VP, Enterprise Software Engineering - B2B (Based in Dubai) (Hiring Immediately)

Property Finder
London
1 year ago
Applications closed

Related Jobs

View all jobs

Staff / VP, Machine Learning Engineer (UK)

Staff / VP, Data Scientist (UK)

Vice President, Head of Discovery Data Science

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 a recent Unicorn.


Position Summary:


  • As the VP, Engineering for Enterprise B2B Services, you will head the strategic development and execution of Property Finder’s client-facing applications and enterprise catalog services.
  • This role demands a dynamic leader who will drive innovation and work closely with product teams to launch new solutions for clients and consumers.
  • Your responsibilities include overseeing engineering managers and technical leads to deliver high-quality software adhering to modern architectural standards.
  • This pivotal role necessitates strategic collaboration with product and technology executives to shape and realize the long-term technical vision.


Key Responsibilities:


  • Champion collaboration across product management, design, and engineering teams to develop market-leading enterprise services and data products.
  • Propel the integration of AI technologies within product and engineering teams to foster innovation and enhance product offerings.
  • Articulate and propagate a long-term technical strategy, ensuring the development of scalable, robust products. Guide technical decisions to fulfill business objectives.
  • Mentor and guide engineering managers and technical leaders, enhancing team productivity, engagement, and performance.
  • Direct initiatives for the modernization of legacy systems and accelerate the delivery of new product capabilities within B2B services and data solutions.
  • Oversee critical domains such as Enterprise Catalog Services, Client-Facing B2B Applications, Agent Experience, and Agent Onboarding Platforms, to ensure optimal performance and user satisfaction.
  • Manage the deployment of web applications across more than five countries in the MENA region, customizing solutions to meet diverse local compliance and business needs.
  • Implement stringent engineering processes and governance throughout the product development lifecycle to guarantee the delivery of high-quality releases.
  • Define project timelines and oversee execution strategies in close collaboration with product management.
  • Cultivate an environment that attracts, develops, and retains elite engineering talent while promoting an inclusive workplace culture that encourages innovation and professional growth.
  • Promote a culture of quality, speed, and excellence in operational practices within the engineering teams, leveraging metrics for continuous improvement.
  • Supervise external supplier relations and contracts, managing budgets, partnerships, and contract fulfillment effectively.


Required Experience:


  • Minimum of 15 years in engineering leadership, managing expansive, geographically dispersed software engineering teams.
  • Demonstrated success in architecting and scaling exceptional engineering organizations.
  • Deep understanding of contemporary software engineering practices, architectural norms, and team dynamics.
  • Strong background in data products and AI technology landscapes.
  • Visionary in technology with a knack for balancing strategic imperatives with tactical needs.
  • Comprehensive experience overseeing the entire software development lifecycle of SaaS products.


Desirable Experience:


  • Proficiency in data-driven product development.
  • Knowledge in machine learning and cutting-edge technologies.
  • Expertise in cloud infrastructure and deployment platforms.
  • Well-versed in agile software development methodologies.
  • In-depth understanding of security, privacy, and compliance within SaaS ecosystems.
  • Practical experience with Property Finder’s technical stack: Go, PHP, Python, Swift UI, Kotlin, React, AWS, and Kubernetes.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.