Head of Product (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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