Business Support Engineer - AdTech

Meta is looking for an experienced Business Support Engineer to play a pivotal role in shaping the technical support experience for Meta's advertising partners, customers, and clients globally. In this role, you will lead the engineering strategy for partner integrations across Meta's Ads products, working directly with Platform and Infrastructure teams to investigate and resolve complex partner issues. You will drive systemic improvements to support frameworks, influence product roadmaps through data-driven insights, and set the technical direction for a global team of Business Support Engineers specializing in Meta's AdTech ecosystem. This role requires deep expertise in API integrations, cloud infrastructure, and AI-native tooling to proactively identify and eliminate root causes of partner-impacting issues at scale. Business Support Engineer - AdTech Responsibilities: Architect and own global troubleshooting methodologies, escalation frameworks, and engineering standards that elevate the operational excellence of the Business Support Engineering organizationLead the team's AI-native technical strategy, driving large-scale adoption of AI and LLM-based tools to transform partner support workflows and accelerate issue resolutionDesign, build, and optimize complex AI architectures using large language models, owning the full lifecycle from prototype to production deployment for support automation use casesDefine and implement performance monitoring systems for partner integrations across Meta's Ads and Business Messaging platforms, leveraging metrics to proactively surface and resolve systemic issuesPartner with cross-functional leadership across Product, Infrastructure, and Partnership teams to identify root causes of recurring partner issues and influence product roadmaps with data-driven proposalsEstablish technical communication standards for the team, including authoring reference architectures, integration guides, and representing the engineering organization in partner-facing and internal executive forumsLead zero-to-one initiatives that anticipate future platform needs, designing scalable support infrastructure for new Meta business product launches and partner integration patternsProvide oncall support coverage via rotation schedule to ensure high availability and rapid response for partner-impacting incidents across global time zonesMentor and develop other engineers on the team, setting technical direction and fostering an environment of continuous learning in AI, ML, and AdTech domainsManage complex, cross-functional programs spanning multiple business areas, driving alignment across regional offices and partnership teams to deliver consistent partner experiences globally Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience8+ years of experience as a software engineer or site reliability engineerProven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently any outages that are impacting Meta PartnersExperience with the full web stack, REST APIs, Python, PHP, and JavaScript/React development, along with debugging and bug managementExperience working with large language models or AI-based tooling in a production or applied contextExperience communicating with technical and business audiences and writing technical documentationExperience in assessing, analyzing, and resolving operational issues using data analysis (SQL) Preferred Qualifications: Experience in AdTech platforms, advertising APIs, or business messaging integrations, with familiarity in Meta's Ads or Business Products ecosystemExperience fine-tuning, optimizing, and deploying PyTorch-based models or LLM-powered agents at production scaleExperience with open-source cloud infrastructure tooling such as Kubernetes, Docker, or Kubeflow in a partner integration or support engineering contextDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesDemonstrated track record of integrating AI tools to redesign support workflows and deliver measurable efficiency or quality improvements at an organizational levelDemonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 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. $171,000/year to $240,000/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.