Remote
US
$195K–$255K
⚙️Operations
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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.
Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.
As a Senior Web Platform Engineer, you are a hands-on, full-stack individual contributor and a driving force behind Snowflake's global corporate website — a high-traffic, public-facing platform built on Adobe Experience Manager (AEM) Cloud with server-side rendered React. You move fluidly between frontend and backend, bringing deep expertise across React, TypeScript, Java, and AEM's content platform, and you thrive at building fast, accessible, and scalable web experiences that drive engagement and conversion.
You're joining a team that is actively redefining what a website — and a web team — looks like in an AI-native world. We don't just use AI coding assistants. We're building and deploying autonomous AI agents across our entire workflow: agents that build pages, agents that run QA, agents that manage translations, agents that generate structured data and optimize content at scale. And we go further than most — we're actively integrating Snowflake's own AI products directly into the website, creating a bi-directional relationship between the platform and the product. If the idea of working alongside AI teammates, shipping AI-powered web experiences, and using the product you're helping market excites you as much as it excites us, this is the role.
You operate with a product mindset, balancing technical excellence with business impact, and you're energized by the challenge of modernizing a large-scale platform while simultaneously pioneering new ways of working with AI. On a small, high-impact team, you wear many hats — writing code one hour and leading a cross-functional meeting the next. You are comfortable mentoring vendor and global engineering partners and influencing outcomes through technical leadership and collaboration.
This role reports to the Senior Manager, Web Engineering and sits within the Global Web team as part of the Brand Marketing organization.
Collaborate with vendor and global engineering partners, providing technical direction and code reviews to ensure quality and consistency.
The Snowflake web team is a tight-knit, dynamic group responsible for shaping the future of the Snowflake brand — and we're rewriting the playbook on how web teams operate in an AI-first world. We're scaling our team to help enable and accelerate our growth, and we're looking for engineers who see AI not as a buzzword but as a fundamental shift in how great websites get built. If you want to work on a team that ships production AI agents alongside production web experiences, and you want to play a part in creating a global iconic brand, we want to hear from
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
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
USD 208,000 - 299,000
Annually
Health Insurance
Dental Insurance
Vision Insurance
Pet Insurance
Life Insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Mental Health Benefits
Employee Assistance Program
Fitness Stipend
Wellness Programs
401(k) / Retirement Plan
Employee Stock Purchase Plan
Equity / RSUs
Performance Bonus
Parental Leave
Adoption Leave
Fertility Benefits
Unlimited PTO
Learning & Development Budget
It is structured hybrid. Most roles are tied to a specific office and expect roughly three days a week on-site, and around three-quarters of open jobs are office-anchored. A minority of roles are explicitly tagged remote, but there is no company-wide remote policy, so eligibility is decided role by role.
Roles are location-specific and spread across more than 25 countries, including the US, UK, Australia, India, Germany, Poland, Canada, Japan, France, and Singapore. The heaviest concentration of jobs sits in US hubs such as Menlo Park and Bellevue, plus London. Positions are city- or country-locked rather than work-from-anywhere.
Snowflake offers a 401(k) and a Roth 401(k) option, but it does not provide an employer match. This is worth factoring into total compensation, since the package leans heavily on equity and bonus rather than retirement matching.
Compensation is geography-based and certified by Fair Pay Workplace, an external pay-equity auditor. Cash is paired with substantial equity through new-hire grants, an Employee Stock Purchase Plan, and a quarterly bonus or commission program, with RSUs vesting over four years.
Highlights include unlimited PTO, generous parental leave (26 weeks maternity, 12 weeks paternity) with adoption and fertility support, an HSA with employer contribution, on-demand mental health and wellness programs, and ergonomic work-from-home equipment provided globally.
It suits data and AI engineers, data scientists, and product people who want to work across the full data lifecycle at large scale and value equity-heavy pay. Sales roles are numerous and well-compensated, though reviewers there report more pressure and crunch than in engineering.
Pay Transparency
Commuter Benefits
Sick Days
Military Leave
Paid Holidays
Bereavement Leave
Company Equipment
Free Snacks & Drinks
Employee Product Discount
Employee Resource Groups
