Technical Solutions Consultant

Meta is seeking a Technical Solutions Consultant to serve as a trusted technical advisor bridging the gap between Meta's advertising and business platform technologies and the partners and clients who build on them. In this role, you will diagnose complex integration challenges, design scalable solutions, and guide partners through the technical implementation of Meta's APIs, SDKs, and measurement products. You will work at the intersection of product, engineering, and client success to ensure partners can effectively leverage Meta's platform capabilities to drive business outcomes.

BA/BS in Computer Science, Engineering, Digital Marketing, or related degree 4+ years of experience in a technical consulting, solutions engineering, or technical account management role supporting API or platform integrations 4+ years of experience working with web technologies, including REST APIs, JavaScript, and server-side programming languages such as Python, PHP, or Node.js

Experience diagnosing and resolving technical integration issues across advertising measurement, data pipelines, or marketing technology platforms

Experience communicating technical solutions and integration guidance to both technical implementers and non-technical business stakeholders

Experience collaborating with product and engineering teams to translate partner or client feedback into actionable platform improvements

Experience with advertising technology platforms (Meta or otherwise), including technical troubleshooting of pixels, APIs, ad servers, or measurement integrations

Familiarity with digital advertising measurement concepts such as attribution modeling, event tracking, and privacy-preserving measurement approaches

Experience developing technical documentation, integration playbooks, or enablement resources that support partner self-service at scale

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience using data analysis tools or querying languages such as SQL to investigate platform usage patterns and inform solution recommendations

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Familiarity with prompt engineering, building lightweight agents, or developing AI-integrated processes

Experience applying AI tools responsibly to improve efficiency in analysis, troubleshooting, documentation, or workflow automation