Forward-Deployed Engineer - (GSSM)

Job Summary

Forward-Deployed Engineer - Global Sourcing Supply Management (GSSM) Solutions. Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. We're looking for customer-facing Forward-Deployed Engineers (FDEs) who can rapidly identify operational pain points, build practical AI-powered solutions and deploy them in real-world environments.

This role sits at the intersection of Engineering, Product, Data and Customer Success. You'll work directly with users to understand workflows, uncover the highest-impact problems and quickly deliver solutions using AI, automation, APIs, data engineering, ETL/ELT pipelines and cloud tooling. Success in this role requires strong engineering ability, data engineering fundamentals, operational problem-solving, communication skills and the ability to move from ambiguity to implementation quickly. You are not just advising on solutions - you are building and operationalising them.

Responsibilities

• Partner directly with business stakeholders, engineers and product managers to understand operational workflows, deployment requirements and process bottlenecks
• Translate ambiguous business needs into practical, scalable technical solutions
• Identify high-impact operational pain points and rapidly deliver solutions that create measurable value
• Scope, design, build and deploy AI-powered internal tools, workflow automations and system integrations across test and production environments
• Lead business implementations and deployments as a Forward-Deployed Engineer / Technical Product Manager (FDE/TPM)
• Build and maintain integrations across APIs, systems and data platforms
• Design and implement data pipelines and ETL/ELT workflows to ingest, clean, transform, validate and prepare data for AI and data-intensive applications
• Work with large, complex and heterogeneous datasets across multiple enterprise systems and data sources
• Develop data-processing workflows that combine structured and unstructured data, including databases, spreadsheets, documents, APIs and other enterprise data sources
• Establish data quality checks, validation processes and monitoring to ensure data is reliable and usable by downstream applications
• Troubleshoot data pipelines and investigate issues related to data quality, schema changes, ingestion failures, transformation errors and data availability
• Work with engineering teams to design data architectures and pipelines that support scalable AI applications, analytics and automation workflows
• Troubleshoot production issues, debug live environments and drive issues through resolution
• Guide user adoption, training and iterative improvement as workflows and AI capabilities evolve
• Partner closely with product and engineering teams to improve platform capabilities based on real-world operational feedback
• Operate effectively in dynamic environments with evolving business and deployment requirements

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.