Technical Product Manager

Caring. Connecting. Growing together.

Primary Responsibilities

• Define and drive product strategy and roadmap aligned with business and AI innovation goals
• Collaborate with engineering, design, data science, and business teams to deliver high-impact cloud and AI solutions
• Translate business requirements into technical specifications, user stories, and AI model requirements
• Oversee the end-to-end product lifecycle from ideation to launch and continuous improvement
• Ensure seamless integration, scalability, and performance of cloud and AI infrastructure
• Facilitate stakeholder alignment through regular updates, demos, and feedback loops
• Stay current with emerging AI technologies and assess their applicability to business needs
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
  

Required Qualifications

• 5+ years of experience in product management, preferably in technical, cloud, or AI-driven environments
• Experience with agile methodologies and product development tools (e.g., Jira, Confluence)
• Demonstrated experience working with AI/ML technologies, including model integration and deployment
• Solid understanding of cloud architecture (e.g., AWS, Azure, GCP) and cloud setup best practices
• Proven ability to manage multiple stakeholders and drive consensus across teams
• Proven excellent communication, analytical, and problem-solving skills
  

Preferred Qualifications

• Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure AI Engineer Associate)
• Experience working in global or distributed teams
• Familiarity with AI/ML frameworks and practices
• Technical background in software development or systems engineering