A
Posted 12 hours ago
Technical Product Manager, AI Systems
A1Technical Product Manager, AI Systems
Requirements
Computer science fundamentals, ML fundamentals, LLM-based systems experience, Technical product ownership, System design knowledge
Skills
AILLMMachine Learning
About the role
About the Company
A1 is on a mission to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows. The product focuses on high reliability for long-running workflows, persistent context, and real-world task completion using multi-step reasoning and external tool interaction.
Responsibilities
- Research and define end-to-end AI system requirements from capability to behavior to user impact
- Translate model capabilities, data constraints, and evaluation results into clear product and system decisions
- Make hard trade-offs across quality, latency, cost, reliability, and UX
- Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration
- Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback
- Drive execution with clear specs, strong judgment, and disciplined prioritization
- Ensure systems ship quickly, safely, and reliably, with strong feedback loops
- Own product quality end-to-end, including correctness, predictability, and user trust
Requirements
- 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
- Hands-on exposure to AI-powered products, including LLM-based systems
- Experience working with model evaluation, prompt or pipeline iteration, and feedback loops
- Significant experience owning complex, technical products end-to-end
- Proven ability to work closely with senior engineers and ML teams
- Strong intuition for model limitations, hallucinations, bias, and drift
Preferred 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
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A1 · Singapore
