AI Product Development Lead

7 days ago

Chennai, Tamil Nadu, India beBeeProduct Full time ₹ 60,00,000 - ₹ 1,00,00,000

About the Position:

As an AI Product Manager, you will own the end-to-end lifecycle of AI/ML products focused on wholesale lending, from ideation and strategy through development, launch, and iteration.

You will work closely with data scientists, engineers, designers, credit, risk, and business stakeholders to ensure that our AI initiatives are aligned with user needs and business goals.

Key Responsibilities:

  • Define and execute the AI product roadmap in collaboration with leadership and cross-functional teams.
  • Translate business problems into clear AI/ML product requirements.
  • Collaborate with data scientists and engineers to define success metrics, datasets, and model evaluation frameworks.
  • Prioritize product features and improvements based on user research, data analysis, and business value.
  • Ensure model performance, explainability, fairness, and compliance with ethical standards.
  • Drive experimentation, A/B testing, and iteration cycles for continuous product improvement.
  • Serve as the liaison between engineering, data science, design, and stakeholders to ensure timely and high-quality delivery.
  • Stay abreast of emerging AI trends, technologies, and best practices.

Requirements:

  • Up to 3 years of product management experience, preferably with AI/ML-based products.
  • Basic understanding of machine learning concepts, model lifecycle, and data infrastructure.
  • Proven experience translating complex technical requirements into scalable product solutions.
  • Familiarity with MLOps, model evaluation metrics, and deployment pipelines.
  • Exceptional communication and stakeholder management skills.
  • Experience with agile product development and tools (e.g., Jira, Confluence, Figma, GitHub).

Nice-to-Have:

  • Hands-on experience with data analysis tools (e.g., SQL, Python, Jupyter).
  • Experience with LLMs, generative AI, or AI applications in NLP, computer vision, or recommendation systems.
  • Background in computer science, engineering, data science, or a related field.
  • Prior startup or high-growth environment experience.

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