Snowflake
Cloud-based data warehousing and analytics platform
Frontend Software Engineer - Cortex AI Applications
About the job
- At least 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, user interface design patterns, and state management.
- Ability to turn design mockups and product specifications into production-quality code.
- BS, MS, or PhD in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 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 and React code while adhering to engineering best practices.
- Participate in frontend architecture discussions, design reviews, and peer code reviews to ensure code quality and system scalability.
- Collaborate 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 day-to-day software development.
- 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, business intelligence tools, or data visualization frameworks.
- Basic understanding of backend services, REST or GraphQL APIs, or systems that serve AI/ML models.
About the company
Snowflake provides a cloud-based data platform called the Snowflake Data Cloud that lets customers store, process, and analyze large amounts of data. It operates on a pay-per-use model, charging for data stored and for computing power used. The platform is designed to be easy to use and handles many data types, supporting use cases from data warehousing and data lakes to data engineering, data science, and data applications. Snowflake differentiates itself with a cloud-native architecture that separates storage and compute, enabling on-demand scaling for diverse workloads across organizations, from startups to large enterprises. The company’s goal is to offer a scalable, flexible, and accessible data platform that unifies storage, processing, and analytics in one service.
Company Size
10,001+
Company Stage
IPO
Headquarters
Menlo Park, California
Founded
2012
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Simplify's Take
What believers are saying
- Q2 FY2027 product revenue grew 37% to $1.49 billion, the third straight acceleration.
- Snowflake raised FY2027 product revenue guidance to $6.07 billion and operating margin to 14.5%.
- Over 828 customers now spend above $1 million annually; AI products drive half acceleration.
What critics are saying
- AI workloads cut FY2027 product gross margin guidance to 74%, pressuring monetization.
- AWS, Databricks, and Microsoft bundle adjacent data and AI stacks, squeezing Snowflake wins.
- If CoWork and CoCo stall, Snowflake loses its AI growth narrative and valuation support.
What makes Snowflake unique
- June 2026 Summit: CoWork and CoCo made Snowflake an agentic enterprise control plane.
- Horizon Catalog and AI Agent Identity enforce governance at query time across enterprise data.
- Apache Iceberg v3, Datastream, and Openflow reduce migration friction across clouds and lakes.
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Benefits
We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.
A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.
Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.
Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.
Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.
Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.
Growth & Insights and Company News
6 month growth
↑ 3%1 year growth
↑ 2%2 year growth
↑ 3%Transcend has launched its Consent & Preferences Management solution as a Snowflake Native App on Snowflake Marketplace. The app brings Transcend's consent and preference data directly into customers' Snowflake accounts, automatically converting it into enforceable policy. The integration addresses a common challenge: determining whether customer data can be legally used for specific purposes. The app applies governance controls within Snowflake without requiring custom pipelines or SQL knowledge, enabling teams across marketing, privacy, and data to access one unified answer. The native app transforms consent data into row access policies and safe views, enforced at query time. Data stewards gain real-time visibility into which datasets are governed, with one-click remediation for gaps. TextNow is already using the solution, with Head of Platform and Security Engineering Andrew Cotton noting it reduces implementation time from weeks to hours.
Snowflake's stock has surged approximately 50% since late December 2024, outpacing the S&P 500's 13% gain. The data platform company reported its third consecutive quarter of accelerating product revenue growth, reaching 37% year-over-year in fiscal Q2 2027. Management attributes this growth to customers running AI workloads on Snowflake's platform, particularly through its CoWork conversational interface, which now serves over 9,100 accounts. However, Snowflake cut its fiscal 2027 non-GAAP product gross margin outlook to 74%, citing lower contribution margins from AI workloads. To offset these increased cloud costs, the company raised its operating margin guidance to 14.5% by slowing headcount expenses. With a market value of $117.6 billion against $5.43 billion in trailing twelve-month revenue, Snowflake trades at roughly 22 times sales. Management targets reaching reported profitability in fiscal Q4 2028.
Snowflake Ventures and AT&T Ventures have invested $22.5M in RelationalAI to accelerate the next stage of enterprise Decision Intelligence. The funding supports deeper integration with Snowflake Intelligence and expands delivery to joint customers like AT&T, advancing trusted, explainable AI that runs directly inside the Snowflake AI Data Cloud.
Snowflake's AI-powered data cloud platform is outperforming Palantir this year, with shares up 53% compared to Palantir's 4% decline. The company added 692 net new customers in Q2 of fiscal 2027, a 32% year-over-year increase, bringing its total to over 14,500 customers. Snowflake's AI tools, including the CoWork personal agent and CoCo AI coding assistant, are driving growth. Over 5,800 customer accounts use CoWork, whilst more than 9,100 use CoCo. The company reported 35% revenue growth to $1.55 billion last quarter. Earnings per share jumped 77% year over year to $0.62, beating the consensus estimate of $0.45. A McKinsey survey found that 80% of AI users report higher productivity, helping explain strong demand for AI software solutions.
Snowflake reported its fiscal 2027 second-quarter results on Wednesday, with shares jumping more than 20% in extended trading. The data cloud specialist posted a third consecutive quarter of accelerating growth, reaching $1.49 billion in product revenue, up 37% year over year. Management raised its full-year product revenue guidance to $6.07 billion, representing 36% year-over-year growth. This marks the second guidance increase this year, up from an initial forecast of 27% growth. The company also lifted its full-year adjusted operating margin outlook to 14.5% from 13.5%. Net revenue retention rate held steady at 126% for the second consecutive quarter. Chief financial officer Brian Robins attributed the acceleration to strength in the core data platform and meaningful growth in artificial intelligence revenue. Remaining performance obligations reached $9.00 billion, up 30% year over year.