AI Product Manager

Location: Remote, Indonesia; address: Jakarta, Indonesia

Company

hirify.global is building a proactive AI assistant for conversations, errands, organization, and everyday workflows.

What you will do

• Define end-to-end AI system requirements from model capability through user impact.
• Translate model behavior, data constraints, and evaluation results into product and system decisions.
• Make trade-offs across quality, latency, cost, reliability, and user experience.
• Collaborate 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 and drive fast, safe, reliable execution through clear specifications and feedback loops.

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.
• Experience owning complex technical products and working closely with senior engineers and ML teams.
• Strong judgment in ambiguous, fast-moving environments, with an ability to balance ambition and technical reality.

Nice to have

• Experience shipping AI-heavy consumer products.
• Engineering background or experience as a highly technical product manager.
• Experience defining evaluation metrics for ML systems.
• Strong intuition for AI UX patterns, failure handling, and model limitations.
• Experience in zero-to-one product environments.

Culture & Benefits

• Small, high-talent-density, hands-on team.
• Collective decision-making and rapid execution.
• Focus on balancing high-quality delivery with fast learning.
• Work with a mission to make practical AI benefits available to billions of users.

Hiring process

• Three interviews, with no more than four interviews in total if there is a potential fit.
• Applications are evaluated by technical team members.
• Interviews are conducted virtually and/or onsite, followed by a prompt decision.