AI Product Manager
3 weeks ago
Responsibilities:
- Define and drive the product strategy and roadmap for AI-driven products, working closely with cross-functional teams including engineering, data science, design, and business development.
- Conduct market research and gather insights to understand customer needs, industry trends, and competitive landscape related to AI technologies and applications.
- Collaborate with stakeholders to define and prioritize product features and requirements based on customer feedback, business goals, and technical feasibility.
- Work closely with data scientists and engineers to define and refine AI algorithms, models, and data requirements that align with the product vision and objectives.
- Lead the product development process, including defining user stories, creating product specifications, and managing the product backlog.
- Manage and prioritize product releases, ensuring timely delivery of high-quality AI-driven features and enhancements.
- Conduct user testing and gather feedback to iterate and improve the product's AI capabilities, user experience, and performance.
- Monitor and analyze key product metrics, user behavior, and market trends to make data-driven decisions and identify areas for optimization and innovation.
- Drive effective communication and collaboration across teams, ensuring alignment and understanding of product goals, timelines, and deliverables.
- Stay updated with advancements in AI technologies, industry standards, and regulatory requirements to ensure compliance and leverage emerging opportunities.
Requirements:
- Proven experience (typically 3+ years) as a product manager, preferably with a focus on AI-driven products or technologies.
- Strong understanding of AI concepts, including machine learning, natural language processing, computer vision, and data analytics.
- Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn).
- Proficiency in agile methodologies and product management best practices, including user story development, backlog management, and sprint planning.
- Solid analytical and problem-solving skills, with the ability to translate customer needs and market insights into actionable product requirements.
- Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders at all levels.
- Strong project management skills, including the ability to prioritize tasks, manage timelines, and deliver results in a fast-paced environment.
- Experience with data-driven decision making and familiarity with analytics tools to monitor and measure product performance.
- Bachelor's or Master's degree in a relevant field, such as computer science, engineering, business, or a related discipline.
- Passion for AI technologies and their potential to drive innovation and create value in various industries.
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