Technical Product Manager, AI Systems
RemoteSingapore
Job Summary
Research and define end-to-end AI system requirements from capability to behavior to user impact, translating model constraints and evaluation results into clear product decisions. Make hard trade-offs across quality, latency, cost, and reliability while working with ML, backend, and mobile engineers on system design and iteration. Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback to ensure systems ship quickly, safely, and reliably. Own product quality end-to-end, balancing ambition with technical reality to drive execution with disciplined prioritization.
Required Qualifications
- Strong grounding in computer science fundamentals, including algorithms, data structures, and system design.
- Solid understanding of ML fundamentals and how modern AI systems behave in production.
- Comfort reading, reviewing, and discussing technical design documents.
- Hands-on exposure to AI-powered products, including LLM-based systems.
- Experience working with model evaluation, prompt or pipeline iteration, and feedback loops.
- Strong intuition for model limitations, hallucinations, bias, and drift.
- Significant experience owning complex, technical products end-to-end.
- Proven ability to work closely with senior engineers and ML teams.
- Strong judgment and decision-making ability in ambiguous, fast-moving environments.
- Ability to balance ambition with technical and operational reality.
Desired Qualifications
- Experience shipping AI-heavy consumer products.
- Background as an engineer or highly technical product manager.
- Experience defining evaluation metrics for ML systems.
- Strong intuition for AI UX patterns and failure handling.
- Prior experience in zero-to-one product environments.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.