DUBAI BASED ROLE. Relocation would be required but with highly competitive, tax free salary package.
Company Profile:
- Property Finder is the leading digital real estate platform in the Middle East and North Africa region.
- A UAE-born startup, Property Finder expanded its operations to Qatar, Bahrain, Saudi Arabia, Egypt and Turkey over the years
- The company is one of the largest technology start-ups in the region and Tech Unicorn.
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 Qualifications:
- 5–6 years of experience in a high-performance environment (top-tier consulting + strategy, product, or AI/technology), with a track record of shipping initiatives to outcomes.
- Prior work in software engineering is a plus.
- Demonstrated ability to deliver complex, cross-functional projects end-to-end - structuring ambiguous problems, driving execution, and managing risk and stakeholders to a result.
- Strong fluency with applied AI - practical understanding of LLMs, agents, and AI product workflows - and the judgment to know where AI does and does not create value.
- Experience driving go-to-market or commercial rollout, ideally with client-facing or sales stakeholders.
- Comfort with data: able to define metrics, work with data to diagnose and decide, and build a compelling, insight-led business case.
- Excellent storytelling and executive communication — able to build crisp narratives and presentations for senior and executive audiences.
- Ability to work with and influence people at all levels of the organization, and to direct or coach others on delivery.
- Fluency in English with strong oral and written communication skills.
- Strong command of MS Excel and MS PowerPoint, with an eye for detail.
