• Design the strategy and roadmap for evolving ranking rules and monetization products. • Translate complex business objectives into logical requirements for engineering and data teams. • Continuously analyze the performance funnel and the impact that ranking changes have on overall revenue and the sellers ecosystem. • Ensure a culture of experimentation, isolating variables to understand the true impact of each change on visibility and conversion. • Align expectations with stakeholders in commercial, pricing, and operations teams.

• Run the day to day - lead agile rituals for marketing engineering workstreams (planning, backlog refinement, reviews/retros) across a global team. • Own, groom, and prioritize backlog for Marketing Engineering initiatives aligned to the Marketing PM’s roadmap. • Write detailed user stories, tasks, and acceptance criteria that accurately reflect business goals and user needs. • Partner with developers, stakeholders, UX/UI designers, Product, and content strategists to deliver initiatives end-to-end. • Support feature and content delivery for aapc.com, including templates, landing pages, navigation updates, conversion improvements, and technical SEO needs. • Act as the primary day-to-day liaison between Marketing Engineering and stakeholders in Marketing, the larger Product organization, Content, Design, and Engineering groups. • Help maintain strong agile/product hygiene (clear definitions of done/ready, healthy backlog, visible progress).

• Drive Transformation & Process Design: Lead end-to-end business analysis across Finance, Operations, Accounting, and Sales Product management with ongoing support to the enterprise • Redesign workflows by identifying inefficiencies, gaps, and automation opportunities • Develop clear requirements, user stories, and acceptance criteria aligned to strategic goals • Deliver Data-Driven Insights: Analyze financial and operational data to identify trends and optimization opportunities • Build data models, business rules, and reporting frameworks to inform decision-making • Ensure data quality and integrity across systems • Enable Technology & AI Solutions: Partner with engineering and AI teams to translate business needs into scalable solutions • Support the design of automation, AI-enabled use cases, and decision-support tools • Contribute to testing efforts including UAT, validation, and defect resolution • Collaborate & Influence: Act as a key liaison between business and technical teams • Facilitate workshops and working sessions to drive alignment and outcomes • Communicate progress, risks, and insights to senior stakeholders

• Verantwortung für den Lernerfolg und die Motivation der Teilnehmenden • Begleitung und Unterstützung der Lernenden im Flipped-Classroom-Modell • Förderung der aktiven Auseinandersetzung mit den Lerninhalten • Motivation der Teilnehmenden für ein gutes Lern- und Arbeitsklima • Betreuung der individuellen Bearbeitung der Aufgabenstellungen im Rahmen der Projektarbeit+ • Bewertung der Projektarbeit • Unterstützung bei der (Weiter-)Entwicklung des Produkts • Unterricht aus dem Homeoffice