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Software Engineer; Leadership; Product

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Meta
Full Time position
Listed on 2026-09-02
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 GBP Yearly GBP 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer (Leadership) - Product
Location: Greater London

Meta is seeking talented principal engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will manage complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally.

  • Programming experience in a relevant language
  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
  • Experience communicating and working across functions to drive solutions
  • Experience mentoring/influencing experienced engineers across organizations
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Experience driving large cross-functional/industry-wide engineering efforts
  • Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Experience building large-scale applications or similar experience
  • Experience in programming languages such as C, C++, Java, Swift, or Kotlin, and scripting languages such as Python, Java script, or Hack
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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