Product Manager - Applied AI

Key Responsibilities: Product Strategy & Roadmap: - Own the end-to-end vision, strategy, and roadmap for enterprise-scale AI products, ensuring alignment with overarching business goals across multiple business areas. AI Product Development: - Drive the discovery, design, and deployment of intelligent, AI-based features and products that solve complex enterprise challenges at scale. AI-Augmented PM Workflows: - Utilize advanced GenAI tools daily to streamline product management operations, including market research, idea shaping, customer feedback synthesis, roadmapping, requirement writing, rapid prototyping, and validation testing. Cross-Functional Leadership: - Partner closely with engineering, data science, design, and go-to-market teams to deliver robust, scalable, and user-centric AI solutions. Lean Execution: - Apply lean product management principles - such as rapid experimentation, iterative delivery, and data-driven learning - to de-risk and accelerate product releases. Stakeholder Management: - Collaborate with cross-departmental stakeholders across multiple enterprise business areas to ensure seamless integration, adoption, and value realization. Required Qualifications: Education: - Bachelor's degree in Business, Marketing, Engineering, Computer Science, or a related field. Product Experience: - 10+ years of proven experience in lean product management, product ownership, or closely related leadership roles. Enterprise Scale: - 3+ years of experience delivering and scaling products across multiple business areas in complex enterprise environments. AI Domain Expertise: - 1+ years of hands-on experience building and launching AI-based or intelligent software products (LLM integrations, predictive analytics, NLP, or computer vision solutions). GenAI-Driven Productivity: - 1+ years of demonstrated experience using Generative AI tools to execute core product management tasks, including: 1. Conducting market and idea research 2. Feature shaping and user feedback synthesis 3. Developing dynamic roadmaps and precise product requirements (PRDs) 4. Building rapid prototypes and setting up user testing frameworks