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职位Snowflake

Engineering Manager, Observe Product Backend

Snowflake

Engineering Manager, Observe Product Backend

Snowflake

US-CA-Menlo Park

·

On-site

·

Full-time

·

3w ago

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.

Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster.

Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms.

We are looking for an outstanding software engineering manager to lead and grow a world class team in the product backend area. This team is responsible for building core observability features such as log analytics, metrics, APM, tracing, on top of our novel data platform. You and your team will own the backend portion of one or multiple features in this area, make sure they can solve our customer's pain points, and can also be implemented efficiently and cost effectively with our platform.

IN THIS ROLE YOU WILL:

  • Work with our product team and frontend/UI leaders to define novel and differentiating observability features leveraging the unique capabilities of our data platform.

  • Help your team members understand the product requirements. Break down the tasks and drive execution.

  • Work with engineering leaders in the data platform area to drive improvements to our core data platform.

  • Be responsible for the product feature full-cycle, from design, implementation, all the way to deployment and monitoring.

  • Mentor and coach engineers and make sure they can grow and achieve their fullest potential.

QUALIFICATIONS:

  • Passionate about building product features that solve real customer issues. Enjoy connecting customer requirements with technical capability.

  • Proven record leading a >5 people team shipping product features end-to-end in a fast-paced environment.

  • Deeply technical and not afraid of getting hands dirty and writing code when needed.

  • Experienced working with a large scale data processing platform such as Snowflake, Trino, Click House, etc. Knowledge of the internals of such a system is a strong plus.

  • Experienced building an enterprise-grade SaaS product.

  • Familiarity with the observability space is a strong plus

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

3.9

10条评价

工作生活平衡

3.2

薪酬

4.1

企业文化

4.0

职业发展

3.4

管理层

3.1

72%

推荐给朋友

优点

Innovative and cutting-edge technology

Supportive team and colleagues

Good benefits and compensation

缺点

Fast-paced and high-pressure environment

Heavy workload and long hours

Management and communication issues

薪资范围

2,063个数据点

Senior/L5

Senior/L5 · CONSULTING MANAGER

1份报告

$198,594

年薪总额

基本工资

$171,995

股票

-

奖金

-

$198,594

$198,594

面试经验

6次面试

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