Product Owner

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking a seasoned Product Owner who combines technical expertise with strategic insights into the complexities of airline pricing. This role is perfect for someone with a proven track record in agile product management and extensive experience in leading data technology and software development teams.

As a key team member, you will be deeply involved in every stage of creating our data-driven price prediction engine, from initial research and concept design to development, testing, and deployment. You'll utilize your expertise in technologies and methodologies such as agile development practices, Scrum, Kanban, as well as tools like Jira, Confluence, and Miro, in the development of AI, machine learning, and data-intensive applications.

This role offers the opportunity to be at the forefront of applying AI and machine learning technologies to solve one of the airline industry's most significant challenges. If you're ready to leverage your extensive experience in product management, agile methodologies, and technology leadership to make a substantial impact, we'd love to have you join our team.

Responsibilities:

• Spearhead the vision and development of our AI-driven price prediction engine, ensuring alignment with the airline industry's needs.
• Utilize your experience in launching SaaS products to drive product strategy and innovation, focusing on user-centric and market-driven solutions.
• Apply Scrum and Kanban methodologies to optimize product development processes, promoting efficient project management and product evolution through agile expertise.
• Collaborate with cross-functional teams, leveraging technical and user experience design expertise to create accessible and effective solutions.
• Drive continuous improvement within the team, enhancing productivity and product quality through your agile expertise.
• Work closely with data scientists and analysts to incorporate data insights into product development, highlighting interdisciplinary collaboration.