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Product Manager

VectorStack

All India • 1 month ago

Experience: 23 to >25 Yrs

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Job Description

As a Product Manager with strong exposure to Artificial Intelligence and Machine Learning products, your role will involve bridging business goals, data science teams, and engineering to build scalable AI-driven solutions. Your responsibilities will include defining product vision and roadmap for AI/ML initiatives, identifying use cases with measurable business impact, writing detailed Product Requirement Documents (PRDs), prioritizing features based on business value, collaborating with stakeholders, monitoring model performance post-launch, ensuring ethical AI practices, and conducting market research and competitive analysis. Key Responsibilities: - Define product vision and roadmap for AI/ML initiatives - Work closely with data scientists, ML engineers, and developers to translate business problems into AI-driven solutions - Identify use cases where AI/ML can create measurable business impact - Write detailed Product Requirement Documents (PRDs) and user stories - Prioritize features based on business value, feasibility, and market demand - Collaborate with stakeholders including sales, marketing, and leadership - Monitor model performance, KPIs, and product metrics post-launch - Ensure ethical AI practices, data privacy compliance, and model governance - Conduct market research and competitive analysis Required Skills & Qualifications: - 48 years of product management experience, with at least 23 years in AI/ML products - Strong understanding of Machine Learning concepts (supervised, unsupervised learning, NLP, deep learning basics) - Experience working with data science and engineering teams - Familiarity with tools such as Python, SQL, APIs, and cloud platforms (AWS, Azure, or GCP) - Ability to interpret model outputs and performance metrics - Strong analytical and problem-solving skills - Excellent communication and stakeholder management skills Preferred Qualifications: - Experience in launching AI-based SaaS products - Knowledge of MLOps and model lifecycle management - Exposure to Generative AI and LLM-based applications - MBA or relevant technical background Key Competencies: - Strategic thinking - Data-driven decision making - Cross-functional collaboration - Customer-centric mindset - Strong ownership and accountability As a Product Manager with strong exposure to Artificial Intelligence and Machine Learning products, your role will involve bridging business goals, data science teams, and engineering to build scalable AI-driven solutions. Your responsibilities will include defining product vision and roadmap for AI/ML initiatives, identifying use cases with measurable business impact, writing detailed Product Requirement Documents (PRDs), prioritizing features based on business value, collaborating with stakeholders, monitoring model performance post-launch, ensuring ethical AI practices, and conducting market research and competitive analysis. Key Responsibilities: - Define product vision and roadmap for AI/ML initiatives - Work closely with data scientists, ML engineers, and developers to translate business problems into AI-driven solutions - Identify use cases where AI/ML can create measurable business impact - Write detailed Product Requirement Documents (PRDs) and user stories - Prioritize features based on business value, feasibility, and market demand - Collaborate with stakeholders including sales, marketing, and leadership - Monitor model performance, KPIs, and product metrics post-launch - Ensure ethical AI practices, data privacy compliance, and model governance - Conduct market research and competitive analysis Required Skills & Qualifications: - 48 years of product management experience, with at least 23 years in AI/ML products - Strong understanding of Machine Learning concepts (supervised, unsupervised learning, NLP, deep learning basics) - Experience working with data science and engineering teams - Familiarity with tools such as Python, SQL, APIs, and cloud platforms (AWS, Azure, or GCP) - Ability to interpret model outputs and performance metrics - Strong analytical and problem-solving skills - Excellent communication and stakeholder management skills Preferred Qualifications: - Experience in launching AI-based SaaS products - Knowledge of MLOps and model lifecycle management - Exposure to Generative AI and LLM-based applications - MBA or relevant technical background Key Competencies: - Strategic thinking - Data-driven decision making - Cross-functional collaboration - Customer-centric mindset - Strong ownership and accountability

Posted on: March 7, 2026

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