Software Engineering Manager, Recommendation Systems

Meta is looking for a Software Engineering Manager to lead a team building and advancing recommendation systems that power personalized experiences for billions of people across Meta's family of apps. In this role, you will drive the technical strategy and execution of ranking, retrieval, and recommendation infrastructure, partnering closely with product, data science, and infrastructure teams to deliver high-impact improvements to relevance, engagement, and user satisfaction at massive scale. Software Engineering Manager, Recommendation Systems Responsibilities: Lead a team of engineers building and optimizing recommendation and ranking systems across retrieval, scoring, and re-ranking stagesDrive roadmap creation for recommendation infrastructure, balancing near-term delivery with long-term technical investmentsContribute hands-on to technical decisions, including system architecture, model serving pipelines, and feature engineering frameworksPartner with data science, product, and infrastructure teams to align recommendation system development with business and product goalsIdentify and resolve bottlenecks in recommendation quality, latency, and engineering efficiency, including oncall load and technical debtSet clear goals and expectations for team members, provide timely and actionable feedback, and actively develop engineers' technical capabilitiesManage staged rollouts and experimentation frameworks to evaluate recommendation changes and measure impact on key engagement metricsCommunicate team strategy, technical decisions, and progress clearly to engineering peers, product partners, and leadershipProactively identify opportunities for automation and tooling improvements that expand the team's scope and efficiencyParticipate in recruiting, onboarding, and org-level contributions to strengthen the broader recommendation systems engineering community Minimum Qualifications: 4+ years of experience in software engineering working on recommendation systems, ranking, or related machine learning infrastructure2+ years of experience managing software engineering teams, including setting goals, providing feedback, and driving team executionExperience contributing hands-on to technical decisions in recommendation or ranking systems, including architecture, feature pipelines, or model servingExperience driving cross-functional collaboration with product, data science, and infrastructure partners to deliver measurable outcomesExperience identifying and resolving engineering efficiency issues such as technical debt, oncall burden, or system scalability constraints Preferred Qualifications: Familiarity with distributed training, model serving infrastructure, or real-time feature computation in the context of recommendation systemsExperience using experimentation frameworks to measure and iterate on recommendation quality and engagement metricsExperience leading teams that have shipped large-scale recommendation or personalization systems from inception to production impactTrack record of growing engineers' technical skills and expanding team scope through effective delegation and mentorship About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com. $184,000/year to $257,000/year + bonus + equity + benefits Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.