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Описание вакансии
Текст:
TL;DR
Product Engineer (React Native) (AI): Building polished mobile experiences for Snowflake's agentic AI products, from design concepts through App Store and Play Store releases, with an accent on React Native, TypeScript, and end-to-end product ownership. Focus on designing scalable mobile architecture, integrating APIs that support AI inference and data retrieval, and delivering reliable features across mobile and web.
Location: Menlo Park, California, United States
Salary: $160K–$230K annually
Company
Snowflake develops data and AI products, including agentic AI tools for enterprise knowledge workers and software developers.
What you will do
- Build and ship production-quality mobile features for Snowflake CoWork and Snowflake CoCo.
- Develop performant, maintainable mobile interfaces with TypeScript and React Native.
- Participate in mobile and frontend architecture discussions, design reviews, and peer code reviews.
- Collaborate with product managers and UX/UI designers to turn requirements into technical tasks and mobile UI components.
- Integrate APIs and support backend services powering AI inference and data retrieval.
- Contribute to the web frontend and use AI coding assistants in daily development.
Requirements
- 2+ years of professional experience building production mobile applications with React Native.
- Strong proficiency in JavaScript, TypeScript, and the modern React ecosystem.
- Knowledge of algorithms, data structures, UI design patterns, and state management.
- Experience with navigation, gesture handling, offline behavior, push notifications, and app store releases.
- Ability to turn design mocks and product specifications into production-quality code.
- Strong communication skills and a BS, MS, PhD, or equivalent practical experience in computer science, engineering, or a related field.
Culture & Benefits
- Work in a fast-moving, experimental environment focused on AI-native product development.
- Collaborate across engineering, product, design, and backend teams.
- Take ownership of features from ambiguous problems through shipped outcomes.
- Build products used by enterprise knowledge workers and software developers.
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