Product Owner

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of Ntara

Ntara

11 - 50 Mitarbeiter

🏭 Fertigung

📦 Logistik

📣 Marketing

Manufacturing • Logistics • Marketing

Ntara ist eine digitale Beratungs- und Softwareimplementierungsagentur. Wir sind auf die Standardisierung von Produktprozessen und die Optimierung von Technologien spezialisiert. Zudem implementieren und passen wir verschiedene Softwarelösungen an, einschließlich Product Information Management (PIM), Master Data Management (MDM), Digital Asset Management (DAM) und E-Commerce. Unser Team entwickelt transformative digitale Lösungen für die Fertigungsindustrie und deren Kunden, von B2B-Händlern bis hin zu Endverbrauchern. Wir verfügen über umfangreiche technische Expertise, insbesondere bei komplexen Integrationen, und haben Hintergründe in der Forschung. Wir führen Forschungen für unsere Kunden durch. Diese Erkenntnisse helfen ihnen dabei, konsistente und differenzierte Kundenerlebnisse für verschiedene Menschen in verschiedenen Phasen der Kaufreise zu schaffen.

Beschreibung

• Define and maintain the product vision, strategy, and roadmap for Ntara’s internal AI initiatives • Identify, evaluate, and prioritize AI and automation opportunities aligned with company goals • Translate ambiguous business problems and emerging AI capabilities into sequenced initiatives • Own and groom the product backlog, including epics, features, user stories, and acceptance criteria • Facilitate sprint planning, backlog refinement, reviews, and retrospectives • Make prioritization decisions balancing feasibility, data readiness, business impact, and effort • Serve as the primary contact for delivery teams, unblocking decisions and clarifying requirements • Bridge business stakeholders, engineers, data scientists, and leadership • Facilitate discovery sessions and define requirements, workflows, and success metrics • Present roadmap updates, demos, and outcomes to stakeholders and leadership • Gather internal user feedback and adjust the backlog and roadmap • Champion responsible AI practices, including data privacy, bias, transparency, and human oversight • Define quality, performance, and evaluation criteria for AI features • Monitor adoption and performance of shipped AI capabilities • Maintain documentation of decisions, requirements, and known limitations • Drive change management and enablement for adoption of AI tools and workflows • Identify and address training, workflow, and trust barriers • Build the business case and communicate AI initiative value to stakeholders and executives

🎯 Anforderungen

• Bachelor’s degree in Business, Computer Science, Information Systems, or related field preferred; equivalent professional experience may be considered instead of a formal degree • Agile or Scrum certification such as CSPO, PSPO, or equivalent preferred • 5+ years of experience as a Product Owner, Product Manager, or similar product leadership role • Demonstrated ownership of a product roadmap and backlog • 2+ years of experience working directly on AI, machine learning, or data-driven product initiatives • Experience with generative AI or agentic workflows is ideal • Experience leading product initiatives end-to-end from discovery through launch and adoption • Experience working in ambiguous or evolving environments • Experience facilitating Agile ceremonies, including sprint planning, backlog refinement, reviews, and retrospectives • Experience presenting product strategy and outcomes to executive leadership and non-technical stakeholders • Experience driving change management or adoption efforts for new tools, workflows, or technology • Strong understanding of AI and machine learning concepts, including large language models, generative AI, and agentic systems • Proficiency with Agile project management and collaboration tools such as Jira, Azure DevOps, or similar • Experience writing epics, user stories, and acceptance criteria for traditional software and AI-driven features • Familiarity with data quality, data governance, and data requirements for successful AI products • Understanding of responsible AI principles, including bias mitigation, transparency, and human oversight • Ability to read and interpret technical documentation and communicate technical concepts to non-technical stakeholders • Prior consulting, agency, or professional services experience is a plus • Familiarity with PIM, DAM, or ecommerce platforms is a plus • Experience with prompt design, model evaluation, or collaboration with data science and engineering teams is a plus

🏖️ Vorteile

• Competitive salary • Collaborative, growth-oriented culture • 401K with matching contributions • Top-notch employee healthcare options • Paid vacation days, holidays, and personal days • Opportunity to make a measurable impact • Great Place to Work® Certified™ Company • 100% remote work • Occasional travel for key internal workshops, planning sessions, or team gatherings, scheduled with plenty of notice • Working schedule in EST is preferred

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