Software Engineer - Technical Leadership
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Before you apply
LocationLondon, UK
Typefull-time
SeniorityLead
DepartmentSoftware Engineering
Company size10,000+ people
PostedMay 22, 2026 · 5mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Experience leading projects with industry-wide impact
Experience communicating and working across functions to drive solutions
Experience mentoring/influencing senior engineers across organizations
Proven track record of planning multi-year roadmaps in which shorter-term projects ladder to the long-term vision
Strong experience with building large-scale applications, or similar experience
Experience with web or mobile technologies
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience applying privacy frameworks, data strategy, or AI/ML techniques to product development
Experience shipping products to many millions of customers
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Skills
web
mobile
About the company
At Meta, we build products that integrate privacy into the user experience. We believe that privacy is more than a feature; it’s a fundamental right. That’s why we’re committed to embedding privacy into the very heart of our products. We’re on a mission to redefine the way privacy is handled in the digital world, and we’re looking for engineers to join the team.
About the role
In service of this goal we have multiple high visibility, high impact senior engineering roles available in Privacy, which will put you right at the heart of some of the company’s most important investments and challenges. You might find yourself working on a company wide regulatory response, supporting product teams across Meta on both technical strategy and execution. Or you may develop a deep expertise in a particular theme of external pressure, shaping the company technical direction and developing centralized systems and tooling to allow the business to execute at pace whilst staying on top of our obligations.
Responsibilities
•
Drive technical strategy for company trajectory-altering problems, negotiating the approach with executive leadership and developing the execution plan with partner orgs, and ensuring we meet privacy commitments while optimizing for company efficiency
•
Establish technical direction for new Privacy teams working in areas with evolving requirements and significant organizational complexity
•
Accelerate our ability to meet privacy commitments by developing and applying novel technologies
•
Partner and effectively communicate with teams across Meta to navigate complex technical trade offs in their privacy decision making
•
Identify and execute upon opportunities to help the company move fast through centralization of tooling and systems
•
Embrace a constantly evolving environment where the process is fluid and creative solutions are operationalized at a very fast pace
Minimum qualifications
•
Experience leading projects with industry-wide impact
•
Experience communicating and working across functions to drive solutions
•
Experience in mentoring/influencing senior engineers across organizations
•
Proven track record of planning multi-year roadmaps in which shorter-term projects ladder to the long-term vision
•
Strong experience with building large-scale applications, or similar experience
•
Experience with web or mobile technologies
•
Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Preferred qualifications
•
Experience applying privacy frameworks, data strategy, or AI/ML techniques to product development
•
Experience shipping products to many millions of customers
•
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
•
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
•
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies