About the project: As an AI Product Manager, you will lead the ideation, development, and execution of cutting-edge AI solutions that transform business operations and enhance user experiences. This role requires a deep understanding of AI technologies, market trends, and customer needs to build scalable, impactful products. You will collaborate with cross-functional teams, including data scientists, engineers, and designers, to define product roadmaps, prioritize features, and ensure timely delivery of high-quality solutions. Strong analytical skills, strategic thinking, and a passion for innovation are essential to excel in this role. Duration: Contract-based Stage: Workshop and Proof of Concept, End-to-end AI Solution Development Objectives: - Lead the development and implementation of AI Workshops and Proof of Concepts to effectively define key use cases. - Drive adoption and revenue growth for the offering. - Continuously improve the workshop content and PoC methodologies based on client feedback and industry trends. - Determine undermined user needs, develop solutions to meet these needs, and supervise the implementation. - Own, build, maintain, prioritize, and effectively communicate the Product Backlog based on user and business needs. - Create and manage the product roadmap, timelines, and stakeholders expectations. - Lead end-to-end product development, from ideation to deployment and scaling. - Optimize user engagement by implementing feedback-driven improvements to AI systems. - Deliver production-ready AI solutions that integrate seamlessly into existing systems. - Build a strong understanding of AI capabilities to guide product innovation and differentiation. - Drive product adoption and performance through user testing, iteration, and continuous learning. KPI: - Successful implementation of AI Workshops and PoCs within agreed-upon timeframes. - Percentage of PoC clients converting to longer-term engagements. - Estimated ROI achieved by clients implementing AI solutions post-engagement. - Percentage of met predefined success criteria for the project. - Highest client and team satisfaction rate. Areas of Responsibility: - Design and refine the curriculum, materials, and activities for the AI workshop, product discovery and development. - Conduct market research to stay updated on industry trends and client needs. - Identify and refine use cases for AI implementation for different industries. - Calculate potential ROI on AI implementation. - Define product specifications, technical hypotheses, and success criteria. - Handle planning, execution, and evaluation of AI projects to ensure they meet client objectives. - Collaborate with cross-functional teams, including engineering, design, and sales, to ensure successful execution of this service. - Set and monitor key performance indicators (KPIs). - Define and maintain AI Solution roadmap, prepare proposals for further product development. - Continuously seek feedback and identify areas for improvement, suggest implementation plans. Skills: - Advanced English - Strong product management and strategic thinking skills - Excellent communication and stakeholder management abilities - Deep understanding of generative AI technologies - Product documentation development (PRD, Use case, backlog details, etc.) - User Interview, requirement identification, and elicitation - Excellent presentation - Prioritization Knowledge: - Comprehensive understanding of product development lifecycle from identification of business opportunities and building product requirements to production release. - Understanding of market trends and customer needs in the AI space. - Knowledge of user experience principals. Experience: - 3 years of experience as a Product Manager/Product Owner - At least over a year in a startup as Product Manager/Product Owner - Strong track record of successfully launching and managing products from ideation to launch and beyond - Workshop facilitation experience - GenAI project experience - Success metrics monitoring and ROI definition - Experience working with clients, gathering requirements, and managing client relationships.