AI Product Manager

Nabeh, a subsidiary of Master Works, delivers AI-powered solutions that help organizations automate operations, boost efficiency, and drive innovation. Its expertise spans computer vision, LLM applications, speech-to-text, data intelligence, and low-code AI solutions.

Nabeh is looking for an AI Product Manager to lead the strategy, development, and growth of AI-powered products, translating business and customer needs into scalable solutions using Generative AI, LLMs, computer vision, and AI agents.

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.