3 days ago
Base Salary
$171k - $240k/yr
Responsibilities
- Architect and own global troubleshooting methodologies, escalation frameworks, and engineering standards for Business Support Engineering.
- Lead adoption of AI and LLM-based tools to transform partner support workflows and accelerate issue resolution.
- Design, build, optimize, and deploy AI architectures and large-language-model solutions for support automation.
- Implement performance monitoring for partner integrations across Meta Ads and Business Messaging platforms.
- Investigate recurring partner issues, identify root causes, and influence product roadmaps with data-driven proposals.
- Create technical communication standards, reference architectures, integration guides, and executive-facing materials.
- Lead zero-to-one initiatives and scalable support infrastructure for new Meta business products and integration patterns.
- Provide on-call support for partner-impacting incidents across global time zones.
- Mentor engineers and set technical direction across AI, ML, and AdTech domains.
- Manage complex cross-functional programs across business areas, regional offices, and partnership teams.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- At least 8 years of experience as a software engineer or site reliability engineer.
- Experience developing APIs on cloud infrastructure and independently debugging, identifying root causes, and resolving partner-impacting outages.
- Experience with the full web stack, REST APIs, Python, PHP, JavaScript, React, debugging, and bug management.
- Production or applied experience with large language models or AI-based tooling.
- Experience communicating with technical and business audiences and writing technical documentation.
- Experience assessing, analyzing, and resolving operational issues using SQL and data analysis.
- Preferred experience with AdTech platforms, advertising APIs, or business messaging integrations.
- Preferred experience fine-tuning, optimizing, and deploying PyTorch-based models or LLM-powered agents at production scale.
- Preferred experience with Kubernetes, Docker, or Kubeflow in partner integration or support engineering contexts.
- Preferred experience with prompt/context engineering, agent orchestration, responsible AI practices, risk assessment, bias mitigation, and quality reviews.
- Demonstrated ability to integrate AI tools into support workflows and deliver measurable efficiency or quality improvements.
Benefits
- Annual base salary of $171,000/year to $240,000/year, plus bonus, equity, and benefits.
- Global on-call rotation supporting partner-impacting incidents across time zones.
Tech Stack
Categories
AI ApplicationsSolutions Engineering
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.