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2 месяца назад

Head of Product (AI)

Формат работы
remote (только Indonesia)
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Indonesia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Head of Product (AI): Driving the end-to-end product strategy for a proactive AI chat application with an accent on technical feasibility, model capabilities, and real-world task completion. Focus on making trade-offs across latency, quality, and cost while iterating on LLM-based systems in a fast-paced production environment.

Location: Remote, Indonesia (Jakarta)

Company

hirify.global is building intelligent, proactive AI solutions designed to assist users with everyday tasks and complex, long-running workflows.

What you will do

  • Define the AI product strategy grounded in technical constraints and user needs.
  • Collaborate daily with ML, backend, and mobile engineers on iteration and evaluation cycles.
  • Make high-stakes decisions regarding latency, reliability, and cost-efficiency.
  • Establish success metrics and feedback loops including online experiments and offline evaluations.
  • Ensure AI-driven features are shipped rapidly and safely into production.
  • Own the overall product quality, focusing on user experience, system accuracy, and outcomes.

Requirements

  • Strong foundation in computer science and system design principles.
  • Solid understanding of ML fundamentals and how AI systems function in production.
  • Significant experience owning complex, technical products end-to-end.
  • Hands-on experience with LLM-based systems, prompt iteration, and model evaluation.
  • Proven ability to bridge the gap between engineering complexity and user value.
  • Must be based in or able to work from Indonesia.

Nice to have

  • Background in engineering or highly technical product management.
  • Experience shipping AI-heavy consumer products from zero to one.
  • Strong intuition for AI UX patterns and failure handling.
  • Experience defining evaluation metrics for ML pipelines.

Culture & Benefits

  • Work in a high-talent density, hands-on environment.
  • Collaborative decision-making culture with a focus on rapid speed.
  • Opportunity to contribute to a product aimed at billions of global users.
  • Emphasis on transparency, efficiency, and autonomy.

Hiring process

  • Application review by the technical team.
  • 3 to 4 interviews conducted virtually or on-site.

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