Full-Time
Cloud-based data warehousing and analytics platform
$176k - $230k/yr
Company Historically Provides H1B Sponsorship
Bellevue, WA, USA
In Person
PhD
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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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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.
Spotfire has launched Push Compute on the Snowflake AI Data Cloud, enabling organisations to run advanced industrial data transformations and calculations at scale directly on Snowflake. The integration allows analysis of larger datasets and unlocks novel industrial analytic applications. The technology enables engineers and scientists to develop repeatable analytical workflows that compute over larger data volumes than previously possible. Users can visually orchestrate dynamic data transformations and Snowpark computations without moving data, whilst maintaining Spotfire's agile data exploration experience. The collaboration targets customers in manufacturing and energy sectors, particularly those migrating large-scale data to Snowflake. Use cases include advanced geological and well log analyses in oil and gas, field development, production optimisation, asset valuation, and operational excellence.
Alteryx has launched Alteryx One on Snowflake Marketplace, enabling joint customers to build governed, AI-ready workflows directly on Snowflake data. The integration allows business teams to prepare, analyse, automate, and apply AI to enterprise data without moving it, reducing complexity whilst maintaining governance. Alteryx One provides a no-code experience for business users to analyse Snowflake data, apply business rules, and automate workflows. Technical teams can extend these workflows with code and custom AI models whilst maintaining enterprise governance and end-to-end lineage. The platform is designed to make analytics lifecycles visible, understandable, repeatable, and auditable. More than 8,000 customers globally rely on Alteryx to automate analytics and drive data-driven decisions.
Snowflake has joined Cursor's Benchmark Partners Program alongside AWS, Databricks, NVIDIA, and others to support enterprise AI adoption. The programme aims to provide a reference stack addressing governance, infrastructure, and deployment challenges for large organisations implementing AI systems. The partnership positions Snowflake as part of a broader enterprise AI stack rather than a standalone data warehouse. It highlights the company's role in standardising how enterprises build and scale AI on modern data platforms. The development reflects increasing demand from large customers moving beyond AI pilots into broader deployments. For investors, the collaboration clarifies Snowflake's position within the evolving AI and data ecosystem as reference architectures continue to form. Snowflake currently trades at $293.28, close to its analyst target of $298.23, though the company remains loss-making with a negative net income margin.
Wells Fargo has set a $500 price target for Snowflake, the highest on Wall Street, representing 85% upside from the July 28 close of $270.36. The bank upgraded its view after determining that AI is driving increased spending on Snowflake's platform rather than threatening it. Analyst Ryan MacWilliams cited a customer survey showing businesses are uploading more data to Snowflake to feed AI systems, whilst product usage climbs. This contradicts earlier fears that AI agents would undermine software-as-a-service models by replacing human users. Snowflake reported first-quarter revenue of $1.39 billion, up 33% year-on-year, with remaining performance obligations climbing 38% to $9.21 billion. The stock has risen 24.76% year-to-date. Competition from Databricks and Snowflake's 127 times forward earnings multiple present key risks to the bullish outlook.
Linx Security has integrated with Snowflake to address security challenges posed by AI agents in enterprise environments. The integration enables security teams to monitor and control access as companies increasingly grant autonomy to third-party AI agents. The partnership aims to close an identity risk gap that existing security tools were not designed to address. As enterprises delegate more tasks to AI agents, traditional security infrastructure struggles to provide adequate oversight and control of these automated systems. The integration allows organisations to connect, monitor, and manage AI agent access to their systems more effectively, providing a solution specifically built for the emerging challenges of agentic AI deployment.