functional stakeholders, manage campaign timelines and budgets, enable Sales, and measure performance across the funnel. Use CRM and marketing automation data to track attribution, pipeline impact, customer outcomes, and revenue contribution while improving campaign processes and effectiveness.

Manage a portfolio of 40+ Tier 3 SaaS customer accounts, serving as the primary contact and driving adoption, value realization, retention, and expansion. Monitor account health, identify risks and opportunities, conduct business reviews and training, execute scalable engagement playbooks, and collaborate with Account Management, Product, Customer Delivery, Sales, and Marketing. The role requires strong German and English communication and is based in Paris with a hybrid schedule.

Design and build the data backbone for a no-code data platform: ingestion, schema management, transformation, validation, orchestration, monitoring, observability and AI-assisted features. Implement scalable backend services (APIs, workers, execution engines) using Python/TypeScript/Go, leverage distributed processing (Spark/Flink), ensure data quality, lineage, and SLA monitoring, and collaborate across product, frontend, and QA while mentoring peers.