APPLICATION EXPERIENCES


The AppEx team defines how customers experience the AI Data Cloud. We create intuitive, high-impact experiences grounded in strong design, reliability, and a platform mindset, enabling engineers to ship visible work and shape the foundation other Snowflake teams rely on. 

MEET the teams


Check out the teams behind the scenes in Bellevue, Menlo ParkToronto, and Warsaw.
Cortex Code Complex data work, simplified. Cortex Code (CoCo) brings agentic development to Snowflake, turning prompts into Streamlit apps, notebooks, pipelines, and SQL with precise, production-ready output. We build the frameworks that power these AI-driven experiences across Snowflake’s interfaces, helping data engineers, analysts, and ML practitioners build faster with natural language rather than code.
Developer Platform
Behind every rock-solid Snowflake integration is the Platform team. We shape the connectivity, tooling, and docs that make building on Snowflake feel simple and reliable — standardizing how developers and AI connect, test, and ship changes so production stays fast, safe, and boring (in the best way).
Notebooks

Where data meets development, cell by cell. Snowflake Notebooks blends Python, SQL, and Markdown into a unified, GPU-ready environment built for analytics, AI, and production workflows. We obsess over scalable compute, seamless Git collaboration, and AI-assisted productivity so data teams can move from exploration to execution without switching tools.
Product Experiences Platform
Behind every polished Snowflake interface is the Product Experience (PE) Platform team. We design the shared UI architecture, component libraries, micro frontend systems, and observability frameworks that make our products consistent, performant, and secure at scale — turning frontend engineering into a force multiplier across the company.
Snowpark Container Services
SPCS engineers build the Kubernetes-powered runtime that brings AI, ML, and application workloads directly into the AI Data Cloud, complete with GPU-backed compute, multi-cloud orchestration, and secure runtime controls. If running distributed systems close to the data sounds like your kind of challenge, this is that kind of team.
Streamlit
From quick demo to enterprise deployment, our team powers interactive data and AI apps used by hundreds of thousands of developers worldwide. Continuous performance tuning, runtime evolution, and enterprise hardening transform open-source simplicity into production-grade capability inside Snowflake.
Native Apps Native Apps powers the Snowflake Native App Framework, giving developers the infrastructure to build, distribute, and monetize data-intensive applications directly through the Snowflake Marketplace. Secure sandboxing, scalable compute, and seamless operations enable providers like Kumo AI, LandingAI, and RelationalAI to run analytics, AI, and ML workloads where the data already resides.
Workload Experiences
We build the intelligent applications customers rely on to govern, secure, analyze, and optimize their Snowflake environments every day. By blending sharp product thinking with AI-driven acceleration, we create interfaces that surface complex insights and make operating the AI Data Cloud feel more intuitive and actionable. 
Workspaces
The fastest path from idea to query starts in your IDE. Workspaces engineers build deep integrations for VS Code, PyCharm, and the Snowflake CLI, delivering secure authentication, project scaffolding, autocomplete, and pipeline tooling that remove setup friction entirely. It’s developer tooling done right — fewer hoops, faster iteration, stronger foundations.

GET TO KNOW US

Product-driven and built for impact, AppEx is where engineers take ownership of the experiences customers rely on every day. We value strong design, deep collaboration, and a platform mindset—holding a high bar for quality, reliability, and scale. Teams move fast, think big, and continuously push how great software should feel and perform.
"What I like about our team is the scale of the problems we get to work on and how much they matter. You’re not just building features — you’re working on foundational systems that power the Snowflake experience. Engineers are trusted with real ownership and drive work end-to-end across teams. It’s a great place to grow and work on systems that have real impact."

CHLOE LEE

Staff Software Engineer
Toronto, Canada
ChloeLeeAppEX
"I joined Snowflake to lead at the intersection of massive-scale data and the next frontier of generative AI. What keeps me here is our culture of deep technical ownership; I’m proud to empower engineers with the autonomy to build the very core services that power the global data economy."

MOHIT GUPTA

Sr. Director of Engineering
Menlo Park, CA
Mohit Gupta
"On the AppEx Platform team, I help power every rock-solid Snowflake integration. We shape the connectivity, tooling, and docs that make building on Snowflake feel simple and reliable—standardizing how developers and AI connect, test, and ship changes so production stays fast, safe, and 'boring' (in the best possible way) for customers around the world every day."

ANTONI KOZIELEWSKI

Principal Software Engineer I
Warsaw, Poland
"Building AI features for Snowflake’s enterprise customers is an enriching experience. The scale of the engineering and the impact of the product are truly groundbreaking. It’s a great place to collaborate, build, and solve deep engineering problems with top industry talent."

ABHINAV MISHRA

Software Engineer
Menlo Park, CA

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Snowflake is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.