Engineering Manager, Events Analytics Platform

at Sentry

USD 220,000-450,000 per year

SENIOR

✅ Hybrid

Tech Stack
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3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

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AI ClickHouse @ 7 Communication @ 6 Compliance Distributed Systems @ 4 Mentoring @ 6 Observability @ 3 People Management @ 6 Python @ 6 Rust @ 6 Security Sentry

Details

Sentry provides developer-first observability to over 4 million developers worldwide. The Events Analytics Platform (EAP) team powers how Sentry's event data—including errors, transactions, spans, profiles, replays, and metrics—is stored, queried, and analyzed. The platform also supports Sentry's AI initiative, Seer, and its long-term strategy to become a context assembly and telemetry platform.

As an Engineering Manager on the EAP team, you will lead a group of engineers building and scaling a critical data platform. You will drive architectural evolution, ensure system stability, and mentor a talented team in a highly visible role connected to Sentry's product and platform strategy.

Responsibilities

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 complex analytical queries, dynamic routing across fidelity levels, storage and compute separation, and modern analytical storage patterns.
Ensure EAP supports the workload demands of AI agents and MCP servers.
Guide the unification of event data into EAP and enable fast, complex cross-event querying at scale.
Partner with Product Engineering, Streaming, Production Engineering, Security, and Compliance.
Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence.
Build a healthy, collaborative team culture based on growth, accountability, and inclusion.

Requirements

10+ years of industry experience in software engineering.
4+ years of people management experience, including career development and performance management.
Strong technical background in data platforms, storage systems, or analytical backends such as ClickHouse, Pinot, or Druid.
Experience with distributed systems, query optimization, or scaling data-intensive workloads.
Excellent communication skills and the ability to explain 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.
Interest in mentoring engineers, designing and operating large-scale distributed data systems, solving complex querying and storage challenges, and collaborating cross-functionally.

Benefits

Base salary of $220,000–$450,000 per year.
Employee benefit plans and programs applicable to the position, including incentive compensation, equity grants, paid time off, and group health insurance coverage.
Up to a 25% bonus, according to the compensation summary.
Equal employment opportunities and reasonable accommodations for employees and candidates with disabilities.