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The Luxury Closet

The Luxury Closet

Posted on May 1, 2025
Job Summary

We are seeking an experienced AI Product Manager to lead the development and management of AI-powered products and solutions. You will collaborate with cross-functional teams, including data scientists, engineers, and designers, to deliver innovative products that solve business problems and create value for customers. The ideal candidate has a strong understanding of AI technologies, product management experience, and excellent communication skills to bridge the gap between technical teams and business stakeholders.

Key Responsibilities

  • Product Strategy and Vision:
    • Define the product vision, strategy, and roadmap for AI-driven products.
    • Identify business opportunities where AI can deliver significant value.
    • Stay updated with AI industry trends and technologies to inform product development.
  • Training and Education:
    • Develop and deliver training sessions for internal teams to improve their understanding of AI concepts, applications, and tools.
    • Act as a subject matter expert (SME) to guide non-technical teams in leveraging AI in their functions (e.g., marketing, operations, customer service).
    • Create educational materials, such as documentation, workshops, and tutorials, to promote AI literacy across the organization.
  • Stakeholder Collaboration:
    • Work closely with business leaders to understand needs and translate them into AI product requirements.
    • Collaborate with data science, engineering, and design teams to deliver AI solutions.
    • Communicate product strategy and progress to stakeholders and executives.
  • AI Model Integration:
    • Work with data scientists and engineers to define the requirements for AI models and ensure they meet product objectives.
    • Oversee the integration of machine learning models into the product pipeline.
    • Monitor the performance of AI systems and work with technical teams to refine them as needed.
  • Execution and Delivery:
    • Manage the product lifecycle, from ideation to launch and beyond.
    • Create and maintain detailed product roadmaps and timelines.
    • Coordinate with engineering teams to ensure timely and high-quality delivery of AI features.
  • Performance Measurement:
    • Define success metrics for AI products and track their performance post-launch.
    • Leverage data-driven insights to iterate on product features and improve user experience.
    • Ensure compliance with ethical AI practices and data privacy regulations.