Manager, Software Engineering (M2)

Meta
London
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineering Manager | £110k – Java, Vue.js & AWS

Data Science Manager

Founding Computer Vision Engineer

Quantitative Developer

Quantitative Developer

Senior Data Engineer

Summary: Here at Meta, we have a commitment to the users of all our platforms to honour their Privacy in everything we do. Working on Privacy at Meta will give you the opportunity to build products and systems to improve Privacy and enable millions of users to be in control of their data across Meta products and services. Ensuring that Meta is a trusted steward of our users' information and in accordance with Privacy policies is a top priority for the company.The Sensitive Data team is based in London and consists of engineers, product managers, data scientists, legal counsel and policy experts who are passionate and driven to improve the privacy of sensitive data for our users' worldwide. We create solutions, build products and research new privacy-enhancing technologies that enables Meta to govern and protect the sensitive data we process.As a senior manager in our team, you will provide the leadership direction and expertise necessary to identify innovative solutions for highly ambiguous Privacy problems across the area of Sensitive Data. You will help to develop and execute Privacy solutions across our products, and partner with organizations and technical leaders across the company Required Skills: Manager, Software Engineering (M2) Responsibilities: - Directly support engineering managers and senior individual contributors - Influence org-level strategies and roadmaps - Drive org-level initiatives - Develop a deep privacy sense and applying it for effective decision making - Provide mentorship and coaching for senior engineers and engineering managers - Drive a culture of engineering excellence Minimum Qualifications: Minimum Qualifications: - Demonstrated ability to manage technical teams - BS / MS in Computer Science (In lieu of degree, relevant work experience) - Experience of successfully leading impactful org-level initiatives - Demonstrated ability to grow and mentor engineering managers and senior engineers Preferred Qualifications: Preferred Qualifications: - Experience of solving privacy issues and meeting regulatory obligations Industry: Internet

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.

AI Summit London 2025: A Complete Guide for UK AI Engineers & Recruiters

Artificial intelligence may be a border-less technology, but every ecosystem needs a beating heart where the community meets face-to-face. For the British Isles that heart is The AI Summit London, the headline AI event of London Tech Week, returning to Tobacco Dock on 11–12 June 2025. With eight content stages, 4 500+ attendees and 300 speakers spanning government, FTSE-100 giants and rocket-ship start-ups, the Summit offers a year’s worth of insight, deal-making and career acceleration in just 48 hours. Whether you are an AI engineer optimising vector databases, a data scientist pivoting into prompt ops, or a hiring manager scouring the market for talent, this handbook distils everything you need to hit the ground running—from ticket tactics and agenda highlights to networking hacks and post-event ROI.

AI Engineer World’s Fair 2025: The Complete UK Guide to June’s Unmissable AI Engineering Event

If 2024 was the year every product team rushed to bolt an LLM onto their roadmap, 2025 is when the craft of AI engineering finally takes centre stage. From rapid-fire prompt iterations to robust eval pipelines, the discipline now demands the same rigour we once reserved for cloud infra or mobile apps. That is precisely why the AI Engineer World’s Fair, 3–5 June 2025 in San Francisco, matters more than any keynote or press release: it is the one place where the movers, makers and maintainers of production-grade AI swap battle-tested patterns in person. For UK technologists—and the recruiters who hire them—the Fair offers a rare chance to compress a year’s worth of learning, networking and tooling discovery into three intense days. Whether you are scaling RAG systems on Azure, bootstrapping an agentic start-up from your kitchen table, or simply hunting for your first AI engineer job, the sessions, workshops and hallway conversations can tilt your career trajectory. The guide that follows distils everything you need to know—programme highlights, travel hacks, ticket tips and post-event ROI—so you can decide if a flight across the Atlantic (or a virtual pass) is the smartest investment you’ll make this year.

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.