Horizon Labs – AI Product Management Intern

Horizon Labs is an AI-studio focused on building AI-enabled consumer ventures. We operate like a startup factory with experienced teams, frameworks, and infrastructure and look for real-world problems that have meaningful AI solutions and focus on building within the consumer and healthcare verticals. Our model involves incubating ideas, launching startups, and scaling growth globally.

Job Description

We are seeking an AI Product Management Intern to support discovery and delivery of AI-enabled features and workflows. You will help define user problems, shape requirements, coordinate across functions, and bring structure to ambiguous product questions in a fast-moving environment.

Preferred Qualifications

• Currently pursuing or recently completed a relevant degree, ideally from leading universities such as NUS, NTU, or SMU, while still considering strong candidates from other institutions.
• Strong academic performance, ideally distinction or above, alongside evidence of initiative, ownership, and high-quality execution.
• Comfortable using AI tools beyond simple chat workflows to accelerate research, synthesis, prototyping, and execution support.
• Strong product sense, user empathy, and the ability to write clearly under ambiguity.
• Comfortable working with both technical and non-technical stakeholders across product, design, engineering, and operations.
• Bonus: familiarity with prompt design, evaluation thinking, experimentation, or AI workflow design.

Key Responsibilities

• Support user research, competitor analysis, and product discovery, then synthesize findings into clear recommendations.
• Draft product briefs, user stories, requirements, and prioritization materials with strong attention to clarity and detail.
• Partner with engineering and design to define AI-enabled workflows, quality bars, and release priorities.
• Coordinate execution across teams by tracking dependencies, decisions, updates, and follow-through.
• Track outcomes and iterate based on data, user feedback, and observed product performance.

Why Apply

This is a high-upside role for someone who wants to learn how AI products are actually shaped and shipped — not just imagined — across research, prioritization, execution, and iteration.