Software Engineer (Technical Leadership)

Meta•Washington, DC

1d•$271,000 - $347,000

About The Position

At Meta, this role in Privacy owns the interface between engineering organizations and the Governance, Risk and Compliance (GRC) functions that govern them. The engineer provides engineering, product, legal and policy partners with domain judgment to make decisions under regulatory constraints. The role sets technical direction across the organization for meeting privacy obligations and builds centralized standards, frameworks and tooling that help the business move quickly while meeting those obligations.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
12+ years of experience designing, building and scaling large-scale software systems serving high-traffic production environments.
12+ years of programming experience, with demonstrated ability to solve complex cross-system technical problems through direct implementation.
Experience leading multi-year technical roadmaps and cross-organizational engineering initiatives from vision through execution.
Experience influencing technical direction across multiple teams and functions through written proposals, architectural reviews and stakeholder alignment.
Experience mentoring engineers across an organization and improving engineering culture through programs, standards and direct coaching.

Nice To Haves

Technical contributions to the privacy or security community, such as public research, blogging, presentations or industry standards work.
Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and familiarity with emerging AI technologies.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience in a governance, risk and compliance or second-line-of-defense function, including controls design, assurance testing, or generating evidence for external audit or regulatory examination; experience working directly with regulators, external auditors or counsel on technical matters.
Experience interpreting regulatory, legal or control requirements and translating them into technical requirements, standards or automated enforcement.
Experience implementing or assessing implementation of GDPR, CCPA or equivalent privacy regulation at scale.
Privacy understanding, data strategy or AI domain expertise.
Experience shipping products to many millions of customers.
Experience serving as a company-wide expert in a privacy domain or problem area, such as data deletion or retention, and advising engineers, Legal, Policy and senior leadership.
Experience designing frameworks, standards or assessment methodologies adopted by organizations beyond the one that built them.
Technical experience in other Privacy or Security disciplines, such as Application Security/Privacy, incident response or adversarial testing.

Responsibilities

Define and drive the multi-year technical vision and architecture for large-scale product systems, ensuring they are reliable, extensible and able to evolve with business needs.
Identify and solve complex, cross-cutting engineering problems across systems and abstraction layers, including problems spanning 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 organization-wide technical initiatives, aligning stakeholders, managing dependencies and driving outcomes against milestones and metrics.
Develop and operationalize engineering excellence programs, including reliability standards, performance guardrails and quality frameworks adopted across teams.
Understand privacy, security and integrity vulnerabilities relevant to product systems and build technical safeguards with compliance and policy teams.
Mentor engineers across the organization through candid feedback, customized coaching and technical guidance on challenging system and feature design problems.
Communicate technical strategies and trade-offs to audiences ranging from individual contributors to executive leadership, creating artifacts that serve as long-term references.
Identify systemic issues and recurring failure patterns, and develop invariants and architectural improvements that prevent classes of problems.
Recruit and develop engineers with skills critical to the team's success, modeling technical and cultural standards that strengthen the broader engineering community.