Engineering Manager, Events Analytics Platform

Sentry · San Francisco, California · по договорённости

Компания
Sentry
Город
San Francisco, California
Зарплата
по договорённости
Уровень
lead
Формат
full_time
Иностранная компания
нанимает русскоязычных

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 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 do
Grow 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

You'll love this job if you
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

Qualifications
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, ClickHouse, 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 that Sentry reasonably expects to pay for this position is $220,000 to $400,000 USD, plus an annual performance bonus of up to 15% of base salary. A successful candidate’s actual base salary (or hourly wage

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