Develop and own audience strategy for enterprise technical stakeholders, including CIOs, CTOs, information security, architects, and developers Create technical content including demos, architecture overviews, whitepapers, security documentation, and competitive proof points Build programs that support technical evaluation, including developer enablement, sandbox and POC frameworks, and self-serve onboarding paths Craft narratives that explain Meta's AI platforms, models, and APIs credibly to technical audiences and to executive decision makers Partner with product and engineering to translate platform capabilities into market-facing value, and to feed audience insight back into the roadmap Guide and partner with cross-functional teams, both global and regional, in developing sales collateral and technical marketing content Conduct market and competitive research on enterprise AI platforms to identify positioning gaps and opportunitiesBA/BS degree 8+ years of experience in product marketing, product management, or technical sales/marketing Technical fluency sufficient to speak credibly with developers about APIs, integrations, and platform architecture Experience marketing or managing API-first products, developer platforms, AI/ML products, or comparable enterprise technology Demonstrated understanding of how enterprise technical stakeholders find, evaluate, and implement technology solutions Track record of collaborating with cross-functional/cross-org teams to drive results Experience simplifying complex technical concepts and communicating effectively with different audiences (e.g. product, engineering, sales, executives, customers) Experience contributing at both strategic and tactical levels Project and program management skills Familiarity with enterprise AI governance, compliance requirements, and procurement processes Engineering, computer science, or technical background Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with AI agent platforms, LLMs, or conversational AI products Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience building developer enablement programs, POC frameworks, or technical documentation strategy Data analytics skills Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesMeta builds technologies that help people connect, find communities, and grow businesses.