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About the Role
This role involves providing global technical and engineering support to Meta’s Advertising partners, Customers, and clients. You will collaborate with a global team of Business Support Engineers, leveraging expertise in Meta’s Adtech to offer proactive and reactive support for partner issues and integrations. This includes partnering with cross-functional teams to ensure high-quality products and satisfactory partner/customer experiences. You will investigate and resolve issues reported by partners, assess and agree on actions for fixes, and drive continuous improvements in products and deployments. The role focuses on Meta’s Ads Products but also offers opportunities to work cross-functionally in Business Messaging and Telecommunications, applying technical experience and customer service skills with a product-focused mindset to communicate key insights to product teams. The ideal candidate possesses subject-matter knowledge in managing third-party integrations, fosters developer/business relationships, demonstrates critical thinking, blends systems design with business needs, and aims to improve customer support experiences. You will understand industry trends, partner solutions, and their implications for the product roadmap, working with regional offices and partnership teams to support global partners in integrating Meta’s Business Products.
Responsibilities
- Architect global troubleshooting methodologies and escalation frameworks to enhance the team's operational excellence and engineering standards
- Co-Lead the team's AI-native technical strategy, driving large-scale adoption of AI tools to transform support workflows and value delivery
- Build, launch, and optimize complex AI architectures using Llama and other LLMs, owning the full lifecycle from prototype to production
- Develop performance monitoring systems for partner integrations to ensure high availability; leverage metrics to proactively identify issues and drive improvements across teams
- Provide 24/7 oncall support coverage via rotation schedule (including weekends)
- Partner with internal and cross-functional leadership to identify systemic support issues and influence roadmaps with data-driven proposals to eliminate root causes
- Set technical communication standards, authoring reference architectures, and representing the team internally and externally
- Manage complex, cross-functional programs while fostering continuous AI/ML learning within the team
- Lead zero-to-one initiatives, anticipating future platform and partner needs
Requirements
- 8+ Years of experience as Software engineering or Site Reliability Engineering background
- Proven experience in API development on cloud-based infrastructures, being able to debug, identify root causes and resolve independently any outages that are impacting Meta Partners
- Experience with the full web stack, REST APIs, Python, PHP, and JavaScript/React development, along with debugging and bug management
- Knowledge of fine-tuning and optimizing PyTorch models and experience with at least one LLM, such as LLaMA, GPT, Claude, or Falcon
- Experience communicating with technical and business audiences and writing technical documentation
- Experience in assessing, analyzing, and resolving operational issues using data analysis (SQL)
- Experience transforming data, model selection/training/optimization, and deployment at scale
- Experience in partner-facing or customer-centric engineering roles
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Hands-on experience working with large language models and AI agents
- Experience collaborating in cross-cultural engineering environments with international stakeholders
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience building cloud solutions on any cloud
Skills
- API development
- Cloud-based infrastructures
- Debugging
- Root cause analysis
- Full web stack
- REST APIs
- Python
- PHP
- JavaScript/React development
- Bug management
- PyTorch model fine-tuning and optimization
- LLM (LLaMA, GPT, Claude, or Falcon)
- Technical and business communication
- Technical documentation writing
- Data analysis (SQL)
- Data transformation
- Model selection, training, and optimization
- Deployment at scale
- Partner-facing or customer-centric engineering
- Responsible AI practices
- Risk assessment
- Bias mitigation
- Quality and accuracy reviews
- Open Source cloud stacks (Kubernetes, Kubeflow, Docker containers)
- AI tool integration
- Large language models
- AI agents
- Cross-cultural engineering collaboration
- Prompt/context engineering
- Agent orchestration
- Emerging AI technologies
- Cloud solutions
Experience Level
- 8+ Years
About the Company
- Meta’s Advertising partners, Customers and clients globally
- Meta’s Adtech
- Meta’s Ads Products
- Business Messaging
- Telecommunications
- Meta’s Business Products