Mobile Native Engineering Manager jobs at Ebay in Netherlands, Amsterdam

What you will accomplish:

• Craft a platform for eBay sellers and advertisers to measure, in near real time, the performance of their advertising campaigns, and improve sales

• Manage a team of software engineers who develop and deploy systems using Clickhouse, Open Search, Kafka, Scala, Java, Hadoop, and Spark

• Build highly available, scalable software applications while maintaining a cadence of building, testing, and deploying code in a continuous manner

• Work closely with designers, product managers, data analysts, and other specialists (frontend, backend, machine learning) to redefine the advertising space for eBay and beyond.

• Operate within eBay’s internal open-source community where a variety of projects and codebases are shared.

• Lead by example and share knowledge with the team, contributing to technical conversations and debates, and deciding upon approaches and tools to use.

What you will bring:

• Broad understanding of Computer Science and well developed ability to grasp, simplify, articulate, communicate and publish complex arguments

• Proven experience leading and developing engineering talent; fostering a diverse and inclusive culture in your team

• Strong experience with JVM languages like Java, Kotlin and Scala

• Experience with big data technologies like Hadoop, Kafka and Spark

• Successfully worked with partner engineering and product teams

Responsibilities:

• Own the roadmap for Promoted Stores Ads Campaign Optimization

• Work closely with sellers and seller research to understand their priorities and needs.

• Work closely with buyer research to understand eBay’s buyer experience.

• Work closely with eBay leadership and internal teams to understand our strategic direction and ads portfolio.

• Drive the optimization of Promoted Stores campaign management reporting and optimization in alignment with its value proposition.

• Work with applied research scientists to provide campaign management guidance to our sellers.

• Define with the design team new seller-facing Promoted Stores reporting and optimization capabilities.

• Partner with engineering and go-to-market teams to develop and launch this new capabilities.

Required Qualifications:

• 5+ years of Product Management experience in retail media networks sponsored/promoted advertising.

• Track record of developing and launching new customer-facing features.

• Demonstrable complex and creative problem solving to meet goals.

• Proven impact on delivering value to customers.

• Ability to work well with a variety of people ranging across technical levels.

• Outstanding verbal and communication skills, including effective communication with senior leadership.

Preferred Qualifications:

• Knowledge of the digital advertising and e-commerce ecosystems

• Experience and familiarity with CPC or CPM advertising products.

• BS or MS Degree in a technical field.

• MBA

What you will accomplish:

• Craft a platform for eBay sellers and advertisers to measure, in near real time, the performance of their advertising campaigns, and improve sales

• Manage a team of software engineers who develop and deploy systems using Clickhouse, Open Search, Kafka, Scala, Java, Hadoop, and Spark

• Build highly available, scalable software applications while maintaining a cadence of building, testing, and deploying code in a continuous manner

• Work closely with designers, product managers, data analysts, and other specialists (frontend, backend, machine learning) to redefine the advertising space for eBay and beyond.

• Operate within eBay’s internal open-source community where a variety of projects and codebases are shared.

• Lead by example and share knowledge with the team, contributing to technical conversations and debates, and deciding upon approaches and tools to use.

What you will bring:

• Broad understanding of Computer Science and well developed ability to grasp, simplify, articulate, communicate and publish complex arguments

• Proven experience leading and developing engineering talent; fostering a diverse and inclusive culture in your team

• Strong experience with JVM languages like Java, Kotlin and Scala

• Experience with big data technologies like Hadoop, Kafka and Spark

• Successfully worked with partner engineering and product teams

Curious to learn more? Here are some useful resources about eBay Advertising Space:

• Build and manage a strong, diverse, and inclusive organization to operate in a highly matrixed cross-functional environment

• Organizational and cross-organizational impact through designing, iterating on, and delivering processes supporting eBay engineering

• Contribute to technical conversations and debates, and decide upon approaches and tools to utilize

• Ensure alignment of technical strategy across the organization

• Optimize the apps performance and user experience

• Stay updated with the latest industry trends across mobile and AI technologies to ensure our mobile applications are cutting-edge

• Balance strong ownership and teamwork

• Research, innovate, deliver and grow

• BS/MS in Computer Science or related field along 10+ Yrs experience in total in mobile software engineering with min 3+ yrs as a manager managing teams

• Hands-on strong experience with development in iOS (Swift/Obj-c) and/or Android (Kotlin/Java)

• You have great interpersonal skills, deep technical ability, and a portfolio of successful execution

• Experience managing Engineering teams, defining strategy and objectives

• Strong ability to collaborate with other people, teams and functions across the world

• Experience planning projects, and the wisdom to know when to shift priorities amid a rapidly changing business environment

• Experience with Jira (or other issue tracking software), familiarity with OpenAPI/Swagger, exposure to the Agile process

• Knowledge of core CS concepts such as common data structures and algorithms

• Code samples from private github repos, side projects, and open source project contributions is a plus

• We are a close-working group, focused on communication and constant improvement in a regularly changing product environment.

• Our team is at the forefront of eBay’s feature products and our work contributes directly to the success of the company.

• We work closely with engineers across eBay and around the world. If you enjoy learning and working with skilled engineers from a variety of experiences and walks of life, this is a good place to be.

As a leader, you will guide a multidisciplinary team of engineers and scientists in developing, deploying, and maintaining innovative AI solutions. Your work will span the entire lifecycle of AI/ML models and applications, from initial design and development to production deployment and optimization, ensuring seamless integration into customer-facing experiences.

You will collaborate across domains to deliver AI-driven solutions that delight customers and enable scalable innovation throughout the organization. Your role also involves fostering a culture of operational excellence, evangelizing standard processes, and pushing the boundaries of what AI can achieve.

• Strategic Leadership: Define and implement the vision and roadmap for AI Engineering & Operations, ensuring alignment with organizational goals and the broader AI strategy.

• System Design and Deployment: Drive the development and maintenance of scalable, resilient, and efficient AI systems, ensuring operational excellence across the entire lifecycle.

• Operational Automation and Optimization: Lead the adoption of automation and standard processes to enhance system reliability, scalability, and performance.

• Collaboration and Empowerment: Build strong partnerships across teams, fostering a culture of shared ownership, transparency, and innovation in delivering AI-driven solutions.

• Team Leadership: Cultivate a high-performing, multidisciplinary team by empowering individuals, optimizing roles, and fostering a collaborative environment for growth and innovation.

• Continuous Improvement:

AI/ML Engineering

• Expertise in operationalizing, optimizing, and deploying AI models and applications.

• Deep understanding of AI systems, encompassing both model development and the integration of AI-driven applications into production environments.

• Experience with model lifecycle management, including training, validation, deployment, monitoring, and updates.

Pipeline Development & Automation:

• Proficiency in designing robust AI pipelines and integrating services and vector stores.

• Experience in automating workflows and implementing self-healing systems.

DevOps & Infrastructure:

• Solid understanding of CI/CD pipelines and infrastructure-as-code (IaC).

• Experience with monitoring, logging, and alerting tools.

• Proven ability to manage containerized environments and cloud platforms.

Operational Excellence:

• Skills in system performance optimization, incident management, and root cause analysis.

• Experience in designing reusable operational frameworks and tools.

Leadership & Collaboration:

• Ability to lead multidisciplinary teams, fostering a collaborative and innovative environment.

• Proven track record of working with multi-functional teams to deliver sophisticated solutions.

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