Job 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 in the region. This is a hybrid role that spans developers, ecosystem partners, and enterprise audiences, and it requires both a technical lens on AI models and strong marketing acumen, from strategy through execution. You'll own the regional 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 your region 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 regionally resonant activation that addresses developer jobs-to-be-done in your 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 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

• 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
• Fluent English Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience engaging maintainer and contributor communities
• Experience with developer-led or product-led growth, and measuring developer funnel signals (downloads, API calls, repository activity, retention)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality/accuracy reviews)
• Experience with the regional developer ecosystem (LATAM/APAC/EMEA), including startups, enterprises, and government agencies.Professional fluency in the relevant local language(s) (e.g., Portuguese and/or Spanish for LATAM)
• Active member of the AI Ecosystem and developer community, with contributions, technical writing, or conference speaking
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies