Assistant Vice President/Vice President, AI Product Manager — FULL_TIME. Drive the end-to-end lifecycle of internal AI solutions within a global investment firm to enhance complex workflows through agentic automation.
Key Responsibilities
- Own the full product lifecycle for assigned AI products including problem discovery, opportunity sizing, solution design, build prioritisation, launch, adoption tracking, and iterative improvement.
- Define product vision and strategy for AI use cases targeting investment, portfolio monitoring, research, and operations workflows.
- Translate senior stakeholder intent into concrete product roadmaps with sequenced delivery milestones.
- Make informed product decisions on AI system design including RAG, fine-tuning, prompt engineering, agent workflow structures, and human-in-the-loop checkpoints.
- Design evaluation frameworks to measure model performance and user success metrics.
- Conduct user research with investment professionals to analyse process pain points and prioritise product backlogs.
- Translate complex business needs into technically actionable AI product specifications including data requirements and model capabilities.
- Develop and maintain a product requirements framework covering system prompts, agent behaviour specifications, tool definitions, and API contracts.
- Serve as the primary interface between business stakeholders and engineering teams to manage expectations and communicate probabilistic outputs.
- Build and maintain a business case framework connecting product metrics to business value metrics like time saved and decision quality.
Job Requirements
- You hold a degree in a relevant technical or business field with significant experience in product management for enterprise-grade AI or software solutions.
- You possess a deep understanding of current AI capabilities including LLMs, RAG, and agentic workflows to inform technical product decisions.
- You have a proven track record of managing end-to-end product lifecycles in cross-functional environments from discovery to production.
- You demonstrate strong stakeholder management skills with the ability to translate complex business needs into actionable technical specifications.
- You are experienced in designing and maintaining evaluation frameworks and benchmarks to monitor AI model performance and reliability.
- You have the ability to articulate technical concepts and probabilistic AI outputs clearly to non-technical business stakeholders.
Job Details
- Location: Singapore.
- Job Type: Full-time.
