Enterprise AI Technical Product Marketing Manager

About the role

This role will help drive global go‑to‑market strategy and execution for Meta's enterprise AI products, including agent platforms, models, and APIs. Aligned to enterprise technical audiences, the position sits at the intersection of technical marketing, product, sales, and client enablement. The incumbent will understand technical stakeholders across the buying committee—from CIOs and CTOs who make decisions to developers and architects who run proofs of concept—and know how each group finds, evaluates, and implements AI solutions. The role will build Meta's point of view on enterprise AI and use that perspective to shape go‑to‑market approaches and product roadmaps. Technical fluency is required to hold credible conversations with developers about APIs, integration patterns, and model behavior, as well as to make governance and business cases to senior executives.

Responsibilities

• Develop and own audience strategy for enterprise technical stakeholders, including CIOs, CTOs, information security, architects, and developers.
• Create technical content such as 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 to both technical audiences and executive decision makers.
• Partner with product and engineering to translate platform capabilities into market‑facing value and 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 opportunities.

Minimum Qualifications

• BA/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.

Preferred Qualifications

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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Since Facebook launched in 2004, the company has changed how people connect. Apps like Messenger, Instagram, and WhatsApp further empower billions worldwide. Meta is now moving beyond 2D screens toward immersive experiences such as augmented and virtual reality to shape the next evolution in social technology. Employees who build their careers at Meta help shape a future that goes beyond digital connection, screen constraints, distance, and even the rules of physics.

Pay

$160,000/year to $224,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. The listed compensation reflects base salary only and does not include bonus, equity, or sales incentives.