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Staff Product Manager (High Performance Data Infrastructure)
JetBrains — топовый работодатель с сильной инженерной культурой. Позиция Staff уровня предполагает высокую степень влияния на стратегический продукт компании, работу с передовыми технологиями (AI/ML) и конкурентную компенсацию в европейском хабе.
Сложность вакансии
Роль требует редкого сочетания глубоких технических знаний в области AI/ML инфраструктуры и стратегического продуктового мышления уровня Staff. Кандидат должен свободно владеть кодом, понимать архитектуру данных и уметь влиять на топ-менеджмент в международной среде.
Анализ зарплаты
Для позиции уровня Staff Product Manager в Амстердаме рыночный диапазон составляет от 110,000 до 160,000 евро в год. JetBrains обычно предлагает конкурентоспособные зарплаты, соответствующие верхней границе рынка, дополненные бонусами и пакетом релокации.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Product Manager position for High Performance Data Infrastructure at JetBrains. With over five years of experience in B2B cloud-enabled AI products and a deep technical background in data orchestration, I am excited by the prospect of building the data layer for your AI-native enterprise platform. My experience in API-first product thinking and developing scalable usage models aligns perfectly with your vision for a coherent system that bridges developer workflows and organizational control.
Throughout my career, I have focused on translating complex technical capabilities into tangible business value for enterprise customers. I am particularly impressed by JetBrains' commitment to an AI-native future and would welcome the opportunity to apply my expertise in deep learning concepts and data-driven decision-making to drive your product roadmap. I am a long-time user of JetBrains tools and am eager to contribute to the PM community while mentoring others in this highly technical domain.
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Описание вакансии
At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.
The Staff Product Manager will own the data infrastructure layer for our enterprise offering. The layer is responsible for capturing, normalizing, and surfacing usage, orchestration, running in the customer’s cloud of choice.
In this context, we are seeking an experienced Senior Product Manager to help us push the boundaries of what’s possible and provide value to our users.
Key responsibilities:
- Understanding enterprises deeply with a focus on using AI through the lifecycle.
- Defining and delivering the data infrastructure layer as part of the enterprise agent orchestration offering.
- Defining and driving the product roadmap on key enterprise features aimed at tech managers.
- Defining, communicating, and driving toward outcomes that align with the product vision and OKRs.
- Staying proactively aware of competitors and what is state-of-the-art in ML/AI.
- Understanding and partnering with AI ecosystem providers as appropriate.
- Increasing decision-making velocity using data, intuition, and judgment.
- Mentoring and participating in the broader JetBrains PM community.
- In this role, you will:
- Identify and pursue key business opportunities, including target markets, personas, and durable needs.
- Drive the product vision, roadmap, and execution to achieve business outcomes.
- Set OKRs and take ownership for their completion.
- Collect, analyze, and act on customer feedback to bring about continued improvement.
- Define, measure, and monitor product metrics to iterate toward user outcomes.
- Generate, prioritize, and test product hypotheses.
- Work closely with stakeholders to ensure products are launched, adopted, and used.
We’ll be happy to have you on our team if you:
- Have 5+ years of experience in product management working on B2B cloud-enabled AI products
- Strong background in data with the ability to structure scalable, flexible, and transparent pricing or usage models.
- Demonstrated API-first product thinking, ensuring seamless integration, extensibility, and developer-centric design from the ground up.
- Have hands-on experience developing product metrics and making data-driven decisions.
- Are comfortable reading/writing code, using the command line, and version control systems (e.g. Git).
- Are comfortable working in a highly technical domain, which includes deep learning concepts.
- Are proficient in English with the comfort and ability to influence executives.
- We’ll be especially thrilled if you:
- Have previously built, launched, and grown AI-based products.
- Are excited about AI, both technically and in terms of user applications.
- Have previously used async agents and AI-based CLI tools in your day-to-day work.
#LI-DNI
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Навыки
- Product Management
- AI
- Machine Learning
- Data Infrastructure
- API Design
- Git
- Cloud Computing
- B2B
- Data Analysis
- Roadmapping
- OKRs
Возможные вопросы на собеседовании
Проверка опыта работы с API-first подходом, который критичен для инфраструктурного продукта.
Расскажите о случае, когда вам приходилось проектировать API как основной продукт. Как вы балансировали между гибкостью для разработчиков и простотой интеграции?
Оценка способности создавать коммерчески эффективные модели данных.
Как бы вы подошли к разработке модели тарификации на основе использования (usage-based pricing) для инфраструктуры данных AI-агентов?
Проверка технической глубины в области AI.
С какими основными проблемами масштабирования инфраструктуры данных вы сталкивались при внедрении LLM-решений в энтерпрайз-сегменте?
Оценка навыков приоритизации в сложной среде.
Как вы приоритизируете задачи в дорожной карте, когда сталкиваетесь с конфликтующими требованиями от внутренних команд разработчиков и внешних корпоративных клиентов?
Проверка лидерских качеств и менторства.
Опишите ваш опыт развития PM-сообщества внутри компании. Как вы помогаете младшим коллегам расти в технически сложных доменах?
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