{"id":3435781,"url":"https://alion.io/job/meta-director-software-engineering-central-integrity-2","title":"Director Software Engineering - Central Integrity","company":{"id":20,"name":"Meta","domain":"meta.com","url":"https://alion.io/company/meta","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":{"grade":"B","score":77,"open_postings":241,"ghost_share":0,"stale_share":0.934,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":288000,"max_usd":540000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"LLM","optional":false}],"status":"live","first_seen_at":"2026-10-28T23:12:37Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-31T18:04:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Meta is seeking an engineering director 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 a large-scale deployment of AI for positive real-world impact. 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 strong 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 right role for you.Responsibilities\nDefine and drive the engineering strategy for Integrity Measurement Platform, with a focus on AI and LLM-powered measurement capabilities Lead engineering and research talent to build trusted, customer-first measurement platforms and metrics Partner with leaders across Central Integrity, Meta's apps, and Monetization to shape strategy and inform consequential product decisions. Drive technical vision for LLM-powered measurement and AI agents that explain metric changes and support investigations Build shared capabilities that help teams across Meta move faster in understanding and managing risk Prioritize customer outcomes by starting with customer outcomes and building trusted partnerships with leadership Attract, develop, and retain engineering talent with a high bar for reliable platforms, data pipelines, and operational excellence Guide a highly technical organization through the AI transformation of its measurement capabilities Drive organizational health by proactively diagnosing and addressing issues surfaced through team feedback and manager effectiveness data Represent an engineering perspective in executive-level planning and strategic decision-making for integrity measurement initiatives\nQualifications\n10+ years of technical industry experience in software engineering 7+ years of engineering management experience, including managing engineering managers A track record of building and scaling engineering organizations, including recruiting, developing, and managing the performance of engineers and engineering leaders Experience forming cross-functional partnerships across product, design, and data science to deliver large-scale engineering outcomes Experience reasoning rigorously with metrics and data, with an understanding of statistical uncertainty, bias, and ecosystem trade-offs Experience applying AI and LLMs to measurement, analytics, or data platform challenges Experience in trust and safety, risk, fraud, security, or regulated domain engineering Experience leading engineering teams through significant platform or tooling transitions, including the adoption of AI-augmented development workflows Experience building or contributing to systems, policies, or processes that improve platform safety for people and businesses Track record of driving cross-organizational collaboration and building trusted partnerships with leadership Experience managing distributed or geographically dispersed engineering organizations","description_format":"text","description_chars":3485,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":7,"team_size_min":null,"manages_managers":true,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Virtual & Augmented Reality","Digital Media","Foundation Models"],"lifecycle":[{"event":"open","at":"2026-10-29T02:47:39Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely 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