PRODUCT MANAGER – AI
Summary
Own AI-driven products end to end — defining strategy and roadmaps, managing the full lifecycle from concept to launch, and tracking performance metrics — while bridging engineering/data science teams and business stakeholders. Requires 8–12 years of product management experience with a strong AI/ML focus.
Product Manager – AI
Summary
Responsibilities
- Define and execute comprehensive product strategies and roadmaps tailored to the evolving AI and machine learning sector.
- Manage the full product lifecycle, ensuring timely delivery of high-quality AI features and services.
- Conduct thorough analysis of business requirements to identify opportunities for innovation and efficiency.
- Lead feature prioritization efforts and maintain a dynamic backlog that reflects shifting market needs and strategic objectives.
- Monitor and analyze product performance metrics to drive data-informed decision-making and continuous improvement.
- Facilitate seamless cross-functional collaboration among engineering, design, data science, and business units to achieve shared goals.
- Translate complex technical concepts into clear business value propositions for stakeholders and leadership.
Requirements
- Minimum of 8 to 12 years of professional experience in product management, with a strong focus on AI/ML technologies.
- Proven expertise in managing the product lifecycle for complex software solutions.
- Demonstrated ability to track product performance and utilize metrics to guide strategy.
- Strong proficiency in feature prioritization frameworks and effective backlog management.
- Exceptional skills in cross-functional collaboration and stakeholder management.
- Deep knowledge of AI/ML product management principles and best practices.
- Experience in formulating product strategies and creating detailed roadmaps.
- Solid capability in analyzing business requirements and translating them into actionable product specifications.