AI Product Manager

Location: Remote, Singapore

Company

hirify.global is building a proactive smart assistant that brings AI capabilities to everyday conversations, errands, organization, and workflows.

What you will do

• Define end-to-end AI system requirements, from model capabilities and behavior to user impact.
• Translate model capabilities, data constraints, and evaluation results into product and system decisions.
• Balance quality, latency, cost, reliability, and user experience in technical product trade-offs.
• Partner with ML, backend, and mobile engineers on system design, evaluation, and iteration.
• Define evaluation frameworks using offline metrics, online experiments, and human feedback.
• Own product quality, including correctness, predictability, reliability, and user trust.

Requirements

• Strong computer science fundamentals, including algorithms, data structures, and system design.
• Solid understanding of machine learning fundamentals and modern AI systems in production.
• Hands-on experience with AI-powered products, including LLM-based systems.
• Experience with model evaluation, prompt or pipeline iteration, and feedback loops.
• Significant experience owning complex technical products end-to-end and collaborating with senior engineering and ML teams.
• Strong judgment in ambiguous, fast-moving environments, with the ability to balance ambition and technical and operational constraints.

Nice to have

• Experience shipping AI-heavy consumer products.
• Background as an engineer or highly technical product manager.
• Experience defining evaluation metrics for ML systems.
• Experience with AI UX patterns, failure handling, and zero-to-one product environments.

Culture & Benefits

• High-talent-density, hands-on team focused on rapid execution and high-quality delivery.
• Collective decision-making with an emphasis on structure, independent execution, and sound judgment.
• Fast iteration based on real user feedback and disciplined prioritization.
• Virtual and/or onsite interviews with a prompt hiring decision.

Hiring process

• Three, and no more than four, interviews if there is an apparent fit.
• Applications are evaluated by technical team members.
• Interviews are conducted via virtual meetings and/or onsite.