AI Product Manager

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PMI

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1 - 1 employés

📚 Éducation

🤝 À but non lucratif

Education • Non-profit

PMI est le Project Management Institute, une association professionnelle à but non lucratif de renommée mondiale qui établit des normes, propose des formations et des certifications, et soutient la pratique de la gestion de projet et de programme. PMI offre des certifications largement reconnues (PMP, CAPM, PMI-ACP, PMI-CPMAI, entre autres), publie des normes et des guides tels que le Guide PMBOK, organise des formations, des événements, des recherches et du leadership éclairé, et fournit des outils numériques et des solutions d'entreprise (par exemple, PMI Infinity) ainsi que des services d'adhésion à une communauté de professionnels de la gestion de projet (comptant plus de 800 000 membres).

Description

• Develop and communicate a clear product vision and strategy for AI products aligned with company goals and market needs. • Conduct market research to identify customer needs, market trends, and competitive landscape to inform product development. • Create and maintain a detailed product roadmap for AI products, ensuring alignment with business objectives. • Collaborate with engineering, data science, marketing, sales, and other teams to ensure successful product development and launch. • Prioritize user experience to ensure AI products are intuitive, user-friendly, and meet customer expectations. • Define and track KPIs to measure product success and drive data-informed decisions. • Manage stakeholders (executives, customers, partners) to gather feedback and ensure alignment. • Ensure AI products comply with relevant regulations and ethical standards.

🎯 Exigences

• Bachelor’s degree required; Master’s degree or MBA strongly preferred • 5+ years of product management experience • Proven track record of scaling AI products or platforms across an organization • Ambiguity Scale: Ability to translate business goals into identified problems to solve. • Strong understanding of AI technologies, including machine learning, natural language processing, and data analytics. • Proven ability to manage complex projects and deliver results on time and within budget. • Excellent analytical and problem-solving skills; able to make data-driven decisions. • Strong verbal and written communication skills; able to convey complex technical concepts to non-technical stakeholders. • Demonstrated leadership skills with the ability to inspire and motivate cross-functional teams.