At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Intermediate Software Engineer for our Cortex AI Applications team. This team builds the AI/ML-powered user experiences that enable enterprises to converse with their structured data and extract insights in unprecedented ways — spanning the full product lifecycle from conception through deployment. In this role, you will build scalable, responsive, and intuitive user interfaces at the intersection of AI, data, and enterprise UX.
AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:Contribute to the technical execution and delivery of user-facing frontend features, taking ideas from design concepts to production-ready deployments.
Write clean, performant, and maintainable TypeScript/React code while adhering to engineering best practices.
Actively participate in frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability.
Collaborate closely with product managers and UX/UI designers to convert user requirements into detailed technical tasks and robust UI components.
Monitor, maintain, and optimize the frontend platform’s responsiveness, availability, and user experience.
Partner with backend and cross-functional teams to integrate APIs and support backend services that power AI inference and data retrieval.
Use AI coding assistants (such as Claude Code, Cursor, Codex, or similar tools) as an integral component of your day-to-day software development workflow.
3+ years of professional experience designing and building production web applications.
Actively use AI coding assistants in daily engineering workflows
Strong hands-on proficiency in JavaScript/TypeScript and the modern React ecosystem.
Solid understanding of core computer science fundamentals, including algorithms, data structures, UI design patterns, and state management.
Proven ability to turn design mocks and product specs into production-quality code.
Strong verbal and written communication skills for cross-functional collaboration across engineering, product, and design.
BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent practical experience).
Experience building or shipping LLM-powered applications or conversational user interfaces.
Familiarity with major cloud environments such as AWS, Azure, or GCP.
Prior exposure to data analytics, BI tools, or data visualization frameworks.
Basic understanding of backend services, REST/GraphQL APIs, or systems that serve AI/ML models.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Skills Required
- 2+ years of professional experience designing and building production web applications
- Daily use of AI coding assistants in engineering workflows
- Strong proficiency in JavaScript or TypeScript and the modern React ecosystem
- Understanding of algorithms, data structures, UI design patterns, and state management
- Ability to convert design mocks and product specifications into production-quality code
- Strong verbal and written communication skills for cross-functional collaboration
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience
- Experience building or shipping LLM-powered applications or conversational user interfaces
- Familiarity with AWS, Azure, or GCP
- Exposure to data analytics, BI tools, or data visualization frameworks
- Basic understanding of backend services, REST or GraphQL APIs, or AI/ML model-serving systems
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
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Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with “fair pay” and top-tier total compensation frequently cited for engineering and technical roles.
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Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering.
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Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
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