APAC Business Marketing Manager, AI Ecosystem

MetaBengaluru, KarnatakaOn-siteFull-timePrincipal, 12–15+ yearsListed 3 weeks ago

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About this role

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