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Product Manager, Enterprise Solutions

Product Manager, Enterprise Solutions

facebook singapore pte. ltd.
8-11 Years
SGD 17,160 - 25,670 per month
Early Applicant
  • Posted 3 months ago
  • Be among the first 10 applicants

Job Description

As a Product Manager in the APAC Products cross-functional team, you will work on enabling AI-powered experiences for Enterprise customers, helping businesses transform how they engage with their audiences through intelligent solutions. This role is strategically important as you will shape the future of AI-enabled enterprise products across APAC. You will define new models for building, launching, and scaling AI-driven solutions that help enterprises automate workflows, personalize customer interactions, and unlock new business opportunities. You will partner with engineering, design, data science, and business teams to deliver meaningful AI-powered product experiences for enterprise clients. The team operates with close proximity to APAC markets, fostering best-in-class partnerships. Expect a collaborative, people-centered environment with experienced teammates who value mentorship and knowledge sharing.

This position offers a rare opportunity to shape AI-enabled enterprise products at global scale while being rooted in one of the world's most dynamic regions. If you're excited by bringing cutting-edge AI capabilities to enterprise customers and driving real business transformation, you'll thrive here.

Responsibilities

  • Define and execute product roadmaps for AI-enabled enterprise experiences, including automation tools, intelligent workflows, and personalization capabilities
  • Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area
  • Lead cross-functional collaboration across engineering, design, data science, sales, and partnerships to deliver integrated solutions
  • Drive go-to-market strategy for enterprise AI products in APAC markets, with potential for global expansion
  • Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the organization's capabilities compounds over time
  • Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices
  • Communicate product strategy and progress clearly and consistently to all stakeholders

Minimum Qualifications

  • 8+ years of Product Management experience
  • 3+ years experience leading AI/ML product initiatives at scale (enterprise or B2B preferred)
  • APAC market experience
  • Track record shipping products that drove measurable business outcomes for enterprise customers
  • Experience developing and scaling AI-native strategies including evals and data strategies across teams
  • Experience navigating complex, multi-stakeholder environments and influencing without authority

Preferred Qualifications

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

More Info

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Key Skills

AI-native strategies

Intelligent workflows

AI-powered product experiences

Quality and accuracy reviews

Bias mitigation

Agent orchestration

AI-driven solutions

Personalization capabilities

Prompt context engineering

Responsible ethical AI practices

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