You manage the backlog, prioritize based on value, and translate epics and features into user stories including clear acceptance criteria.You ensure Definition of Ready and Definition of Done, orchestrate refinement sessions, manage dependencies and testability, and thereby enable efficient, low‑risk delivery.You ensure that requirements contribute directly to customer value, conversion, checkout efficiency, and overall KPI impact.You coordinate deliveries with internal and external development teams (without coding yourself) and ensure high implementation quality.You support the release and quality concept (regression, functional, end‑to‑end testing) and drive the further development of test automation and stable releases across connected systems.You provide management‑level reporting on status, risks, forecasts, and dependencies (e.g. quarterly, depending on governance).You systematically identify growth opportunities, collaborate closely with relevant stakeholders, bridge technical and business perspectives, and actively contribute to further professionalizing and scaling our webshop. What makes you stand out You have several years of experience as a Product Owner, (Digital) Product Manager, Business Analyst, or in a comparable role within an eCommerce or platform environment.You have a strong understanding of Agile/Scrum, refinement, sprint planning, prioritization, and stakeholder management, and are experienced in translating complex requirements into clear, testable user stories.You have a strong interest in technical concepts and are able to understand and structure system landscapes, interfaces, and data flows.Ideally, you have experience with Adobe Commerce (Magento) or comparable eCommerce platforms.Experience working with downstream systems such as CRM (e.g.
As a Technical Account Manager (TAM) at SCAYLE, you will be the strategic and technical point of contact for a portfolio of 5-10 enterprise E-Commerce SaaS customers.
What you will do Technical Authority: Define backend architecture standards, hosting strategies, and binding technical directions across all agency projects.
Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
We are currently looking for a skilled & passionate Technical Operations Manager (m/f/d) to become part of our Supply Tech Enabling Team within our Supply Tech Unit at ABOUT YOU. You will take end-to-end ownership of a business model cluster (e.g., wholesale or dropshipping).
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
As a fashion and technology company, we work together towards our goal of making the shopping experience more inspiring and personal for our customers. We are currently looking for a skilled & passionate Technical Business Analyst (m/f/d) to join our Commerce Finance Tech Circle Cluster at ABOUT YOU! Our ABOUT YOU Commerce Finance Tech Circle Cluster is responsible for connecting to the ABOUT YOU Commerce ERP solution to ensure the regulatory compliance of our commerce business.
What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
We are currently looking for a skilled & passionate Senior Technical Project Manager (m/f/d) to become part of our Supply Tech Team at ABOUT YOU. Our Supply Tech team focuses on the technology and systems that power our supply chain, from initial procurement and product data management to inventory and shipping.
We are currently looking for a skilled & passionate Technical Process Owner (m/f/d) to become part of one of our Supply Tech team at ABOUT YOU! This role combines the core responsibilities of a Product Owner with a deep focus on technical process ownership.
. --------------------------------------------- Senior Data Scientist Data Science & Advanced Analytics Frankfurt, Germany The Senior Data Scientist is responsible for designing, deploying and continuously optimizing scalable ML solutions that translate business requirements into measurable impact across EMEA markets. The position combines technical execution with business alignment, ensuring solutions remain adaptable to evolving commercial needs while maintaining architecture consistency and standardization.