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.
The Cortex Apps team is building the future of AI for enterprise data. See our flagship product in action: Talk To Your Data: Snowflake Intelligence Demo
Your work will directly impact how businesses understand and leverage their data. You'll own the full AI engineering lifecycle: design, prompt/tool engineering, evals, deployment, measurement, and optimization. You'll work with a small, high-powered modeling and infrastructure team.
Own features end-to-end for Snowflake Cortex products. Build agentic workflows, NL-to-SQL on semantic layers, search.
Build enterprise-grade context engineering: function calling, tool schemas, guardrails, semantic model-aware prompting for SQL, and verification/repair
Design evals and hillclimb create golden sets, create rubrics and metrics, analyze errors, run experiments to hill climb on the metrics.
Partner with product and infra translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
Lead a team of engineers towards building great products
Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement.
8+ years of experience shipping AI features in production.
Proficiency in programming languages such as Python, Go
Strong communication skills and ability to collaborate effectively in a team environment.
(Optional) Experience working with text2sql, data modeling, data analysis, retrieval systems, and semantic layers is a plus.
Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at scale and want you to join us in building the future of how businesses interact with their data through our Cortex products: Snowflake intelligence, cortex agents, cortex analyst, cortex search
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
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.
