
The Data Cloud.
Staff AI Engineer - Cortex Code Quality
必須スキル
Python
TypeScript
Go
Airflow
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.
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 https://www.youtube.com/watch?v=YLGL0MU5AXQ.
As a Staff AI Engineer on Cortex Code Quality, you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient, repeatable, auditable, and shippable. You’ll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust.
What you will do in this role:
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Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.
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Hill-climb infrastructure: Design and evolve pipelines and tooling that support large-scale experimentation, error mining, and iteration on prompts/tools/workflows with clear before/after signals.
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Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.
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Cross-functional leadership: Align product, infra, and applied AI on what “good” means for critical customer workflows; mentor engineers and uplevel eval craft across the team.
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Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.
Requirements:
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Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.
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8+ years of experience shipping AI/ML-backed software in production, including Staff-level ownership of technical direction, cross-team delivery, and mentoring.
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Strong track record building and operating eval harnesses, measurement, and/or experimentation loops for LLM/agent systems—not only one-off benchmarks.
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Proficiency in programming languages such as Python, TypeScript, Go (strong in at least two).
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Exceptional communication skills: crisp writeups, constructive debate, and ability to influence without authority across engineering and product.
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(Optional) Experience with data engineering pipelines (dbt, Airflow), data modeling, data analysis, retrieval systems, and semantic layers is a plus.
Nice to have
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Deep experience with agentic coding tools (IDE agents, CLI agents) and intuition for model strengths, failure modes, and prompting limits.
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Background in data engineering (dbt, Airflow), analytics, retrieval / RAG, or semantic layers—highly relevant for data-centric coding agents.
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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
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Have built and owned complex quality + data pipelines—substantial state, branching logic, and operational requirements.
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Thrive in high-intensity environments with short feedback loops and high standards for rigor.
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Take ambiguous “quality is slipping” problems to completion: you care about clear metrics, reproducibility, and sustained improvement—not one-off score bumps.
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Are a power user of modern coding agents and care about turning intuition into systematic measurement and team-wide practice.
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 https://www.snowflake.com/en/product/features/cortex-code/, Cortex agents https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-agents, Cortex analyst https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-analyst, Cortex search https://docs.snowflake.com/en/user-guide/snowflake-cortex/cortex-search/cortex-search-overview.
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 http://careers.snowflake.com
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Snowflakeについて

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
従業員数
Zürich
本社所在地
$70B
企業価値
レビュー
10件のレビュー
3.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.5
企業文化
4.2
キャリア
3.2
経営陣
3.1
72%
知人への推奨率
良い点
Innovative/cutting-edge technology
Supportive team and colleagues
Great learning opportunities and training programs
改善点
Fast-paced/overwhelming environment
Heavy workload and long hours
High pressure to perform
給与レンジ
2,067件のデータ
Senior/L5
Senior/L5 · CONSULTING MANAGER
1件のレポート
$223,593
年収総額
基本給
$171,995
ストック
-
ボーナス
-
$223,593
$223,593
面接レビュー
レビュー6件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Online Assessment
3
Technical Phone Screen
4
Technical Interview
5
Final Interview Round
よくある質問
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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