AI Transformation Manager, Strategy & Operations

Company Profile:

Property Finder is the leading property portal in the Middle East and North Africa (MENA) region, dedicated to shaping an inclusive future for real estate while spearheading the region’s growing tech ecosystem. At its core is a clear and powerful purpose: To change living for good in the region.

Founded on the value of great ambitions, Property Finder connects millions of property seekers with thousands of real estate professionals every day. The platform offers a seamless and enriching experience, empowering both buyers and renters to make informed decisions. Since its inception in 2007, Property Finder has evolved into a trusted partner for developers, brokers, and home seekers. As a lighthouse tech company, it continues to create an environment where people can thrive and contribute meaningfully to the transformation of real estate in MENA.

Role Summary:

AI is one of Properyt Finder's top bets, but realizing its value requires cross-functional orchestration across product, engineering, commercial and marketing. The role is to drive AI use-cases end-to-end i.e. owning the roadmap, delivery, and go-to-market that turn high-value use cases into measurable impact across how the company sells, serves it's customers, and operates.

Key Responsibilties:

1. AI Strategy & Use-Case Ownership

• Own the AI transformation roadmap for the company, prioritizing use cases, and driving consensus across key stakeholders on the same.
• Translate opportunities into clearly scoped initiatives with defined success metrics, owners, and timelines.
• Maintain a sharp view of the company's priorities, ensuring AI initiatives are sequenced against the problems that matter most.

2. AI Product Delivery

• Drive the end-to-end delivery of AI products and agents - spanning conversational and voice agents, AI-generated client narratives, and internal/external productized tools - from build through testing, go-live, and iteration.
• Set and hold quality and performance bars (e.g. accuracy targets, latency, conversation quality), and define the test cases and acceptance criteria required for go-live.
• Run disciplined launch governance, including mandatory Go/No-Go decisions, milestone calendaring, and structured course-correction when risks surface.
• Partner closely with Product and Engineering to unblock delivery, and manage external AI vendors and partners against scope, cost, and quality.

3. Go-to-Market & Client Rollout

• Design and execute the GTM for AI products - defining target segments, decision-maker outreach, launch sequencing, and enablement.
• Build the supporting assets and operating model for rollout: sales scripts, communication templates, support flows, manuals, and beta framing.
• Coordinate sales leaders, business consultants, and client-facing teams through structured testing and launch, and establish feedback loops to capture qualitative and quantitative outcomes from clients.

4. Impact, Adoption & Reporting

• Define and track the metrics that prove value - adoption, accuracy, ROI, token/cost efficiency, and downstream commercial impact - and instrument initiatives so impact is measurable.
• Consolidate stakeholder and client feedback into trackers and structured reviews that drive the next iteration.
• Communicate progress, risks, and outcomes through concise, "so-what"-focused updates to senior leadership and the executive team, running a regular check-in cadence on the AI agenda.

5. Cross-Functional Leadership

• Act as the connective layer across Strategy, Product, Engineering, Commercial, and external partners, aligning them around shared goals and timelines.
• Influence and align senior stakeholders, sequencing the right people into the right decisions at the right time.
• Coach and direct junior team members and contributors supporting AI workstreams, raising the bar on execution quality across the group.

**Desired Qualification