Senior Manager jobs in Germany

In this role, you will:

• Drive the operational launch and execution of new strategic initiatives in the Collectibles space, ensuring seamless coordination across product, operations, and marketing teams.

• Accelerate adoption and performance of innovative programs, identifying opportunities to improve efficiency, scalability, and impact.

• Partner with senior leaders to prepare strategy updates, business cases, and stakeholder communications, driving alignment across the organization.

• Contribute to future growth projects, from pilot design through to rollout, building repeatable frameworks that deliver long-term business results.

• Leverage analytics and market insights to guide decision-making, track performance, and measure impact.

We are looking for someone who:

• Has 4+ years of experience in top-tier management consulting or in e-commerce with a strong focus on strategy and cross-functional program leadership.

• Thrives in a fast-paced, strongly growing environment, with the ability to translate strategy into execution.

• Demonstrates strong project management skills, balancing multiple initiatives and stakeholder groups effectively.

• Possesses excellent communication skills, creating impactful narratives for both executive and cross-functional audiences.

• Brings a structured, problem-solving mindset with a bias for action and tangible results.

• Is fluent in English (German a strong plus).

As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.

• Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.

• Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.

• Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.

• Mentor junior researchers and engineers, setting the bar for technical excellence and helping to establish and improve scientific processes across the organization.

• Act as a key technical voice in discussions across teams, influencing technical direction and contributing to the broader org and company strategy.

• An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.

• Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.

• Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.

• Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.

• Excellent communication, collaboration, and mentoring skills, with a track record of influencing others and driving consensus.

• PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.

• A history of publishing in top-tier academic conferences is a strong plus.

• Lead and develop a team of skilled iOS and Android engineers, fostering technical excellence, innovation, and growth.

• Set and drive technical direction across both platforms, ensuring scalable, high-performance, and maintainable architecture.

• Stay hands-on in iOS development — contributing to design reviews, architecture discussions, and implementation when needed.

• Partner cross-functionally with product, design, and backend teams to deliver intuitive, end-to-end shipping experiences.

• Champion engineering best practices, including use of AI-assisted development tools, automated testing, and modern CI/CD workflows.

• Balance short-term delivery needs with long-term architectural health to ensure sustainable product growth.

• Cultivate a culture of collaboration, curiosity, and continuous improvement within the engineering team.

• 10+ years of professional software development experience, with at least 7 years focused on native mobile (iOS and Android).

• Strong hands-on expertise in iOS (Swift, UIKit, SwiftUI, Combine) and a solid grasp of Android (Kotlin, Jetpack, Compose).

• 2+ years of experience leading or managing mobile engineering teams.

• Proven record of delivering impactful, large-scale consumer mobile products.

• Deep knowledge of mobile architecture patterns (MVC, MVVM, MVI, VIPER, etc.).

• Excellent communication and collaboration skills across diverse teams and stakeholders.

• A passion for user experience, developer productivity, and building high-quality products.

• Experience in e-commerce or logistics is a plus.

As a Paid Social Media Manager , you’ll bring eBay’s brand to life across social platforms through meaningful, data-driven campaigns that connect with diverse audiences and deliver measurable results.

• Develop and execute inclusive and effective paid social strategies that support marketing and business goals across the full customer journey—from awareness to conversion.

• Plan, launch, and manage social campaigns across multiple platforms, ensuring efficient budget use and alignment with key performance goals.

• Analyze and optimize campaign performance, turning insights into action to continuously improve results and scale impact.

• Collaborate closely with cross-functional teams, media planners, brand partners, and agencies to ensure alignment, transparency, and smooth execution.

• Test and learn: run A/B and multivariate tests to identify what resonates most—across creative, audiences, and bidding strategies—and apply those findings in future campaigns.

• Champion innovation:

• 4+ years of experience in paid digital media, including at least 3 years focused on paid social (e.g., Meta, TikTok, Pinterest, Snapchat, Reddit).

• A strong grasp of social advertising, platform capabilities, audience insights, and evolving industry trends.

• Validated experience running and optimizing campaigns with a data-informed, test-and-learn approach.

• Excellent collaboration skills—comfortable working in a cross-functional, multicultural environment with diverse partners.

• Analytical approach and attention to detail, with the ability to translate data into clear, actionable recommendations.

• Strong communicator and relationship builder, able to influence and align across teams with empathy and clarity.

• Bachelor’s degree or equivalent practical experience.

• Design, deliver, and maintain significant features in data pipelines, ML processing, and / or service infrastructure

• Optimize software performance to achieve the required throughput and / or latency

• Work with your manager, peers, and Product Managers to scope projects and features

• Come up with a sound technical strategy, taking into consideration the project goals, timelines, and expected impact

• Take point on some cross-team efforts, taking ownership of a business problem and ensuring the different teams are in sync and working towards a coherent technical solution

• Take active part in knowledge sharing across the organization - both teaching and learning from others

• B.Sc. or M.Sc. in Computer Science or an equivalent professional experience

• 7+ years of software design and development experience, tackling non-trivial problems in backend services and / or data pipelines

• Full proficiency in Python; additional hands-on experience with Java is a plus!

• Solid foundation in Computer Science with strong proficiencies in Data Structures, Algorithms, Object-Oriented Programming, and Software Design

• Experience in designing and operating Big Data processing pipelines, such as: Hadoop, Spark, Hive

• Track record of impactful publications and/or patents in machine learning or related areas.

• Contributions to open-source ML tools or frameworks.

• Experience with modern large language models, graph-based ML, or knowledge graph construction.

• Strong presence in scientific communities through talks, panels, or organizing roles.