AI Product Manager, Seez

• We value individuals who thrive on collaboration, take ownership, dare to be different, and drive efficient product development
• Minimum 5-7 years of experience as Product Manager with a data-driven product development and technical background, with previous experience building and setting the vision for platform products, ideally within the e-commerce space
• You are customer-obsessed and love building products that deliver the optimal experience to all key stakeholders
• You love breaking down complex problems into manageable goals and finding simple solutions to meet diverse needs
• Experience in crafting product requirements based on research, data, and insights
• Experience building large-scale product solutions with third-party system integrations would be highly regarded in this role
• Proficiency in SQL and data analysis tools
• Excellent analytical, problem-solving, and decision-making skills
• Exceptional communication, presentation, and interpersonal skills
• Ability to work effectively in a fast-paced, dynamic environment

Desirable

• We are seeking a passionate and driven AI Product Manager to lead the development and execution of our innovative AI-powered automotive products
• You will be at the forefront of shaping the future of the automotive industry, working closely with data scientists, engineers, and designers to create groundbreaking AI solutions
• Define and execute a visionary AI product roadmap aligned with company goals and market opportunities
• Identify and evaluate emerging AI technologies and trends in the automotive industry
• Translate customer needs and market insights into actionable AI product requirements
• Lead the end-to-end AI product lifecycle, from concept to launch and beyond
• Define and prioritize data requirements, ensuring data quality, consistency, and security
• Define and track key performance indicators (KPIs) to measure AI product performance and impact
• Foster a collaborative and inclusive environment, working effectively with cross-functional teams
• Communicate complex AI concepts clearly and concisely to diverse audiences
• Act as a bridge between technical and business stakeholders, ensuring alignment and understanding
• Conduct in-depth data analysis to identify trends, patterns, and insights that can inform product development and business decisions