SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 220,000 - 450,000 / annual
Sentry is an application monitoring platform trusted by 200,000+ organizations and 4 million developers worldwide. The Events Analytics Platform (EAP) team is central to Sentry's mission, powering how all event data—errors, transactions, spans, profiles, replays, and metrics—is stored, queried, and analyzed. The EAP team also powers Sentry's AI initiatives, including Seer.
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.
Key responsibilities include:
- Growing and developing a team of engineers with high expectations for ownership and impact
- Setting technical and strategic direction for the team, balancing short-term stability with long-term architectural evolution
- Driving 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
- Ensuring EAP can support the workload demands of AI agents and MCP servers that unlock new AI capabilities for Sentry
- Guiding the unification of all event data into EAP and enabling fast, complex cross-event querying at scale
- Partnering closely with cross-functional teams including Product Engineering, Streaming, Production Engineering, Security, and Compliance
- Leading the team through incidents, postmortems, and scaling challenges while fostering operational excellence
- Building a healthy and collaborative team culture rooted in growth, accountability, and inclusion
You will thrive in this role if you enjoy mentoring and developing engineers, get excited by designing and running large-scale distributed data systems, are passionate about scaling challenges, like tackling complex querying and storage challenges at massive scale, thrive on cross-functional collaboration, and want to work on a highly strategic team with significant visibility.
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 (e.g., 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
