TL;DR
AI Product Manager (AI): Crafting and driving the product vision, strategy, and roadmap for integrating AI solutions across a supply chain, with an accent on aligning initiatives with business goals and maximizing value creation. Focus on designing operating models for quick identification of AI opportunities, rapid development of pilots/MVPs, and managing the AI product lifecycle.
Location: Hybrid in Istanbul, Turkey
Company
Our client is a globally known jewelry manufacturer, integrating AI across their supply chain.
What you will do
- Craft and drive the product vision, strategy, and roadmap for integrating AI solutions across the supply chain.
- Foster close collaboration with product directors and stakeholders to align AI initiatives with strategic objectives.
- Champion the co-creation, prioritization, and delivery of AI-driven solutions to address business needs.
- Provide guidance on functional implications of technical decisions and promote seamless AI integration.
- Lead innovation by leveraging AI advancements and contributing to shaping the direction of AI products and domains.
Requirements
- 7-10 years of experience in Product or Project Management within retail, consumer brands, supply chain, or AI-focused industries.
- Educational background in Computer Science, Engineering, AI, or related fields.
- Expertise in AI and machine learning technologies, with a proven track record of enabling AI solutions.
- Strong stakeholder management skills to navigate diverse perspectives and prioritize product backlogs.
- In-depth knowledge of AI capabilities, industry trends, and proactivity in identifying AI opportunities.
- Proactive and structured approach to AI product management, coupled with robust execution skills and understanding of AI product lifecycle challenges.
Nice to have
- Previous exposure to AI accelerators, incubators, rapid experimentation, design thinking, and service design.
Culture & Benefits
- Paid Vacation
- Hybrid Work (home/office)
- Sick Days
- Sport/Insurance Compensation
- Holidays Day Off
- English Classes
- Training Compensation
- Transportation compensation
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