Senior Associate/Assistant Vice President, AI Product Manager

Temasek International Pte. Ltd.; Singapore; In loco; SGD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Temasek International Pte. Ltd. in Singapore is seeking an experienced Product Manager for AI/ML platforms, with 4-8 years in product management and at least 2 years owning AI/ML products from problem framing through production deployment.

You will work with AI engineers to review prompt architectures, evaluate RAG pipelines and model choices, and apply evaluation frameworks to produce measurable impact in financial services contexts.

Competenze

• 4-8 years of product management experience with at least 2 years owning AI/ML products.
• Experience shipping AI products from framing to production with measurable impact.
• Technical depth to engage AI engineers on prompts, RAG, and models.
• Domain experience in financial services is a strong plus.

Conoscenze

Structured problem framing

Evaluation mindset

Stakeholder translation

Outcome orientation

Descrizione del lavoro

Experience and background

• 4-8 years of product management experience, with at least 2 years owning AI or ML products from problem framing through production deployment - ideally in a fast-moving AI-native organisation (OpenAI, Anthropic, Google DeepMind, or equivalent) or a financial institution with a serious AI product function.
• Demonstrated ability to ship AI products that real users adopt and depend on - not just prototypes or proofs of concept, but production systems with measurable impact and ongoing improvement cycles.
• Sufficient technical depth to engage substantively with AI engineers: able to review and critique prompt architecture, evaluate RAG pipeline design choices, understand the implications of model selection, and participate in evaluation framework design.
• Domain experience in financial services - investment research, portfolio management, operations, or risk - is a strong advantage given the need to deeply understand the workflows this role will be building for.

Skills and capabilities

• Structured problem framer: able to take ambiguous business problems and decompose them into clearly scoped product opportunities with defined success criteria and realistic scope boundaries.
• Evaluation-minded: understands that AI product quality is measured differently from conventional software quality, and has experience designing and operating LLM evaluation frameworks (automated evals, human eval panels, red-teaming).
• Stakeholder translator: equally comfortable in a technical architecture discussion with engineers and a strategic discussion with investment professionals - adjusts vocabulary and framing without losing precision.
• Outcome-obsessed: tracks leading indicators (activation, usage depth, task completion) and lagging indicators (business impact, user confidence, error rate trends) as naturally as breathing - does not conflate shipping features with delivering value.