AI Product Manager

3 weeks ago

London, United Kingdom Tech Kinect Full time

Responsibilities:

  1. 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.
  2. Conduct market research and gather insights to understand customer needs, industry trends, and competitive landscape related to AI technologies and applications.
  3. Collaborate with stakeholders to define and prioritize product features and requirements based on customer feedback, business goals, and technical feasibility.
  4. 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.
  5. Lead the product development process, including defining user stories, creating product specifications, and managing the product backlog.
  6. Manage and prioritize product releases, ensuring timely delivery of high-quality AI-driven features and enhancements.
  7. Conduct user testing and gather feedback to iterate and improve the product's AI capabilities, user experience, and performance.
  8. Monitor and analyze key product metrics, user behavior, and market trends to make data-driven decisions and identify areas for optimization and innovation.
  9. Drive effective communication and collaboration across teams, ensuring alignment and understanding of product goals, timelines, and deliverables.
  10. Stay updated with advancements in AI technologies, industry standards, and regulatory requirements to ensure compliance and leverage emerging opportunities.

Requirements:

  1. Proven experience (typically 3+ years) as a product manager, preferably with a focus on AI-driven products or technologies.
  2. Strong understanding of AI concepts, including machine learning, natural language processing, computer vision, and data analytics.
  3. Familiarity with AI frameworks, tools, and platforms commonly used in product development (e.g., TensorFlow, PyTorch, scikit-learn).
  4. Proficiency in agile methodologies and product management best practices, including user story development, backlog management, and sprint planning.
  5. Solid analytical and problem-solving skills, with the ability to translate customer needs and market insights into actionable product requirements.
  6. Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and stakeholders at all levels.
  7. Strong project management skills, including the ability to prioritize tasks, manage timelines, and deliver results in a fast-paced environment.
  8. Experience with data-driven decision making and familiarity with analytics tools to monitor and measure product performance.
  9. Bachelor's or Master's degree in a relevant field, such as computer science, engineering, business, or a related discipline.
  10. Passion for AI technologies and their potential to drive innovation and create value in various industries.

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