Digital Product Manager

RUSSIAN LANGUAGE IS MANDATORY. About Gloria Jeans: We are a fashion retail group that started as a denim specialist in 1988 and has grown into a leading regional fast-fashion retailer with over 600 stores, a strong online presence, more than 7,000 employees, and close to 1 billion USD in revenue. We bring style and value to millions of customers, offering clothing, footwear, and accessories for women, men, and children, while expanding into new product lines such as home and beauty. We believe fashion should be inspiring, accessible, and constantly evolving. Role Overview: Managing the development of digital storefronts for an online store (mobile app and website), including the sale of clothing and accessories, with a focus on maximizing profit, improving user experience, and achieving key business metrics (conversion, average check, revenue, product satisfaction). Key Responsibilities: 1. Digital Storefront Development (Mobile App / Website): • Managing sales through digital channels (clothing, accessories, cross-categories) with a focus on maximizing profit, increasing conversion, and average order value (AOV) • Understanding product categories and seasonality in fashion retail 2. Product Analytics & Systems Thinking • Building a Metric Tree: decomposing business metrics into actionable product hypotheses • Understanding and managing functional and technical dependencies (dependencies between storefront, search, filters, cart, integrations with ERP/WMS, loyalty systems, and recommendation engines) • Deep data analysis, hypothesis building, and data-driven decision making 3. Product Research & User Experience (Fashion): • Strong knowledge of the Fashion market: understanding trends, behavioral patterns, competitive landscape, key sales scenarios, and digital e-commerce processes and main scenarios (serch, purchase, payment, try-on, returns, etc) • Building CJMs (Customer Journey Map), scenario analysis, identifying user pain points, applying the Job To Be Done (JTBD) framework) • Competitor analysis and implementing best practices of e-commerce digital user experience • Experience conducting qualitative and quantitative research (A/B tests, surveys, NPS, CES) 4. Tools & Prioritization: • Proficiency with AI tools, design and prototyping tools, including Figma • Backlog prioritization using frameworks (RICE, ICE, or Weighted Scoring) aligned with OKRs 5. Teamwork & Collaboration: • Working with both external teams (contractors, integrators, agencies) and internal teams (development, design, marketing, merchandising, logistics) • Defining requirements for storefronts, recommendation systems, search, and other search result displays Requirement: • Must-have: Experience in e-commerce (fashion/retail preferred) • Must-have: Fluent spoken Russian and English • Must-have: Ability to build a Metric Tree and understand system dependencies • Must-have: Experience conducting customer development interviews and quantitative surveys • Nice-to-have: Knowledge of AI tools What we can offer: • Competitive compensation • Visa and healthcare insurance • Career growth in a fast-scaling global fashion retail environment • International exposure across multicultural teams and Middle East–focused projects Show more Show less

Must-have: Experience in e-commerce (fashion/retail preferred); Must-have: Fluent spoken English (Intermediate+ level); Must-have: Ability to build a Metric Tree and understand system dependencies; Must-have: Experience conducting customer development interviews and quantitative surveys

Digital Storefront Development (Mobile App / Website): manage sales through digital channels with a focus on maximizing profit, increasing conversion and AOV; understand product categories and seasonality in fashion retail. Product Analytics & Systems Thinking: build a Metric Tree decomposing business metrics into actionable product hypotheses; understand dependences between storefront, search, filters, cart, integrations with ERP/WMS, loyalty systems, and recommendation engines; deep data analysis and data-driven decision making. Product Research & User Experience (Fashion): possess knowledge of fashion market trends, behavioral patterns, competitive landscape, main e-commerce scenarios (search, purchase, payment, try-on, returns); build Customer Journey Maps, perform scenario analysis, identify user pain points, apply JTBD framework; conduct qualitative and quantitative research (A/B tests, surveys, NPS, CES). Tools & Prioritization: use AI tools, design and prototyping tools including Figma; backlog prioritization using RICE, ICE, or Weighted Scoring aligned with OKRs. Teamwork & Collaboration: coordinate with external teams (contractors, integrators, agencies) and internal teams (development, design, marketing, merchandising, logistics); define requirements for storefronts, recommendation systems, search and other search result displays.