Full-Time
Cloud-based data warehousing and analytics platform
No salary listed
London, UK
In Person
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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.
Snowflake has introduced dynamic model routing within its Cortex AI Gateway and flagship AI products, alongside expanded access to open-source models. The feature automatically selects the optimal AI model based on task complexity and cost, directing simpler tasks to efficient models whilst reserving frontier models for complex reasoning. Dynamic model routing is integrated across Snowflake CoCo and Snowflake CoWork, and available to third-party AI agents. The company is also adding models including DeepSeek-V4-Flash 0731 and GLM-5.3 to its Cortex AI portfolio. Internal testing showed agents using dynamic routing achieved up to three times greater token efficiency whilst maintaining quality. In separate tests, engineering teams completed pull-requests with 25 per cent greater token efficiency. The features aim to help enterprises reduce AI spending whilst maintaining data governance within Snowflake's platform.
Evolution Analytics has launched WIRE™ for Claims, a Snowflake Native App, on Snowflake Marketplace. The application enables insurance carriers, third-party administrators, and claims organisations to automate claims triage, routing, investigation, and resolution whilst keeping policyholder data within their Snowflake environment. WIRE™ uses Snowflake Cortex AI to provide operational context and AI-powered guidance for claims processing. The platform runs entirely inside a customer's Snowflake account, allowing organisations to leverage native security, governance, and encryption capabilities without moving sensitive data. "Most claims organisations have invested heavily in data, yet many critical claims processes still rely on manual work," said Vince Belanger, founding principal at Evolution Analytics. The application aims to reduce cycle times, improve adjuster productivity, control operational costs, and deliver consistent customer experiences for insurance companies.
Snowflake reported revenue of $4.7 billion for the fiscal year ended 31 January 2026, representing 29.2% growth year-over-year. The cloud data platform provider counted 790 Forbes Global 2000 companies as customers but posted a net loss of $1.3 billion for the period. Verizon generated $138.2 billion in revenue for the year ended 31 December 2025, up 2.5% from the previous year. The telecommunications giant reported net income of $17.2 billion and produced $20.1 billion in free cash flow whilst serving 146.8 million wireless retail connections. The comparison highlights contrasting investment profiles: Snowflake offers high growth potential with significant volatility, whilst Verizon provides steady income through its 5.8% dividend yield but carries substantial debt of $131.1 billion.
Oppenheimer has raised its price target for Snowflake to $400 from $295, citing stronger consumption trends and growing adoption of AI coding agent CoCo. The firm expects product revenue of roughly $1.469 billion, approximately 3% to 4% above consensus, while maintaining its Outperform rating. Analysts said channel checks showed strength across regions and industries, including larger deals and faster migrations. CoCo is helping customers build AI applications whilst encouraging migration of traditional analytics workloads onto Snowflake's platform. In its fiscal first quarter, Snowflake's product revenue grew 34% to $1.33 billion. The company had 779 customers generating over $1 million in trailing-12-month product revenue. Snowflake reports second-quarter results on 2 September.
Snowflake has added Alteryx One to its Snowflake Marketplace, enabling joint customers to work with AI-ready enterprise data using a no-code interface within the Snowflake AI Data Cloud. The integration allows business teams and IT departments to run analysis, workflows, and automation directly inside Snowflake through Alteryx One. The partnership extends Snowflake's ecosystem and aims to support secure, governed, and scalable analytics and AI deployment for enterprise users. Business users can prepare, analyse, and automate workflows where data already sits, whilst technical teams can add code, custom AI models, and advanced tools on top. The move supports Snowflake's positioning as a core data and AI hub beyond just storage and compute, targeting "last mile" analytics where decisions are made from governed data without moving it to separate tools.