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Engineering Manager, Data Platform

Sentry

Engineering Manager, Data Platform is a still-open role at Sentry on Jobrow. Location: Hybrid · San Francisco, California · San Francisco · California · United States. Listed pay: $220k–$400k. Sourced from the company's public Ashby board. First seen 1 hour ago; last confirmed 1 hour ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$220k–$400k
Workplace
Hybrid
Location
San Francisco, California · San Francisco · California · United States
First seen
1 hour ago
Last seen
1 hour ago
Board
Ashby
Apply

About this role

ABOUT SENTRY Software runs the world and the pace is faster than ever.

  • Function: Infrastructure
  • Seniority: manager

Location & pay

Hybrid · San Francisco, California · San Francisco · California · United States Listed pay on Jobrow: $220k–$400k.

Source

Jobrow reads the public Ashby board for Sentry. First seen 1 hour ago; last seen 1 hour ago. We are not the employer — apply only on the company ATS.

Posting

ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry helps over 4 million developers understand and resolve issues in their applications. Behind every error, performance trace, replay, and log is a large-scale data platform responsible for storing, querying, and analyzing massive volumes of telemetry data. We're looking for an Engineering Manager to lead our Events Analytics Platform (EAP) team, which builds and operates the distributed data systems powering Sentry's products. The team manages petabytes of data and develops high-performance analytical infrastructure using technologies like ClickHouse, enabling fast, complex queries across billions of records. As Sentry grows, so do the technical challenges. The team is evolving its storage and query infrastructure to support increasing data volumes, more complex analytical workloads, and unified access to different types of telemetry data. EAP also provides the data foundation for Seer, Sentry's AI-powered debugging agent, enabling AI systems to access the production context needed to investigate and resolve issues. In this role, you'll lead a team of engineers tackling complex distributed systems challenges while balancing architectural improvements with the reliability and performance of production systems. You'll bring strong technical judgment, guide engineering decisions, and work closely with product engineering teams to build capabilities that directly impact the developer experience. This is an opportunity to lead a critical part of Sentry's infrastructure, solve challenging problems at scale, and shape how developers and AI-powered tools interact with application data. WHAT YOU'LL DO - Lead and develop a team of engineers working on large-scale distributed data systems, fostering technical excellence, ownership, collaboration, and professional growth. - Drive technical execution and architectural decisions across EAP's storage and query infrastructure, balancing scalability, reliability, performance, and long-term maintainability. - Build and evolve analytical data systems supporting complex queries, high-throughput workloads, and efficient access to petabyt

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