Job Title: AI Products Manager

Location: Riyadh, Saudi Arabia

Key Responsibilities

Product strategy and roadmap

- Define product requirements for LLM-based capabilities (conversational sales assistants, agentic workflows, semantic search, recommendation and personalization engines), including bilingual Arabic/English experiences for GCC audiences.
- Evaluate build-vs-buy decisions across the AI stack (foundation models, orchestration frameworks, vector search, CRM/CDP and engagement tooling) with clear cost, latency and quality trade-offs.

Delivery and execution

- Run discovery, scoping and delivery with cross-functional squads; write crisp PRDs, define acceptance criteria, and manage releases through experimentation frameworks.
- Design evaluation harnesses for AI capabilities: define quality metrics (accuracy, groundedness, latency, containment/deflection rates), golden datasets and human review loops.

Commercial and marketplace outcomes

- Tie every AI initiative to a measurable commercial outcome: lead quality, cost per qualified lead, sales conversion, broker and sales-team productivity, or customer lifetime value across the international portfolio.
- Define and monitor KPIs; run A/B tests and holdouts; retire initiatives that do not perform.

Governance, safety and compliance

- Ensure AI products comply with applicable regulatory frameworks across operating markets — Saudi PDPL (data residency and consent) and UK/EU GDPR in particular — alongside internal data-classification and governance policies.
- Establish guardrails for AI outputs: hallucination controls,



escalation-to-human flows, brand-safe content moderation and audit logging.
- Champion responsible AI practices, including transparency to end users about automated decisioning.

Stakeholder leadership

- Act as the primary translator between executive stakeholders, engineering, data science and market-facing teams on AI capability, feasibility and risk.
- Communicate roadmap, progress and results to senior leadership with clarity and commercial framing.

Requirements

Essential

- 5+ years of product management experience, including 2+ years shipping ML/AI-powered products in production at scale.
- Demonstrable experience with LLM product patterns: RAG, agentic workflows, tool use, evaluation frameworks and prompt lifecycle management.
- Robust analytical grounding: experimentation design, funnel analysis, cohort metrics, SQL proficiency.
- Experience in real estate, PropTech, luxury consumer, e-commerce or high-consideration sales environments.
- Fluency in English; strong written communication for PRDs, strategy documents and executive materials.

Preferred

- Familiarity with the Saudi regulatory environment (PDPL) and UK/EU GDPR, plus regional model considerations (e.g. Arabic foundation models).
- Hands-on exposure to orchestration frameworks (LangGraph, CrewAI or similar), vector databases and modern CRM, CDP and engagement stacks.
- Experience with luxury or UHNWI customer segments and international, multi-market products.
- Technical background (CS, engineering or data science degree) or prior engineering/data experience.

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