Product Manager

Key Responsibilities :

- 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, explain ability, 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.

User Experience (UX) :

Performance & Metrics :

- Define key performance indicators (KPIs) for product success and regularly report on product performance to stakeholders.

Requirement :

Must-Have :

- 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, Jira, Confluence, Figma, GitHub).

Nice-to-Have :

- 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