Artificial Intelligence Governance Product Lead (AI Product Lead)

UST GLOBAL (SINGAPORE) PTE. LIMITEDSingaporemycareersfuturepublished 10/16/2026
Must-have:CloudAILead

Join UST Prism, our AI Governance platform, and help shape the future of responsible AI adoption for enterprises.

What You'll Do

  • Own the product vision, strategy, and roadmap for Prism
  • Lead customer discovery and translate insights into impactful product features.
  • Act as the domain authority on AI governance and the regulatory frameworks that shape it (for example the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001), translating requirements into product features.
  • Partner with engineering to define and prioritize AI, LLM, and agent-based capabilities
  • Map product capabilities to real-world enterprise governance and approval workflows
  • Shape product experience and drive customer adoption
  • Support strategic customer engagements and implementations

Why Join Us

  • Define the future of AI Governance for global enterprises
  • Work at the intersection of AI, regulation, risk, and innovation
  • Own a high-impact product with significant visibility and influence

What We're Looking For

  • 10 + years of overall experience, including:
  • 7-10+ years in Product Management, Product Strategy, or Product Leadership
  • 3-5+ years exposure to AI/ML, GenAI, LLM, or AI-enabled products
  • Strong experience working with enterprise customers, governance, compliance, risk, or regulated environments.
  • Proven experience building enterprise software or AI-driven products
  • Strong knowledge of AI Governance, Risk, Compliance, or Regulatory frameworks
  • Familiarity with GenAI, LLMs, AI Agents, and enterprise AI adoption
  • Experience leading customer discovery, roadmap planning, and stakeholder management
  • Ability to bridge business, regulatory, and technical requirements
  • Excellent communication and executive stakeholder engagement skills

AI Governance, Agentic AI, Cloud Infrastructure, Product Management, Product Strategy, AI/ML, GenAI, LLM, AI-enabled products, Compliance, risk, Regulated environments, AI Agents