Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 29, 2026. Meta scores B on the Alion truth index.
This position offers a 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 compound 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
Qualifications
8+ years of Product Management experience 3+ years experience leading AI/ML product initiatives at scale (enterprise or B2B preferred) APAC market experience, as the role supports enterprise product strategy and go-to-market efforts across APAC markets 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 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

