AI Product Manager

About the role

MCI is seeking a strategic and customer-focused AI Product Manager to lead the development and delivery of AI-powered products and solutions. This role requires a deep understanding of AI technologies, product management, and customer engagement.

Responsibilities

• Define product vision and strategic direction for AI initiatives.
• Develop and maintain AI product roadmaps.
• Identify opportunities for AI-driven innovation.
• Align product objectives with business goals.
• Define product success metrics and KPIs.
• Manage the end-to-end lifecycle of AI products.
• Gather and prioritize product requirements.
• Collaborate with engineering and AI teams.
• Drive product development and release planning.
• Ensure successful implementation and adoption.
• Build strong relationships across the organization.
• Facilitate collaboration between technical and business teams.
• Gather customer feedback and business requirements.
• Present recommendations to leadership stakeholders.
• Manage competing priorities and expectations.
• Monitor product effectiveness and identify opportunities for enhancement.
• Analyze product performance and user adoption.
• Track business outcomes and ROI.
• Recommend enhancements and new capabilities.
• Support continuous improvement initiatives.
• Ensure AI products remain competitive, compliant, and responsible.
• Evaluate emerging AI technologies and market trends.
• Support governance and compliance initiatives.
• Promote responsible AI practices.
• Contribute to AI product strategy discussions.

Requirements

• Bachelor's Degree in Business, Technology, Engineering, Computer Science, or a related field.
• Minimum 4 years of product management experience.
• Experience managing technology, software, or digital products.
• Strong understanding of Agile product development methodologies.
• Experience developing product roadmaps and business cases.
• Ability to translate technical concepts into business value.
• Strong stakeholder management and communication skills.
• Analytical mindset with strong problem-solving abilities.
• Experience working with engineering and technical teams.
• Strong organizational and project management skills.
• Experience defining and measuring product success metrics.
• Ability to manage multiple priorities in a fast-paced environment.

Qualifications

• Nice to Have: Experience with AI, machine learning, or automation products.
• Nice to Have: Product certifications such as CSPO or PSPO.
• Nice to Have: Experience working within SaaS environments.
• Nice to Have: Knowledge of AI governance and responsible AI frameworks.
• Nice to Have: Familiarity with analytics and reporting tools.
• Nice to Have: MBA or postgraduate business qualification.
• Nice to Have: Experience managing enterprise technology products.
• Nice to Have: Exposure to Generative AI initiatives.