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Business Support Engineer

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Meta

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Location:
United States , Menlo Park

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

142000.00 - 201000.00 USD / Year
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Job Description:

Meta is embarking on the most transformative change to its business and technology in company history, and Business Support Engineers will be at the forefront of this evolution with our business AI platform. We are looking for an engineer to play a key role in providing technical support to Meta’s partners with a interest for customer service and desire to improve the experience. We strive to continuously improve our products through development, fixes, and recommendations for our products to deliver a great experience for our customers and users. As a Business Support Engineer, you will understand industry trends, our partner's network evolution roadmap and its implication to our product roadmap. You will work closely with other regional offices and partnership teams and support a broad range of partners across the globe to integrate AI for business products into their offering.

Job Responsibility:

  • Provide continuous proactive and reactive engineering support for our Business partners that use our AI products, ensuring a high level of satisfaction from our service
  • Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art LLMs
  • Develop and maintain performance monitoring systems for infrastructure and operations to ensure our business partners’ integrations are highly available
  • Develop and troubleshoot large-scale distributed systems that run our business AI infrastructure as well as partner specific integrations that utilize our platform
  • Analyze complex datasets for large-scale distributed systems to troubleshoot and improve our systems
  • Provide 24x7 on-call support coverage via rotation schedule (including weekends)
  • Work directly with Platform and Infrastructure teams to investigate and properly assess reported issues and agree on fixes to be taken for continuous improvements in our products and deployments
  • Proactively analyze information to identify specific trends/opportunities and recommend appropriate tactical improvements, anticipating future business needs to improve the overall support experience and share this knowledge across the team
  • Consistently deliver constructive feedback to peers in a way that strengthens relationships and enables projects to advance more quickly while motivating and uniting the team to achieve common goals
  • Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally
  • Can effectively and constructively manage priorities and/or the direction of a certain project when needed by identifying where we can pause, remove roadblocks,stop pieces of work and/or re-prioritize resources

Requirements:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in software engineering, support engineering, reliability engineering or related
  • 6+ years of experience in one or more of the following areas: machine learning, recommendation systems, natural language processing, data mining, artificial intelligence, AI-Infrastructure, or related technical field
  • Experience with the full web stack, REST API, Python, PHP/Hack, JavaScript/React development along with debugging and bug management support
  • Knowledge on fine-tuning and optimizations of PyTorch models and with at least one LLM such as Llama, GPT, Claude, Falcon, etc
  • Experience in communicating with technical and business audiences and creating technical documentation
  • Experience assessing, analyzing, and resolving operational issues using data analysis (SQL)

Nice to have:

  • Hands-on experience working with large language models and AI agents
  • Experience building cloud solutions on any cloud
  • Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers
  • Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
March 22, 2026

Employment Type:
Fulltime
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