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SentrySentrySan Francisco, CA

Engineering Manager, Events Analytics Platform

Lead a team of engineers building and scaling Sentry's critical Events Analytics Platform (EAP) for storing, querying, and analyzing massive event data. Drive architectural evolution, support AI capabilities, and unify telemetry while mentoring engineers and partnering cross-functionally. Requires 10+ years software engineering experience including 4+ years people management.

220k – 295k
Hybrid10+ YOEEngineering Management

About the role

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 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.

Requirements

  • 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.

Nice-to-Haves

  • Proficiency with Python, Rust, or a similar programming language.
  • Familiarity with observability, developer tools, or event-driven systems.

Compensation

  • Base salary range: $220,000 - $280,000.
  • Eligible for incentive compensation, equity grants, paid time off, and group health insurance coverage.

Skills

People ManagementData PlatformsDistributed SystemsQuery OptimizationPythonRustClickHousePinotDruidObservability
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