Artificial Intelligence Governance Product Lead (AI Product Lead)

Ust Global Singapore · Singapore

Sector
AI
Function
Commercial & Customer
Level
Lead
Employment type
Full Time
Posted
2026-10-16
Source
mycareersfuture

Join UST Prism, our AI Governance platform, and help shape the future of responsible AI adoption for enterprises.What You'll DoOwn the product vision, strategy, and roadmap for PrismLead 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 capabilitiesMap product capabilities to real-world enterprise governance and approval workflowsShape product experience and drive customer adoptionSupport strategic customer engagements and implementationsWhy Join UsDefine the future of AI Governance for global enterprisesWork at the intersection of AI, regulation, risk, and innovationOwn a high-impact product with significant visibility and influenceWhat We're Looking For10+ years of overall experience, including:7-10+ years in Product Management, Product Strategy, or Product Leadership3-5+ years exposure to AI/ML, GenAI, LLM, or AI-enabled productsStrong experience working with enterprise customers, governance, compliance, risk, or regulated environments.Proven experience building enterprise software or AI-driven productsStrong knowledge of AI Governance, Risk, Compliance, or Regulatory frameworksFamiliarity with GenAI, LLMs, AI Agents, and enterprise AI adoptionExperience leading customer discovery, roadmap planning, and stakeholder managementAbility to bridge business, regulatory, and technical requirementsExcellent communication and executive stakeholder engagement skillsAI Governance, Agentic AI, Cloud Infrastructure, Product Management, Product Strategy, AI/ML, GenAI, LLM, AI-enabled products, Compliance, risk, Regulated environments, AI Agents

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