Jobs at Shippeo

Leads strategic sales across North America and Europe, managing senior account executives, growing global customers, acquiring enterprise logos, and closing complex multi-year SaaS agreements. Responsibilities include executive engagement, team coaching, account expansion, forecasting, pipeline governance, MEDDPICC adoption, AI-enabled selling, and cross-functional coordination. The role requires ownership of major customer relationships, seven-figure deals, and international commercial alignment.

Drive enterprise sales growth across the French and broader EMEA markets. Responsibilities include generating pipeline, collaborating with SDRs, managing complex multi-stakeholder deals, conducting supply chain business analysis, delivering product demonstrations, forecasting, coordinating internal teams, and contributing to commercial strategy. The role requires consultative selling, C-level relationship development, and fluency in French and English.

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.

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.