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Support post-sales customer journey for the DACH market: implement post-sales strategy, resolve customer issues, design scalable processes, manage onboarding/claims/delivery, align cross-functionally with Tech and Logistics, and communicate with customers via phone and email.

Manage end-to-end onboarding, employee administration, documentation, and daily office operations. Serve as first point of contact for people processes, coordinate benefits and offboarding, maintain internal policies, organize events, manage vendors and reception, and continuously improve HR and workplace workflows.

Support M&A deal sourcing, outreach, and pipeline management; assist financial modeling, valuation, market research, and basic diligence; prepare materials for LOI and internal review; support integration planning and stakeholder coordination. Report to the Founder and gain end-to-end M&A experience in a fast-scaling, AI-enabled supply chain company.

Own the Salesforce roadmap and backlog, translate cross-functional needs into requirements, design and deliver declarative automation, scope and review Apex and integrations with developers, manage day-to-day administration, ensure data quality and governance, and act as the single Salesforce stakeholder across the business.

Own end-to-end onboarding, employee administration (benefits, records, offboarding), maintain internal documentation and processes, manage day-to-day office operations, coordinate events and receptions, and serve as first point of contact for employee questions to ensure a well-organized workplace experience.

The Head of Partner Sales, EMEA will drive supplier acquisition and commercial growth, build a sales team, and collaborate across functions to enhance partner experiences across EMEA markets.

Support growth and go-to-market activities by managing lead distribution, prospecting and outreach, executing customer communications, assisting sales operations, identifying process improvements, and partnering with founders and the Growth Chief of Staff on strategic sales initiatives.

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.

Own and develop the Smart Risk Engine end-to-end: feature strategy, model training, calibration, backtesting, drift monitoring, and explainability. Build cloud-based data science solutions and robust MLOps pipelines. Design credit-risk use cases (early-warning, loss databases, exposure steering, portfolio insights), collaborate with stakeholders, and mentor junior data scientists to drive measurable business impact.