Top Tech Jobs & Startup Jobs

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.

Leads product and engineering operations across the technology organization, including strategic planning, goal setting, AI adoption, portfolio and ROI reporting, dashboards, executive communications, and organizational effectiveness initiatives. Partners with senior stakeholders across Product, Engineering, Finance, Commercial, and Operations to drive outcome-focused prioritization and delivery. This is a one-year maternity cover contract based in Berlin, Barcelona, or Amsterdam.

Leads product and engineering operations across the Technology organization, including quarterly planning, goal setting, AI adoption, portfolio and ROI reporting, roadmap tracking, dashboards, executive communications, and special projects. The role partners with senior leadership and cross-functional teams to improve organizational effectiveness, enable data-driven decisions, and support technology strategy during a one-year maternity cover.

Leads strategic planning, operational cadence, AI adoption, reporting, budgeting, executive communications, and special projects across Product and Engineering. Partners with senior technology leadership and cross-functional teams to improve prioritization, organizational effectiveness, and data-driven decision-making. Prepares board updates, manages portfolio and ROI reporting, and supports technology transformation initiatives.