Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$180к$227кмедиана$256к
49 в выборке
На СНГ рынке: $4.1к/мес ($3.2к - $5.7к)
78
Хорошая вакансия
развернуть
Роль чётко описана и сосредоточена на AI-системах в продакшене, но зарплата не указана, а формат стартапа оставляет вопросы о доходе и стабильности.
Кликните для подробной информации
Зарплата не указанаРабота с AIПонятные задачиФормат стартапа
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Technical Product Manager (AI Systems) (AI/LLM): Defining and improving AI-powered applications for conversations, errands, organizing, and workflows with an accent on model behavior, system reliability, evaluation, and real-world task completion. Focus on balancing quality, latency, cost, safety, and UX while identifying failure modes, designing feedback loops, and driving zero-to-one product execution.
Location: Remote, China; interviews may be conducted virtually and/or onsite.
Company
hirify.global is building proactive AI-native applications for conversations, errands, organizing, and workflows, with a focus on reliable long-running processes, persistent context, and real-world task completion.
What you will do
Define end-to-end requirements for AI capabilities across model behavior, system behavior, and user experience.
Translate model capabilities, evaluation results, and technical constraints into product and system decisions.
Balance quality, latency, cost, reliability, safety, and UX trade-offs.
Work with ML, backend, and client engineers on system design, evaluation, and iteration.
Define evaluation frameworks covering offline metrics, online experiments, and human feedback, and establish quality bars and feedback loops.
Drive execution, identify failure modes, and own product quality, correctness, reliability, usefulness, and user trust.
Requirements
Strong computer science fundamentals and system design skills.
Solid understanding of modern ML and AI systems in production.
Ability to read technical designs, understand architectures, and engage deeply with engineers.
Strong intuition for model limitations, hallucinations, evaluation, and failure modes.
Hands-on experience with AI-powered products, particularly LLM-based systems.
Experience with model evaluation, experimentation, prompting, or AI system iteration.
Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans, with strong judgment under uncertainty.
Highly technical, curious, comfortable going deep, and able to operate with significant ownership in a fast-moving zero-to-one environment.
Strong bias toward shipping, experimentation, learning from real-world usage, and constructive collaboration with engineers and researchers.
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.
Strong intuition for AI UX patterns and failure handling.
Prior experience in zero-to-one product environments.
Engineering background is a strong plus.
Culture & Benefits
Small, high-talent-density, hands-on team with broad ownership.
Fast decision-making, close collaboration, and independent execution.
Emphasis on engineering fundamentals and building exceptional products over process.
Full-time remote role based in China.
Prompt decisions and a streamlined interview process.
Hiring process
Applications are evaluated by technical team members.
Three, and no more than four, interviews are expected if there is a fit.
Interviews are conducted via virtual meetings and/or onsite, followed by a prompt decision.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →