Director of Growth Engineering (Based in Dubai)

Property Finder
London
5 days ago
Create job alert

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.


Role Overview:


We are looking for a Director of Growth Engineering to own and lead the SEO Engineering, MarTech, Acquisition, and Social Engineering teams.

This role will be instrumental in scaling our user acquisition efforts through AI-driven search optimization, social engagement, and performance marketing technologies.

You will be responsible for engineering-led growth strategies, ensuring that our platform leverages cutting-edge SEO, paid and organic acquisition techniques, and marketing technology innovations to drive user engagement and conversions.


The ideal candidate has a strong technical background in growth engineering, SEO, and marketing automation, along with experience in leveraging AI and data-driven insights to enhance user acquisition and retention. You will work closely with product, data science, and marketing teams to build scalable systems that optimize how users find and interact with Property Finder.


Key Responsibilities:


1) SEO & Search Optimization


  • Lead the SEO Engineering team, ensuring AI-driven search optimization and automated ranking improvements.
  • Drive technical SEO strategies for crawling, indexing, and ranking optimizations, leveraging structured data, dynamic rendering, and AI-powered search personalization.
  • Develop programmatic SEO initiatives to scale landing pages and drive organic search traffic growth.
  • Implement A/B testing frameworks for SEO improvements, working closely with data science teams to track impact.
  • Stay ahead of search engine evolution, ensuring Property Finder adapts to AI-powered search landscapes (e.g., ChatGPT, Google SGE, and voice search).


2) MarTech / AdTech & Growth Automation


  • Own marketing technology (MarTech) infrastructure, ensuring a seamless data flow between product, marketing, and analytics teams.
  • Build and scale automated marketing platforms, including customer segmentation, attribution modeling, and dynamic content personalization.
  • Develop real-time analytics and reporting systems to optimize user engagement, retention, and conversion rates.
  • Optimize CRM and retargeting strategies, integrating first-party data with Google Ads, Meta, and other acquisition platforms.


3) Acquisition & Paid Growth Engineering


  • Lead engineering initiatives for performance marketing, attribution tracking, and audience segmentation.
  • Optimize paid search, display, and social advertising performance through data-driven automation and AI-powered bidding strategies.
  • Build real-time event-based data pipelines for tracking marketing effectiveness and campaign ROI.
  • Ensure seamless user journey tracking across web, app, and social channels to maximize engagement and conversion rates.


4) Social Engineering & AI-Powered Content Targeting


  • Lead the Social Engineering team, focusing on leveraging AI to optimize social media engagement as a property search problem.
  • Develop predictive models for dynamic content distribution across Meta, TikTok, YouTube, and emerging platforms.
  • Optimize content recommendation engines, ensuring personalized, high-impact property listings and video content targeting.
  • Build social listening tools and sentiment analysis systems to understand user behavior and refine targeting strategies.


5) Leadership & Cross-Team Collaboration


  • Build and lead a high-performing growth engineering team, fostering a culture of innovation, experimentation, and data-driven decision-making.
  • Partner closely with Product, Data Science, Marketing, and Engineering to align growth initiatives with business objectives.
  • Work directly with CMO, SEO leads, and performance marketing teams to enhance Property Finder’s omnichannel growth strategy.
  • Drive AI and machine learning adoption for growth automation, predictive analytics, and personalized user journeys.



Key Qualifications:


  • 10+ years of experience in engineering leadership, with a focus on growth engineering, SEO, MarTech, and acquisition technologies.
  • Strong technical SEO expertise, including crawling, indexing, structured data, Core Web Vitals, and AI-powered search.
  • Hands-on experience with MarTech platforms, attribution modeling, CRM integration, and marketing automation.
  • Expertise in performance marketing technologies, paid acquisition (Google Ads, Meta, TikTok), and growth analytics.
  • Proven ability to scale AI-driven recommendation systems for personalized property search and content targeting.
  • Experience with real-time data pipelines, event-driven architectures, and marketing automation workflows.
  • Deep understanding of user behavior analytics, conversion rate optimization, and retention strategies.
  • Familiarity with programmatic SEO, machine learning-based ranking models, and NLP for search optimization.
  • Strong leadership skills with experience in hiring, mentoring, and scaling growth engineering teams.
  • Data-driven mindset with expertise in SQL, BigQuery, Python, and analytics tools like GA4, Mixpanel, or Amplitude.

Related Jobs

View all jobs

Regional Director of Customer Success Europe

Senior Mechanical Design Engineer

3rd Line Infrastructure Engineer (15h Left)

Head of Commercial Insights

Senior Analytics Engineer

Principal Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Tips for Staying Inspired: How Machine Learning Pros Fuel Creativity and Innovation

Machine learning (ML) continues to reshape industries—from personalised e-commerce recommendations and autonomous vehicles to advanced healthcare diagnostics and predictive maintenance in manufacturing. Yet behind every revolutionary model lies a challenging and sometimes repetitive process: data cleaning, hyperparameter tuning, infrastructure management, stakeholder communications, and constant performance monitoring. It’s no wonder many ML professionals can experience creative fatigue or get stuck in the daily grind. So, how do machine learning experts keep their spark alive and continually generate fresh ideas? Below, you’ll find ten actionable strategies that successful ML engineers, data scientists, and research scientists use to stay innovative and push boundaries. Whether you’re an experienced practitioner or just breaking into the field, these tips can help you fuel creativity and discover new angles for solving complex problems.

Top 10 Machine Learning Career Myths Debunked: Key Facts for Aspiring Professionals

Machine learning (ML) has become one of the hottest fields in technology—touching everything from recommendation engines and self-driving cars to language translation and healthcare diagnostics. The immense potential of ML, combined with attractive compensation packages and high-profile success stories, has spurred countless professionals and students to explore this career path. Yet, despite the boom in demand and innovation, machine learning is not exempt from myths and misconceptions. At MachineLearningJobs.co.uk, we’ve had front-row seats to the real-life career journeys and hiring needs in this field. We see, time and again, that outdated assumptions—like needing a PhD from a top university or that ML is purely about deep neural networks—can mislead new entrants and even deter seasoned professionals from making a successful transition. If you’re curious about a career in machine learning or looking to take your existing ML expertise to the next level, this article is for you. Below, we debunk 10 of the most persistent myths about machine learning careers and offer a clear-eyed view of the essential skills, opportunities, and realistic paths forward. By the end, you’ll be better equipped to make informed decisions about your future in this dynamic and rewarding domain.

Global vs. Local: Comparing the UK Machine Learning Job Market to International Landscapes

How to evaluate opportunities, salaries, and work culture in machine learning across the UK, the US, Europe, and Asia Machine learning (ML) has rapidly transcended the research labs of academia to become a foundational pillar of modern technology. From recommendation engines and autonomous vehicles to fraud detection and personalised healthcare, machine learning techniques are increasingly ubiquitous, transforming how organisations operate. This surge in applications has fuelled an extraordinary global demand for ML professionals—data scientists, ML engineers, research scientists, and more. In this article, we’ll examine how the UK machine learning job market compares to prominent international hubs, including the United States, Europe, and Asia. We’ll explore hiring trends, salary ranges, workplace cultures, and the nuances of remote and overseas roles. Whether you’re a fresh graduate aiming to break into the field, a software engineer with an ML specialisation, or a seasoned professional seeking your next challenge, understanding the global ML landscape is essential for making an informed career move. By the end of this overview, you’ll be equipped with insights into which regions offer the best blend of salaries, work-life balance, and cutting-edge projects—plus practical tips on how to succeed in a domain that’s constantly evolving. Let’s dive in.