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The Backend Engineer will design, develop, and maintain backend services with AI/ML capabilities, focusing on scalability, performance, and optimization of APIs and distributed systems.

Support design and optimization of supply chain processes, collaborate with engineering to implement automation, engage and manage supplier relationships, handle third-party communications, assist day-to-day operations, and work cross-functionally to drive efficiency and growth.

Support post-sales customer journey for the DACH market by improving customer experience, optimizing scalable processes, managing onboarding, claims and delivery issues, driving cross-functional alignment with Tech and Logistics, and engaging customers via phone and email to resolve inquiries and increase lifetime value.

Own and develop the Smart Risk Engine end-to-end: design features, train and calibrate models, implement backtesting, drift monitoring and explainability, build ML pipelines and cloud-based data science solutions, create credit-risk use cases (early-warning, loss databases, exposure steering), and influence senior stakeholders.

Own top-of-funnel outbound for an AI supply-chain startup: cold calling, LinkedIn/email cadences, prioritizing target accounts, booking qualified meetings with procurement leaders, and feeding market insights back to product and GTM.

Act as a founder-level operator to build scalable operating systems, run hiring, manage finances and KPIs, drive strategic projects (market entry, pricing, partnerships), and lead fundraising and investor relations. Embed AI-native automation into workflows and represent the founders across stakeholders to keep execution fast and aligned.

Work closely with founders to build operating systems, hiring processes, financial reporting, and strategic projects for an AI-driven supply-chain startup. Drive fundraising, investor relations, and cross-functional execution to scale the company.

Lead go-to-market for an AI supply-chain startup: run enterprise sales from discovery to close, build sales materials and processes, hire and scale the GTM team, apply MEDDIC/MEDDPICC, convert wins into references, and refine ICP through field learnings. Work closely with CEO/COO and represent the company in customer meetings and events.

The Head of Sales for DACH will develop strategies to achieve revenue targets, manage the sales team, analyze market trends, and collaborate with operations and tech teams.

Lead a P&L-relevant B2B product area end-to-end (logistics automation, pricing, or embedded finance). Run user discovery, set measurable targets, prioritize with engineering, ship MVPs, iterate using data and margin impact, and own post-launch outcomes.