Product Manager

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, 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 Experience (UX) :
• Champion a user-centric design approach, working with UX / UI designers to create intuitive, efficient, and delightful user experiences for complex financial & Metrics :
• Define key performance indicators (KPIs) for product success and regularly report on product performance to :
• 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, Jira, Confluence, Figma, :
• Hands-on experience with data analysis tools (e, 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

(ref : hirist.tech)