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Menlo Park, California, United States
Hybrid
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 is about empowering enterprises to achieve their full potential, and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology, and careers, to the next level.
About the Role
The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA.
Your work will directly impact how developers and businesses build with 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. What you will do in this role:
Own features end-to-end for Snowflake Cortex Code products. Build agentic workflows, coding harnesses, evaluation pipelines.
Build enterprise-grade context engineering: function calling, tool schemas, guardrails, agent teams, and verification/repair.
Partner with product and infra: translate customer problems into products and experiments. Collaborate with infrastructure teams to productionize improvements.
Work with an elite team of engineers towards building great products
Requirements:
Bachelor’s degree in Computer Science, Engineering, Statistics or a related field. Master’s or higher degree preferred but not a requirement.
5+ years of experience shipping AI features in production.
Proficiency in programming languages such as Python, Typescript, Go
Strong communication skills and ability to collaborate effectively in a team environment.
(Optional) Experience working with data engineering pipelines (dbt, airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
Nice to have
Deep experience with agentic coding tools (e.g. IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
Background in data engineering (dbt, Airflow), data modeling, analytics, retrieval / RAG, or semantic layers — highly relevant for data-centric coding agents.
Prior work on eval harnesses, LLM observability, or safety / guardrails in production.
You may be a particularly good fit if you
Have built and owned complex systems — pipelines, orchestration, or software with substantial state, branching logic, and operational requirements.
Thrive in high-intensity environments with short feedback loops and high standards for rigor.
Take problems to completion independently: you don’t stop at a prototype; you care about production reliability and clear metrics.
Are a power user of modern coding agents and care about turning that intuition into systematic measurement and improvement.
About Snowflake
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 Cortex Code, Cortex agents, Cortex analyst, Cortex search.
Requirements:
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
5+ years of experience shipping AI/ML-backed software in production, including senior-level ownership of technical direction, cross-team delivery, and mentoring.
Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
Exceptional communication skills: crisp write-ups, constructive debate, and ability to influence without authority across engineering and product.
(Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
Nice to have
Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
Prior work on LLM observability, safety/guardrails, or quality systems used as release gates in production.
You may be a particularly good fit if you
Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
Thrive in high-intensity environments with short feedback loops and high standards for rigor.
Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
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