AI Product Development Specialist (CCP for ICT Professionals)

KEY RESPONSIBILITIES

• Identify AI-enabled product opportunities relevant to IP-Tribe’s telecommunications, managed services, digital infrastructure, and software-related solution offerings.
• Conduct customer needs analysis, market research, competitor review, and use-case assessment to determine viable AI product concepts.
• Translate customer pain points, business requirements, and technical AI capabilities into product requirements, feature specifications, user stories, acceptance criteria, and development priorities.
• Use the advanced backlog and workflow functions of Jira to organise AI product requirements, prototype activities, feature priorities, development tasks, testing actions, and delivery timelines.
• Expand the use of Jira beyond ticket management by establishing structured AI product development workflows from ideation and prototyping through validation and product readiness.
• Use GitHub for version control, prototype repositories, technical documentation, issue tracking, release records, peer collaboration, and controlled management of product development artefacts.
• Use approved AI prototyping tools to build and test proof-of-concept solutions, validate AI use cases, evaluate technical feasibility, and document prototype results.
• Plan and coordinate proof-of-concept activities, prototype testing, customer validation, user acceptance reviews, and product readiness assessments.
• Evaluate prototype performance, product functionality, customer feedback, technical constraints, data requirements, and business value to recommend product enhancements.
• Prepare product requirement documents, feature briefs, user stories, prototype summaries, test findings, and internal product development updates.
• Work with cross-functional technical, product, customer-facing, and business teams to ensure AI-enabled products are aligned with customer needs, company capabilities, and commercial objectives.
• Support product positioning and go-to-market preparation by developing AI solution use cases, product value propositions, technical product inputs, and customer-facing briefing materials.
• Monitor emerging AI technologies, enterprise automation trends, AI governance considerations, and telecommunications-related use cases to identify future product opportunities.

QUALIFICATIONS & SKILLS

• Strong analytical, critical-thinking, and problem-solving skills.
• Ability to understand customer and business needs and translate them into clear product requirements.
• Good research, communication, and documentation skills.
• Strong organisation, planning, and attention to detail.
• Ability to collaborate effectively with technical, customer-facing, and business teams.
• Willingness to continuously learn and keep up with relevant product and technology developments.