ClickHouse - сильная компания в сфере open-source инфраструктуры данных, а роль дает широкий круг ответственности с понятными задачами продуктовой разработки. Зарплата не указана, поэтому до вложения времени сложно сравнить предложение с рыночной медианой в $210 000.
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Зарплата не указанаШирокая зона ответственностиСовременный стекСфера AIВлияние на продуктУдаленная работа
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Hirify AI/Оригинал
TL;DR
Product Engineer (AI/LLM): Building open-source, user-facing features for Langfuse across React, Next.js, ClickHouse, Python and TypeScript SDKs, with an accent on end-to-end product ownership, developer experience, and data-intensive backends. Focus on designing APIs and interfaces, developing analytics features and data-processing workers, supporting developers, and publishing clear documentation.
Location: Remote in the United States; listed locations are New York, Atlanta, Boston, Charlotte, and Washington D.C.
Company
ClickHouse is a rapidly scaling, globally distributed software company building open-source developer tools and data infrastructure.
What you will do
Own product features end-to-end, from user research and specification through implementation, documentation, and release.
Build across the full stack, including React, Next.js, ClickHouse analytics, Python and TypeScript SDKs, Terraform modules, and data-processing workers.
Speak with users, respond in community channels, and use support conversations to guide product decisions.
Write public documentation for owned features, treating documentation as part of the product.
Present and ship new features during public Launch Weeks.
Requirements
Experience building and shipping user-facing products or features end-to-end.
Experience with TypeScript and React is preferred, alongside exposure to data-intensive backends.
Ability to manage projects independently and develop strong conviction about what to build.
Strong product and developer-experience judgment, including API design, UI details, and clear documentation.
Interest in open-source software and enthusiasm for discussing technical problems with developers.
Computer science or quantitative degree preferred.
Nice to have
Experience with ClickHouse, analytics databases, or complex data visualizations.
Founder or early-stage startup experience.
Contributions to popular open-source projects.
ML/AI experience or familiarity with the LLM framework ecosystem.
Culture & Benefits
Flexible, remote-friendly work environment at a globally distributed company operating in more than 25 countries.
Employer contributions toward healthcare.
Stock options for new team members.
Flexible time off in the United States and generous leave entitlement in other countries.
USD 500 home-office setup budget for remote employees.
Opportunities to meet colleagues at company-wide offsites.
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