We are looking for an experienced Product Owner to lead the development of advanced Generative AI solutions. This role requires a deep understanding of AI product lifecycles, user needs, and business impact. You will work closely with data scientists, engineers, and stakeholders to define and prioritize AI-driven use cases that align with business goals.

QUALIFICATIONS AND EXPERIENCE:

• 5+ years in product management, with a focus on AI/ML or software products.
• Proven experience in shipping AI-powered products, preferably in NLP, image generation, or LLM applications.
• Strong understanding of Generative AI models (e.g., LLMs, diffusion models, transformers).
• Technical Background is expected, while coding is not required. Familiarity with AI/ML fundamentals, APIs, and cloud platforms (AWS, Azure, GCP) is highly preferred.
• Excellent communication skills to bridge technical and non-technical teams.
• Analytical mindset with experience in A/B testing, user research, and data-driven decision-making.
• Experience in UX research methodologies, including user interviews, usability testing, and behavioral analytics.
• Strong understanding of AI-specific UX challenges, such as explainability, trust, transparency, and bias mitigation.
• Ability to synthesize user feedback into actionable product improvements.

• Product Strategy & Roadmap: Define and drive the roadmap for Generative AI products, ensuring alignment with business objectives.
• Requirement Gathering & Prioritization: Translate high-level concepts into well-defined features and user stories.
• Cross-functional Collaboration: Partner with AI/ML engineers, product teams, and key business and technical stakeholders to design and deliver scalable AI solutions that align with strategic objectives and operational needs.
• Market & User Research: Stay up-to-date on the latest AI advancements and assess market trends to maintain a competitive edge.
• Evaluation & Optimization: Continuously evaluate AI product performance, user feedback, and key product metrics to refine solutions.
• Regulatory & Ethical Considerations: Ensure AI solutions align with ethical guidelines and compliance requirements.