דרושים Software Engineering Manager Search ב-איביי ב-גרמניה

• 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.

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.

• 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 like to contribute to achieving our mission, please come join us!

• Understand, estimate, design, and develop sophisticated software applications in C++
• Deliver highly performing, low latency, robust code with high test coverage, continuous integration, and production monitoring
• Participate in code and design reviews
• Optimize development cycles through CI/CD enhancements and AI-driven tools
• Triage and debug production issues
• Share your knowledge with team members via documentation and mentoring

• 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
• Solid foundational knowledge and practical application experience in the field of Information Retrieval
• Deep, demonstrable expertise using modern C++ standards (C++17/20 or later) for high-performance computing
• Expertise in building scalable, distributed systems
• Strong intellectual curiosity and a tenacious drive to own and successfully solve ambiguous, difficult technical challenges
• Experience designing, instrumenting, and maintaining systems in a production environment (observability, alerting, monitoring, etc.)

• Drive the search monetization technical vision by incorporating and developing software engineering processes and standards to enhance eBay’s buying experience.

• Collaborate with scientists and product managers to deploy complex yet scalable core algorithmic logic.

• Create robust data pipelines and real-time monitoring and optimization algorithms.

• 4+ years of software design and development experience, solid foundation in computer science with strong proficiencies in data structures, functional programming, algorithms, OOPs, and Software Design

• Experience in designing and operating big data processing pipelines, such as: Hadoop, Spark, Hive, ETL

• 3+ years of software development experience in building large scale Web Services and Backend Applications using Java, C++, Scala, and related technologies

• Background or interest in mathematics or machine learning

• Excellent verbal and written communication, collaboration, and influencing skills

• Bachelor's degree in computer science/engineering or equivalent professional experience, with 5+ years of experience,

• Masters degree in computer science/engineering or equivalent professional experience, with 3+ years of experience.