Product Manager

Role Overview

This role sits within the APAC Products cross-functional organization and focuses on building AI-powered experiences for enterprise customers. You will help shape how businesses use intelligent products to automate work, improve customer engagement, and create new growth opportunities. The position has strategic importance for the future of AI-enabled enterprise offerings across the APAC region.

You will collaborate closely with engineering, design, data science, sales, and business teams to deliver product experiences that matter to enterprise clients. The environment is highly collaborative and team-oriented, with experienced colleagues who emphasize mentorship and shared learning. This is an opportunity to influence AI product direction at scale while staying closely connected to APAC market needs.

What You'll Do

• Build and manage product roadmaps for enterprise AI experiences, including automation features, intelligent workflows, and personalization capabilities.
• Set priorities by identifying the most valuable opportunities and building alignment across stakeholders.
• Work across engineering, design, data science, sales, and partnerships to launch integrated product solutions.
• Shape go-to-market plans for enterprise AI offerings in APAC, with room to expand beyond the region.
• Spread AI best practices, including responsible AI principles, across teams so product capabilities improve over time.
• Mentor and support other product managers and cross-functional teammates in AI-native ways of working.
• Clearly communicate strategy, progress, and priorities to stakeholders on an ongoing basis.

Minimum Qualifications

• At least 8 years of experience in product management.
• At least 3 years of experience leading AI/ML product work at scale, preferably in enterprise or B2B settings.
• Prior experience working in APAC markets.
• A history of launching products that produced measurable outcomes for enterprise customers.
• Experience creating and scaling AI-native approaches, including evaluation methods and data strategies across teams.
• Comfort working in complex environments with multiple stakeholders and influencing outcomes without direct authority.

Preferred Qualifications

• Ongoing development of AI capabilities such as prompt and context engineering or agent orchestration, plus awareness of emerging AI technologies.
• Ability to use AI tools to redesign workflows and deliver measurable improvements in efficiency or quality.
• Experience applying responsible AI practices, including risk review, bias reduction, and quality or accuracy checks.

About Meta

Meta creates technologies that help people connect, build communities, and grow businesses. From its early social products to newer immersive experiences, the company is focused on the next evolution of digital connection and human interaction.

Compensation and Benefits

Pay is based on skills, qualifications, experience, and location. Any compensation shown in a posting would represent base pay only and would not include bonus, equity, or sales incentives, where relevant. Benefits are also offered as part of the package.