Meta
Software Engineer (Technical Leadership) - Central Growth
$271K–$347K
Menlo Park, CA +2 · Remote · Full-time · Posted Oct 14, 2026
- Location
- Menlo Park, CA
New York, NY
Remote, US - Experience
- 12+ years building large-scale applications, or similar experience; 12+ years programming; 8+ years with web or mobile technologies.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Leads technical vision and cross-organizational engineering initiatives for Meta’s centralized growth systems and platforms, which support user growth across Meta apps and devices.
What you'll do
- Set multi-year architecture and technical direction for large-scale product systems, and solve complex problems across systems and organizational boundaries.
- Lead cross-functional initiatives and establish engineering standards, reliability, performance, and quality frameworks.
- Mentor and recruit engineers, and build safeguards for privacy, security, and integrity in partnership with compliance and policy teams.
What they ask for
- 12+ years of experience building large-scale applications, or similar experience, and 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 leading large cross-functional engineering efforts, mentoring or influencing engineers across organizations, and planning multi-year roadmaps.
Nice to have
- Experience partnering with legal, policy, or compliance teams on privacy, security, or integrity solutions at scale.
- Demonstrated ability to use AI-assisted development practices and agent-based workflows to improve engineering productivity.
Pay
$271,000/year to $347,000/year (base salary); bonus and equity amounts not specified.
AI focus
Integrate AI-assisted development practices and agent-based workflows to improve engineering productivity; build AI-native growth systems.
Model-written summary · the original posting is authoritative