Jobs at sennder

Acquire and grow large enterprise shipper accounts across Europe’s full-truckload freight market. Responsibilities include lead generation, complex tender and RFP management, enterprise negotiations, pricing and margin ownership, pipeline management, executive relationship building, and cross-functional onboarding. The role requires developing strategic partnerships, meeting revenue targets, using data and AI for prioritization, and traveling frequently for customer and regional meetings.

Manage and grow an existing customer portfolio in road freight logistics. Responsibilities include processing orders, entering data, communicating shipment updates, building customer relationships, negotiating transactional sales, identifying expansion opportunities, preparing business reviews, and monitoring transport operations. The role is fully onsite in Barcelona and requires strong English and Spanish communication skills, commercial ability, and customer relationship management experience.

Acquire and grow large enterprise shipper accounts across Europe’s full-truckload freight market. Responsibilities include lead generation, complex deal orchestration, RFP and tender leadership, pricing and margin management, pipeline ownership, executive relationship development, and cross-functional onboarding. The role requires frequent regional travel, strong logistics procurement expertise, German fluency, English proficiency, and effective use of digital and AI-enabled tools.

Design, build, and operate scalable full-stack services for sennder’s freight platform. Lead architectural decisions, develop microservices and APIs, improve DevOps and engineering practices, and manage projects through delivery and operation. Collaborate with product managers and cross-functional teams to deliver reliable features, infrastructure, observability, and automation. Apply Python, Kafka, PostgreSQL, Vue.js, AWS, Kubernetes, Terraform, and CI/CD practices while using AI-enabled engineering tools to improve productivity and quality.

Drive strategic and corporate development initiatives from the CEO Office: develop financial models, business plans, and pitch decks; lead cross-functional projects including AI-first and finance transformation programs; support CEO and executives, coordinate stakeholders, prepare board materials, and run market and competitive analysis to identify growth opportunities.

Leads strategic and cross-functional initiatives from conception through implementation within the CEO Office. Responsibilities include AI transformation and strategic finance programs, business planning, financial modeling, market and competitive analysis, executive and board meeting preparation, stakeholder alignment, and support for the CEO and executive team.

Provide remote and on-site IT support across Berlin and other offices. Resolve tickets within SLAs, troubleshoot hardware, software, Microsoft 365, networking, and workplace technology issues, and manage equipment throughout the employee lifecycle. Maintain asset inventories, support meeting rooms and office technology, coordinate repairs and vendors, and contribute to documentation, process improvements, and local IT projects.

Lead and develop a team of Data Scientists and ML Engineers building production machine-learning systems for logistics. Drive AI adoption, roadmap prioritization, agile execution, and measurable business outcomes. Partner with Product Managers, Staff ML Engineers, and the MLOps platform team to deploy scalable solutions. The role requires deep hands-on experience with production ML, recommender systems, pricing algorithms, statistical models, and modern data and AI technologies, alongside strong people leadership and executive communication skills.

As an Account Representative, you will manage existing accounts, execute daily business operations, sell services, and build customer relationships. You'll work closely with peers to enhance efficiency and maximize profitability in the logistics sector.

Own core GL processes and month-end, quarter and year-end closings under IFRS and local GAAPs. Prepare journal entries, reconciliations, intercompany transactions, and statutory statements; support VAT and corporate tax compliance; provide audit documentation; collaborate with AP/AR/FP&A/Treasury; and help standardize accounting processes across the group.

Lead sennder's Data & ML organization end-to-end, build senior leadership bench, define data standards and one source of truth, commercialize ML for margin and cost impact, drive data quality as a business issue, and align data platform and governance with engineering and business stakeholders.

Lead sennder’s Data & ML organization (Analytics Engineering, Data Insights, Data & AI Platform, ML/Data Science). Build and coach leadership, define data standards and a single source of truth, improve data quality as a business priority, and commercialize ML/AI to drive margin, cost, and service improvements. Partner with CPTO and SVP Engineering to align technical standards, governance, and stakeholder adoption while delivering measurable business impact.

Lead and grow sennder's Benelux business with full P&L ownership. Drive commercial account management, lead carrier operations, build local teams, ensure operational excellence, partner cross-functionally, represent the company, and use data/AI tools to improve efficiency and service quality.

Design, prototype, and productionize ML models for pricing, carrier forecasting, and recommender systems. Lead applied research and product discovery, integrate LLMs and AI agents, collaborate with Product and MLOps to deploy and monitor models, and translate operational problems into measurable ML solutions that drive margin and efficiency.

Build and deploy production-ready ML models for pricing, carrier forecasting, and recommender systems. Conduct deep data science and statistical exploration, partner with product and operations to translate problems into ML solutions, integrate LLMs and AI agents, and collaborate with the MLOps platform to productionize and monitor end-to-end projects.

Design, prototype, and productionize ML models for pricing, carrier forecasting, and recommender systems. Conduct deep statistical analysis, partner with product and operations for discovery, integrate LLMs where appropriate, and collaborate with MLOps to deploy and monitor end-to-end solutions.