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.

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, ClickHouse, 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

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

Engineering Manager, Observe Product Backend