AI Product Lead

7 days ago

Dindigul, Tamil Nadu, India beBeeProduct Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Join a team of innovators driving AI solutions forward.

Product Manager for cutting-edge AI applications required. Collaborate with cross-functional teams to define and execute product roadmap, conduct market research, and analyze trends to identify customer needs and opportunities for new AI solutions.

Main Responsibilities:

  • Work closely with engineering, data science, and business stakeholders to define and execute the product roadmap.
  • Conduct market research and analyze trends to identify customer needs and opportunities for new AI solutions.
  • Define product requirements, user stories, and use cases based on customer feedback and business goals.
  • Prioritize features and ensure timely delivery of product milestones in collaboration with engineering teams.
  • Translate complex technical capabilities into user-friendly features and business value propositions.
  • Monitor product performance and gather data-driven insights to optimize adoption and engagement.
  • Develop go-to-market strategies, including pricing, positioning, and customer training for AI applications.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field.
  • 2–4 years of experience managing technology products, with exposure to AI/ML applications highly desirable.
  • Basic understanding of AI/ML concepts such as NLP, computer vision, and large language models (LLMs). Familiarity with frameworks like TensorFlow or PyTorch a plus.
  • Strong ability to gather customer insights and translate them into actionable product features.
  • Analytical mindset with the ability to prioritize and make data-driven decisions.
  • Experience working closely with engineering, design, and business teams in a fast-paced environment.
  • Excellent written and verbal communication skills to effectively convey product ideas and updates.

Preferred Skills:

  • Prior experience in launching or managing AI/ML products.
  • Exposure to cloud-based AI solutions and MLOps workflows.
  • Understanding of user experience (UX) principles for AI-driven products.
  • Experience engaging with enterprise customers or managing B2B products.

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