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