Job Summary This role is responsible for managing technical programs, collaborating with stakeholders, and ensuring timely delivery of AI/ML solutions. The ideal candidate will have 5+ years of experience in product management, excellent communication skills, and proficiency in agile methodologies. Key Responsibilities - Collaborate with stakeholders to define, document, and prioritize requirements for dynamic pricing and ML-driven projects; - Develop and maintain an ML product roadmap aligned with business goals, ensuring clear prioritization and communication with all stakeholders; - Work closely with engineering and data science teams to plan and execute sprint cycles, ensuring timely and high-quality delivery of ML solutions; - Act as the primary liaison between technical teams and business stakeholders, providing updates, gathering feedback, and ensuring alignment on priorities; - Identify and address risks related to project deliverables, timelines, and resources, ensuring smooth execution across teams; - Develop clear and concise reporting mechanisms to communicate project progress, KPIs, and outcomes to stakeholders and leadership; - Partner with engineers, data scientists, and program managers to align efforts, troubleshoot challenges, and optimize processes; - Oversee the end-to-end delivery of AI/ML solutions, ensuring alignment across multiple teams and facilitating seamless collaboration. Requirements - 5+ years of experience in product management in technology, data science, or ML domains; - Proven experience in planning and prioritizing sprint cycles, managing cross-functional teams, and mitigating risks for timely delivery; - Understanding of the DS lifecycle, data pipelines, model development, and deployment; - Excellent written & verbal communication skills, with the ability to simplify complex technical concepts for diverse audiences; - Proficiency with agile methodologies and tools (e.g., Jira, Confluence, Trello) for sprint planning and tracking and familiarity with visualization tools (e.g., Tableau, Power BI) for progress tracking and KPI reporting; - Upper-Intermediate English level. Preferred Qualifications - Understanding of cloud platforms (e.g., AWS, Azure, GCP) and ML workflows (e.g., MLflow, Databricks) is a plus.