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AI Product Manager

Unlock employer Riyadh, Saudi Arabia Direct to Company 1 hour ago · 15 Nov 2026

Financial

  • Estimate: $30k - $70k/yr*
  • Zero income tax location

Accessibility

  • Office Only
  • Visa Provided

Requirements

  • Experience: Intermediate
  • English: Professional
  • Arabic: Preferred

Position

About the Role
The company is seeking an AI Product Manager to lead the strategy, development, and growth of AI-powered products that automate operations and drive innovation. This role involves translating business and customer needs into scalable solutions utilizing Generative AI, LLMs, computer vision, and AI agents.

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Key Responsibilities

Product Strategy & Ownership

  • Own the product lifecycle from discovery and ideation through MVP, launch, adoption, and continuous improvement.
  • Define product vision, roadmaps, positioning, and measurable business objectives.
  • Translate customer needs and market opportunities into product requirements and prioritized backlogs.
  • Develop product strategies for B2B and enterprise AI solutions.
  • Identify opportunities to transform customer-specific AI use cases into reusable product capabilities.

AI Product Development

  • Collaborate with engineering teams to define features powered by LLMs, VLMs, RAG, computer vision, and autonomous AI agents.
  • Evaluate AI capabilities based on feasibility, model accuracy, latency, operating cost, and business impact.
  • Define acceptance criteria, evaluation metrics, and quality standards for AI-driven features.
  • Understand the trade-offs between hosted AI models, local deployment, and hybrid architectures.
  • Prioritize AI product improvements using customer feedback, usage analytics, and competitive research.

Product Execution

  • Prepare PRDs, user stories, wireframes, acceptance criteria, and release plans.
  • Work with UI/UX designers to deliver intuitive experiences for technically complex AI products.
  • Coordinate product releases, demonstrations, UAT, and go-to-market readiness.
  • Define KPIs for adoption, retention, feature usage, model quality, and commercial performance.
  • Maintain product documentation, release notes, and feature specifications.

Commercial & Customer Collaboration

  • Work with business development and presales teams to support product demonstrations and technical positioning.
  • Analyze competing AI products, market trends, and customer requirements.
  • Support product pricing, packaging, licensing, and commercialization strategies.
  • Ensure products address enterprise security, privacy, and Saudi regulatory expectations.

Required Qualifications

  • 4+ years of product management experience, including AI-enabled or enterprise software products.
  • Strong knowledge of Agile product development, backlog management, and product discovery.
  • Practical understanding of Generative AI, LLMs, RAG, AI agents, APIs, and AI integration patterns.
  • Ability to communicate effectively with AI engineers and evaluate technical trade-offs.
  • Experience creating PRDs, product roadmaps, and measurable success criteria.
  • Strong analytical, stakeholder management, and problem-solving skills.
  • Experience managing B2B SaaS or enterprise technology products.
  • Strong English communication skills.

Preferred Qualifications

  • Experience with AI infrastructure, model inference platforms, MLOps, or LLMOps.
  • Familiarity with computer vision, video analytics, or speech technologies.
  • Experience with AI platforms such as OpenAI, Anthropic, Google Vertex AI, or open-source models.
  • Knowledge of Saudi enterprise and government technology requirements.
  • Experience with product pricing, API-based monetization, or usage-based business models.
  • Arabic language proficiency.

Success Metrics

  • Product roadmap delivery and release predictability.
  • Product adoption and customer satisfaction.
  • Feature usage and measurable customer value.
  • Reduction in time from concept to production.
  • Product revenue contribution and commercial readiness.
  • Quality and completeness of product requirements and documentation.
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