• Manage timely and accurate payroll execution for multiple European countries and entities
• Collaboration with internal and external partners (outsourced payroll vendor, HR, Benefit and Stocks Team, authorities and auditors)
• Evaluate internal work processes and service deliveries, make recommendations and support implementing changes for improved efficiencies
• Partner with various teams to improve and streamline processes
• Chip in to payroll relevant projects
• Ensure perfect communication with the business and employees and be accountable for delivering on ad hoc queries
• Adhere to Things we value and behaviors, and uphold high ethical standards

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).

• 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.

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.

What you will accomplish:

• Learn eBay policies and procedures to detail results for the Jewelry Verification program.

• Apply standard grading and identification methodology

• Initiate and solve exceptions.

• Apply knowledge of jewelry to identify characteristics and treatments present in gemstones

• Collaborate with a diverse group of individuals.

• Implement verification for all categories

What you will bring:

• Gemological Laboratory grading and identification with minimum 1 year experience required.

• Diamond grading experience preferred

• Math proficiency: including but not limited to division, fractions and percentages

• Collaboration: Interface well with others, knows who to go to and how to communicate issues/needs.

• Strong analytical thinking

• Proficient in both German and English

Procurement and Legal Billing Specialist (d/f/m) will play a vital role in supporting the legal team by handling various operational tasks, with a primary focus on vendor management and ebilling management. This position requires a meticulous individual with strong organizational and communication skills, a proactive approach, and a passion for continuous improvement.

Key Responsibilities:

• Act as liaison for legal vendors, managing RFPs, onboarding, and contract negotiations.

• Oversee eBilling processes and support law firm management, including invoice review and issue resolution.

• Analyze billing practices, support quarterly/year-end reporting, and ensure financial accuracy.

• Build reports and dashboards using advanced Excel functions and AI tools for data analysis.

• Support onboarding of new legal team members and handle related administrative tasks.

• Streamline legal operations by developing standardized processes, automating workflows, and managing ad hoc projects.

What you will bring:

• 4+ years of legal operations experience (preferably in-house) with strong knowledge of legal services and law firm operations.

• Skilled in procurement processes, e-billing systems (ideally Onit), and supplier contract negotiation.

• Familiar with AI applications in the legal field and an advocate for innovation and efficiency.

• Proficient in Google Workspace with proven ability to manage multiple workstreams and tight deadlines.

• Motivated to take on increasing responsibility and expand into more substantive legal operations work.