Engineering Manager, Data Platform
Listed on 2026-07-22
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Software Development
Software Architect, Backend Developer, Software Engineer
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 roleSentry provides developer-first observability to over 4 million developers worldwide. The Events Analytics Platform (EAP) team is at the heart of that mission: it powers how all of Sentry's event data, such as errors, transactions, spans, profiles, replays, and metrics, is stored, queried, and analyzed. It also powers Sentry's latest AI push, Seer.
The EAP team makes it possible for developers to efficiently search and debug across massive volumes of data, providing the context needed to understand and fix issues quickly. This team is also a cornerstone of Sentry's long‑term strategy to become a context assembly and telemetry platform that unifies different signals so developers can see the complete picture.
As an engineering manager on the EAP team, you will lead a group of engineers building and scaling one of Sentry's most critical data platforms. You will be responsible for driving architectural evolution, ensuring system stability, and mentoring a talented team. This is a highly visible leadership role with direct ties to Sentry's long‑term product and platform strategy.
What you'll doGrow and develop a team of engineers with high expectations for ownership and impact
Set the technical and strategic direction for the team, balancing short‑term stability with long‑term architectural evolution
Drive development of core EAP features, including support for complex analytical queries, dynamic routing logic across fidelity levels, storage and compute separation, and modern patterns for analytical storage
Ensure EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry
Guide the unification of all event data into EAP and enable fast, complex cross‑event querying at scale
Partner closely with cross‑functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance
Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence
Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion
Enjoy mentoring and developing engineers, especially helping junior engineers grow into senior roles
Get excited by designing and running large‑scale distributed data systems where performance and reliability matter
Are passionate about tackling the challenges of continuously scaling as Sentry's traffic grows
Like tackling complex querying and storage challenges at massive scale
Thrive on cross‑functional collaboration with product and infrastructure teams
Want to work on a highly strategic team with significant visibility that shapes the future of Sentry’s platform
10+ years of industry experience in software engineering, including 4+ years of people management experience with career development and performance management
Strong technical background in data platforms, storage systems, or analytical backends (for example, Click House, Pinot, or Druid)
Experience with distributed systems, query optimization, or scaling data‑intensive workloads
Excellent communication skills with the ability to clearly articulate technical concepts to diverse audiences
Proficiency with Python, Rust, or a similar programming language is a plus
Familiarity with observability, developer tools, or event‑driven systems is a plus
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $350,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job‑related knowledge. A successful candidate will be eligible to participate in…
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