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Snowflake
Snowflake

The Data Cloud.

Staff AI Engineer - Cortex Code Quality

职能工程
级别Staff+
地点US-CA-Menlo Park
方式现场办公
类型全职
发布1个月前
立即申请

必备技能

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:

  • Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior to engage on next generation agentic coding tasks.

  • 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.

  • Deep analysis & prioritization: Lead postmortems on quality regressions; cluster failure modes; translate findings into a prioritized roadmap for engineering and modeling partners.

  • 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.

  • Production-minded rigor: Ensure quality systems are dependable in practice—reproducible runs, stable datasets, versioning, and operational clarity when things drift.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher preferred but not a requirement.

  • 8+ years of experience shipping AI/ML-backed software in production, including Staff-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 writeups, 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.

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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关于Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

员工数

Zürich

总部位置

$70B

企业估值

评价

10条评价

3.9

10条评价

工作生活平衡

2.8

薪酬

3.5

企业文化

4.2

职业发展

3.2

管理层

3.1

72%

推荐率

优点

Innovative/cutting-edge technology

Supportive team and colleagues

Great learning opportunities and training programs

缺点

Fast-paced/overwhelming environment

Heavy workload and long hours

High pressure to perform

薪资范围

2,067个数据点

Senior/L5

Senior/L5 · CONSULTING MANAGER

1份报告

$223,593

年薪总额

基本工资

$171,995

股票

-

奖金

-

$223,593

$223,593

面试评价

6条评价

难度

3.0

/ 5

时长

14-28周

面试流程

1

Application Review

2

Online Assessment

3

Technical Phone Screen

4

Technical Interview

5

Final Interview Round

常见问题

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR