Software Engineer, Product (Technical Leadership) - Central Growth

Meta

Menlo Park (CA)

On-site

USD 260,000 - 340,000

Full time

14 days+

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Job summary

Meta is seeking experienced engineers to join the Central Growth team, focusing on maximizing user growth across Meta apps and devices. The role involves defining long-term technical visions for scalable product systems and leading cross-functional initiatives to deliver measurable impact at global scale.

The candidate will mentor engineers, establish reliability and performance standards, and collaborate with legal and policy teams to address privacy and integrity requirements.

Qualifications

  • 12+ years of experience building large-scale applications.
  • 12+ years of programming experience.
  • 8+ years of web or mobile technologies.
  • Bachelor's degree in Computer Science, Computer Engineering, or related field.

Responsibilities

  • Define and drive the multi-year technical vision and architecture for large-scale product systems.
  • Identify and solve complex cross-cutting engineering problems across systems.
  • Establish extensible technical foundations and coding standards.
  • Lead cross-functional execution of organization-wide technical initiatives.
  • Develop and operationalize reliability standards, performance guardrails, and quality frameworks.
  • Deeply understand privacy, security, and integrity vulnerabilities and build safeguards.
  • Mentor engineers with candid feedback and coaching on design problems.
  • Communicate strategic trade-offs clearly to diverse audiences.
  • Identify systemic issues and develop architectural improvements.

Skills

12+ years of experience with building
12+ years of programming
8+ years of web or mobile technologies
Experience communicating across or to
Mentoring/influencing engineers
Leading cross-functional projects
Roadmap planning
Architectural improvements
Reliability, performance, quality
AI-assisted development practices

Education

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Job description

About

Meta is seeking experienced engineers to join our Central Growth team, the org responsible for maximizing user growth across every Meta app and device. We were one of Meta's first growth teams and have helped more than 3 billion people find value in Facebook, Instagram, WhatsApp, Threads, Meta AI and our wearables. We build and optimize the centralized levers the entire company depends on (access and identity, notifications, friending, cross-app linking, onboarding, SEO, and global distribution partnerships), and we own the platforms that unify the family of apps under a single Meta Account. The work is high-leverage by construction: a single change can move the trajectory of a billion-user product, and increasingly we are building AI-native systems so growth scales out-of-the-box to every new product Meta launches. If you want to work on products and platforms with immediate, measurable impact at global scale, this is where you belong.

Responsibilities
  • Define and drive the multi-year technical vision and architecture for large-scale product systems, ensuring designs are reliable, extensible, and capable of evolving with business needs
  • Identify and solve the most complex, cross-cutting engineering problems across multiple systems and abstraction layers, including issues that span organizational boundaries
  • Establish extensible technical foundations, coding standards, and architectural patterns that improve consistency and delivery velocity across engineering organizations
  • Lead cross-functional execution of org-wide technical initiatives, aligning stakeholders, managing dependencies, and driving outcomes against defined milestones and metrics
  • Develop and operationalize engineering excellence programs including reliability standards, performance guardrails, and quality frameworks adopted across teams
  • Deeply understand privacy, security, and integrity vulnerabilities relevant to product systems and build robust technical safeguards in partnership with compliance and policy teams
  • Mentor engineers across the organization by providing candid feedback, customized coaching, and technical guidance on the most challenging system and feature design problems
  • Communicate complex technical strategies and trade-offs clearly to audiences ranging from individual contributors to executive leadership, producing artifacts used as long-term references
  • Identify systemic issues and recurring failure patterns across the organization, developing invariants and architectural improvements that prevent entire classes of problems
  • Recruit and develop engineers with skills critical to the team's success, role-modeling technical and cultural standards that strengthen the broader engineering community
Minimum 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 Experience partnering with legal, policy, or compliance teams to design technical solutions that address privacy, security, or integrity requirements at scale
  • Track record of identifying and delivering step-change improvements to product systems through architectural rethinking or ground-up rebuilds
  • Experience defining and operationalizing reliability, performance, or quality frameworks adopted at an organizational or company-wide scale
  • Demonstrated ability to integrate AI-assisted development practices and agent-based workflows to drive measurable engineering productivity improvements
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