Software Engineer (Technical Leadership)

Meta is seeking experienced engineers to join our Central Integrity team which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine solid engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is the team for you.

As a Principal Engineer on the Access & Compromise team, you will own the technical direction for how Meta prevents, detects, and remediates account and entity compromise across the Family of Apps, spanning authentication and recovery integrity, compromise detection, enforcement, and the measurement systems that prove real harm reduction.

Responsibilities

Own the multi-year technical strategy for account and entity compromise across the Family of Apps - negotiating the approach with executive leadership, developing the execution plan with partner orgs, and sequencing the bets that reduce real-world harm fastest
Protect Meta's user accounts, assets and the people behind them from adversaries who gain unauthorised access, and from the downstream harm that follows - scams, financial loss, impersonation, and abuse of trusted accounts
Own the full integrity lifecycle for account access: authentication and recovery integrity, detection of compromise signals, enforcement and remediation, and the measurement systems that tell us whether we are actually reducing harm
Establish technical direction in our most highly pressured and ambiguous areas, where adversaries are motivated, organised, and constantly adapting - sustaining strategy, measurement discipline, and speed of iteration against an active opponent
Bring integrity requirements into new products and account models, including newly launched apps such as Muse - so they are secure and integrity-ready from day one rather than retrofitted after harm appears
Define how we measure harm: compromise rates, harm prevented, recovery success, and false-positive cost to good users, setting the metrics the org is held to
Partner and effectively communicate with teams across Meta to navigate complex technical trade-offs between user protection, product friction, and business outcomes
Identify and execute on opportunities to help the company move faster through centralization of tooling and systems across legacy identity systems and new account models
Adapt to changing priorities by reassessing plans, communicating trade-offs, and iterating on solutions as requirements evolve

Qualifications

12+ years of experience with building large-scale applications, or similar experience
12+ years of programming experience
8+ years of experience with web or mobile technologies
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience communicating and working across functions to drive solutions
Experience in driving large cross-functional/industry-wide engineering efforts
Experience in mentoring/influencing engineers across organizations
Experience leading projects with industry-wide impact
Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision Track record of identifying and delivering step-change improvements to product systems through architectural rethinking or ground-up rebuilds
Experience working on adversarial problems where bad actors actively adapt to countermeasures
Experience partnering with legal, policy, or compliance teams to design technical solutions that address privacy, security, or integrity requirements at scale
Demonstrated ability to integrate AI-assisted development practices and agent-based workflows to drive measurable engineering productivity improvements
Experience building detection, classification, or enforcement systems for abuse, fraud, or safety harms at consumer scale
Experience defining and operationalizing reliability, performance, or quality frameworks adopted at an organizational or company-wide scale
Experience in trust and safety, risk, fraud, security, or regulated-domain engineering