AI Product Manager

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PMI

WebsiteLinkedInAll Job Openings

1 - 1 employees

📚 Education

🤝 Non-profit

Education • Non-profit

PMI is the Project Management Institute, a global nonprofit professional association that sets standards, provides education and credentials, and supports the practice of project and program management. PMI offers widely recognized certifications (PMP, CAPM, PMI-ACP, PMI-CPMAI, and others), publishes standards and guides such as the PMBOK Guide, runs training, events, research and thought leadership, and provides digital tools and enterprise solutions (e. g. , PMI Infinity) and membership services to a community of project professionals (noted as more than 800,000 members).

📋 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.

🎯 Requirements

• 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.