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Salary
≈ $243k – $495k per year (Estimated)
Location
In office (Menlo Park)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Oct 14, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility.

Responsibilities

Lead and manage a team of software engineers to deliver high-quality products and solutions Collaborate with cross-functional teams to drive technical innovation Develop and implement technical strategies to achieve business objectives Foster an environment of continuous learning, growth, and improvement

Qualifications

Experience supporting, coaching, mentoring, and developing software engineers 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management 2+ years of experience in managing a team of engineers with varied skill levels Bachelor's or Master's degree in Computer Science, or equivalent practical experience Demonstrated experience recruiting, building, structuring, and leading technical organizations, including performance management 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 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Hands-on technical management building large scale distributed systems

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