APAC Business Marketing Manager, AI Ecosystem

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Description

At Meta, we believe AI transforms how people and businesses connect and grow. Our mission is to enable and inspire developers to build with Meta's AI models and new monetization businesses, cultivating a thriving AI Ecosystem grounded in innovation and trust. We're seeking a Business Marketing Manager for AI Ecosystem to grow the awareness, adoption, and sentiment of Meta's AI models and new monetization businesses with developers across the ecosystem including individual builders, startups, enterprises, and industry associations, spanning APAC's diverse markets. This role spans developers, ecosystem partners, and enterprise audiences, and it requires both a technical lens on AI models and demonstrated marketing acumen, from strategy through execution. You'll own the APAC go-to-market plan, combining day-to-day operational execution with longer-term strategic planning.

Responsibilities

Build and execute the AI developer marketing strategy for APAC to deliver on Meta's goal of having the most widely adopted AI models and products in the world Own the localized go-to-market plan: translate global launches and product-sourced narratives into locally resonant activations that address developer jobs-to-be-done across APAC priority markets Turn technical messaging, assets, and documentation into developer-ready content — blogs, videos, tutorials, demos, events, and solution guides — tailored to local audiences Drive the hybrid GTM motion across developers, partners, and enterprise: equip ecosystem partners, cloud providers, and enterprise engineering teams with the technical narrative and assets they need Plan and execute developer-first programs: hackathons, workshops, technical conference presence, community engagement, and digital campaigns Work directly with developers, partners, and customers across APAC to pressure-test messaging, gather feedback, and channel technical requirements back to product and engineering Use adoption data, developer funnel signals, and community sentiment to guide decisions and measure performance; establish clear operating rhythms and provide regular business and scorecard updates Collaborate cross-functionally with product marketing, product and engineering, developer relations, partnerships, digital marketing, events, communications, legal, and privacy Manage external vendors and agencies as needed to scale content and program production

Qualifications

10+ years of professional experience in technology, developer/platform marketing, or B2B technology marketing in APAC Experience marketing technical products to a developer, ML engineering, or data science audience — including a demonstrated understanding of the developer/ML persona (workflows, tooling, evaluation criteria, pain points) and the ability to build technically credible positioning and messaging Working knowledge of how developers build with AI — how they evaluate models, integrate them into their stack, and deploy — across the build, fine-tune, evaluate, and deploy lifecycle Experience developing technical content: tutorials, technical blog posts, videos, demos, benchmark or architecture explainers Experience operating across hybrid audiences: individual developers and communities, ecosystem/platform partners, and enterprise engineering organizations Marketing experience launching and driving adoption of new technical products in the GenAI space Experience working cross-functionally with product, engineering, developer relations, research, analytics, and digital marketing Experience using data to measure adoption and sentiment and optimize outcomes within a measurable framework Bachelor's degree in engineering, computer science, marketing, business, analytics, or a related discipline AI-native across the marketing workflow: uses AI tools as default practice for planning, operations, research, campaign production and reporting Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with developer-led or product-led growth, and measuring developer funnel signals (downloads, API calls, repository activity, retention) Experience engaging maintainer and contributor communities Active member of the AI Ecosystem and developer community, with contributions, technical writing, or conference speaking Experience implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality/accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with the APAC developer ecosystem — including startups, enterprises, and government agencies Professional fluency in one or more regional languages (e.g., Mandarin, Japanese, Korean, Bahasa Indonesia, Vietnamese, or Hindi) is a plus because the role requires direct engagement with developers, partners, and customers in local APAC markets where business is conducted in the local language