Banking Manager jobs in Germany

• Adding new functionality to the platform,

• Optimizing cost-to-serve and latency on a platform level or optimizing via consultation on the application level, and

• Improving self-serve and monitoring capabilities.

General platform optimizations are usually achieved by developing or using advanced data structures and algorithms, while application-level optimizations are mostly rooted in a deep understanding of designing information retrieval systems. The core components of Cassini are written in modern C++, and we use parallel and distributed computation to power query serving. If you have a background in those areas and would like to contribute to achieving our mission, please come join us!

• Lead and develop a team of skilled C++ developers of eBay's search platform
• Set and drive technical direction for the team, ensuring scalable, high-performance, and maintainable architecture.
• Partner multi-functionally with product, science, and front end teams to deliver intuitive, end-to-end shopping experiences.
• Champion engineering standard processes, including use of AI-assisted development tools, automated testing, and modern CI/CD workflows.
• Guide the development efforts of a team dedicated to excellence of the search platform.
• Cultivate a culture of collaboration, curiosity, and continuous improvement within the engineering team.

• Bachelor's or Master's Degree in Computer Science or a closely related field, accompanied by 5 years of proven experience, or equivalent experience in place of the degree
• Experience in leading or managing software engineering teams.
• Deep, demonstrable expertise using modern C++ standards (C++17/20 or later) for high-performance computing
• Expertise in building scalable, distributed systems
• Excellent communication and teamwork skills across diverse teams and interested parties.
• Experience in e-commerce or logistics is a plus.

Leadership & Team Development:

• Disciplinary and functional leadership of a team of 5–6 equipment and maintenance engineers, plus 2–3 cleanroom operators.

• Actively steer the team, manage talent development, and drive performance management.

• Support headcount growth from 3 to 6 engineers and integrate additional cleanroom operators effectively.

Equipment Management:

• Oversee maintenance and lifecycle management ofmanufacturing-relatedequipment within a cleanroom environment.

• Manage equipment assets valued at over €30 million.

• Drive sourcing, evaluation, and implementation of new equipment to meet ramp-up requirements.

• Create and maintain comprehensive equipment databases and correlated processes.

Operational Excellence:

• Ensure adherence to cleanroom standards and best practices, including 5S and floorstock management.

• Collaborate cross-functionally to align equipment strategies with production and business objectives.

• Implement continuous improvement initiatives to optimize equipment reliability and efficiency.

Qualifications:

• Bachelor’s or Master’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, or related field.

• Proven experience in equipment engineering and maintenance within a cleanroom or high-tech manufacturing environment.

• Strong leadership skills with experience managing and developing technical teams.

• Solid understanding of equipment sourcing, installation, and lifecycle management.

• Excellent organizational and communication skills; ability to manage complex projects and budgets.

Preferred Skills:

• Experience with equipment databases and process documentation.

• Familiarity with cleanroom operations and standards.

• Knowledge of lean manufacturing principles and continuous improvement methodologies.

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.

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 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.

• Excellent German language knowledge.