Business Support Engineer - AdTech

Overview

We are seeking an experienced business support engineer to provide technical support for Meta’s Advertising partners, clients and customers globally. This role involves working collaboratively with a global team of experts in AdTech to deliver both proactive and reactive assistance, while closely partnering with cross-functional teams to ensure product quality and partner satisfaction. You will handle complex issues by collaborating with Platform and Infrastructure teams, overseeing incident resolution, and driving enhancements in product deployments.

Key Responsibilities

• Provide both proactive and reactive engineering assistance to partners, independently managing complex outages for maximum partner satisfaction.
• Troubleshoot distributed large-scale systems and partner integrations using root cause analysis and debugging techniques to keep systems stable.
• Utilize AI technologies to speed up troubleshooting, automate repetitive labor, and magnify impact with an AI-forward mindset.
• Develop, implement, and improve AI solutions—particularly with Llama and other large language models—managing the entire lifecycle from concept to production.
• Create performance monitoring tools for partner integrations, ensuring their availability and reliability.
• Use data metrics to anticipate potential problems and support cross-team process improvements.
• Participate in 24/7 on-call rotations including weekends for urgent support coverage.
• Collaborate with platform and infrastructure teams to analyze issues, strategize fixes, and promote continual product development.
• Produce clear, detailed technical documentation, specifications, and presentations to explain AI concepts effectively to various audiences, thereby extending team knowledge internally and externally.
• Lead projects from initiation to completion, managing stakeholders’ expectations clearly and applying sound judgment. Mentor and coach other engineers in troubleshooting and project execution.
• Conduct independent data-driven analysis to identify trends and opportunities, recommend tactical enhancements, anticipate business needs, and disseminate knowledge within the team.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience.
• Minimum 5 years’ experience in software engineering, site reliability, or support engineering.
• Hands-on experience developing APIs on cloud platforms, with strong debugging and root cause identification skills to resolve partner-impacting issues.
• Proficiency in web stack technologies including REST APIs, Python, PHP/Hack, JavaScript, and React including debugging and issue tracking.
• Familiarity with fine-tuning and optimizing PyTorch models and working knowledge of at least one large language model such as LLaMA, GPT, Claude, or Falcon.
• Demonstrated ability to communicate effectively with both technical and business stakeholders, including producing technical documentation.
• Experience with data analysis using SQL to assess and resolve operational challenges.
• Ability to manage multiple projects simultaneously, driving initiatives in cross-functional teams.
• Professional working proficiency in English for effective global collaboration.

Preferred Skills

• Experience with open source cloud infrastructure like Kubernetes, Kubeflow, and Docker containers.
• Knowledge of ethical AI practices including risk assessment, bias mitigation, and accuracy evaluations.
• Expertise in data transformation, model selection, training, optimization, and scalable deployment.
• Continuous development of AI skills such as prompt engineering and agent orchestration, staying abreast of emerging AI technologies.
• Practical experience working with large language models and AI agents.
• Capability to develop and deploy solutions on cloud platforms such as AWS, GCP, or Azure.
• Experience operating in multi-cultural, globally distributed engineering teams and interacting with international stakeholders.
• Background in partner-oriented or customer-centric engineering roles.
• Proven record of integrating AI tools to enhance workflows, achieving measurable efficiency and quality gains.

About Meta

Meta aims to build technologies that enable connections, community growth, and business expansion. Originating from Facebook’s launch in 2004, Meta extends its impact through apps like Messenger, Instagram, and WhatsApp. The company is now focused on immersive experiences in augmented and virtual reality, forming the next stage of social technology beyond traditional digital interactions.