Our Core Business Values
Arab Solutions believes that technology is at the forefront of empowering people and organisations throughout the world. Our core business values are, therefore, to discover opportunities for creating a transformation to use our knowledge and expertise in supporting positive change and to enable people in producing powerful new developments.

We deliver on time and in budget
 Using a consultative approach, our experts identify which areas of our clients business can benefit from our services. This transforms IT from overhead cost, albeit one that provides commodity services, into a strategic value-add for our clients business. Arab Solutions is committed to meeting our client’s needs as well as working within their budgetary parameters.

Arab Solutions

Job Title: Cognitive AI Product Manager
Job Description:&nbsp;
The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
Duties and Responsibilities &nbsp;
<ul>
<li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.&nbsp;</li>
<li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.&nbsp;</li>
<li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li>
<li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).&nbsp;</li>
<li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.&nbsp;</li>
<li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).&nbsp;</li>
<li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.&nbsp;</li>
<li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.&nbsp;</li>
<li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.&nbsp;</li>
<li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li>
</ul>
Skills &amp; Abilities
<ul>
<li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).&nbsp;</li>
<li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.&nbsp;</li>
<li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.&nbsp;</li>
<li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.&nbsp;</li>
<li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li>
<li>Clear communication and narrative-building for executive and technical audiences.</li>
</ul>
Potential Background
<ul>
<li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li>
<li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li>
<li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li>
<li>Experience working with security, privacy, and data governance requirements in regulated environments.</li>
<li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li>
<li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.</li>
</ul>