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

Property Finder
London
8 months ago
Applications closed

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Staff Machine Learning Engineer (UK)

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.

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