AI Product Manager

Role & responsibilities Define and execute the AI product vision, strategy, roadmap, and priorities aligned with business objectives and customer needs. Identify and evaluate opportunities to apply AI, machine learning, Generative AI, and automation to solve customer and business problems. Lead AI product discovery, including customer research, problem validation, market analysis, and opportunity assessment. Translate business requirements and customer problems into clear product requirements, user stories, use cases, and AI/ML solution objectives. Collaborate closely with Data Science, ML Engineering, Software Engineering, Design, UX, Data Engineering, and Business teams to deliver AI-powered products. Define requirements for AI/ML models, datasets, model performance, evaluation criteria, accuracy, latency, scalability, and reliability. Work with technical teams on LLMs, Generative AI, NLP, recommendation systems, predictive models, computer vision, or other AI technologies as applicable. Establish AI product KPIs and success metrics and use product analytics and experimentation to continuously improve product performance. Lead A/B testing, experimentation, model evaluation, user feedback analysis, and iterative product improvements. Develop responsible AI practices covering fairness, transparency, explainability, privacy, security, safety, and regulatory compliance. Evaluate AI platforms, models, APIs, vendors, and emerging technologies and recommend appropriate solutions based on business value and technical feasibility. Drive AI product launches, go-to-market strategies, adoption, commercialization, and ongoing product lifecycle management. Develop pricing, packaging, monetization, and product-led growth strategies for AI-powered products where applicable. Communicate product strategy, roadmap, performance, risks, and investment priorities to senior leadership and key stakeholders. Preferred candidate profile 5 to 10 years of experience in Product Management, AI Product Management, Technology Product Management, Data Products, or a related role. Proven experience taking technology or AI-powered products from concept and discovery through development, launch, and continuous improvement. Strong understanding of AI/ML concepts, including machine learning, Generative AI, LLMs, NLP, model evaluation, and AI application development. Experience working with Data Science, ML Engineering, Software Engineering, Data Engineering, Design, and other cross-functional teams. Strong understanding of AI product development lifecycle, experimentation, model performance, data requirements, and production deployment. Hands-on familiarity with LLMs, prompt engineering, RAG, AI/ML APIs, model evaluation, and AI-powered application architectures is highly desirable. Strong product-management skills covering product discovery, roadmap planning, prioritization, user research, product analytics, and go-to-market strategy. Data-driven mindset with experience using analytics, KPIs, experimentation, and customer insights to make product decisions. Strong understanding of responsible AI, data privacy, security, governance, and ethical considerations in AI product development. Ability to translate complex AI/technical concepts into clear business requirements and communicate effectively with technical and non-technical stakeholders. Strong strategic thinking, problem-solving, communication, presentation, and stakeholder-management skills. Experience with cloud platforms such as AWS, Azure, or Google Cloud and AI/ML platforms is an advantage. Experience in SaaS, enterprise software, fintech, healthcare, e-commerce, or other technology-driven industries is an advantage. Bachelors degree in Computer Science, AI/ML, Data Science, Engineering, Mathematics, Statistics, Business, or a related field; Master’s degree in AI/ML, Computer Science, Data Science, or an MBA in Product/Technology Management is preferred. #J-18808-Ljbffr