# Engineering Manager, Events Analytics Platform
**Company:** [Sentry](https://scaleengineer.com/companies/sentry)
Lead the Events Analytics Platform (EAP) team at Sentry, driving the architecture and scaling of mission-critical distributed data systems that power observability for 4 million developers worldwide. As an Engineering Manager, you'll manage and mentor a high-performing team while directing the evolution of data storage, query optimization, and analytical backends that support Sentry's AI-native future. This highly visible role requires 10+ years of software engineering expertise with 4+ years of people management experience, along with deep technical proficiency in data platforms, distributed systems, and scaling challenges at enterprise scale.
**Role:** Engineering Manager
**Seniority:** Manager
**Locations:** San Francisco, California
**Salary:** 220000–450000 USD
[Apply](https://jobs.ashbyhq.com/sentry/bd787a06-bb6c-41e6-8a6e-06362fe776b2)
Canonical: https://scaleengineer.com/jobs/sentry/engineering-manager-events-analytics-platform-bd787a06
---
## Responsibilities

- Team Leadership and Development: Grow and develop a team of engineers with high expectations for ownership and impact. Mentor engineers through career development, performance management, and coaching, with particular focus on enabling junior engineers to advance into senior technical roles.
- Technical Strategy and Direction: Set the technical and strategic direction for the Events Analytics Platform team, balancing short-term system stability with long-term architectural evolution. Drive decision-making around core infrastructure investments and technology choices.
- Feature Development and Architecture: 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 systems at scale.
- AI and Scale Enablement: Ensure the Events Analytics Platform can support workload demands of AI agents and Model Context Protocol (MCP) servers that unlock new AI capabilities. Guide the unification of all event data types (errors, transactions, spans, profiles, replays, metrics) into EAP and enable fast, complex cross-event querying at scale.
- Cross-Functional Collaboration: Partner closely with cross-functional teams including Product Engineering, Streaming infrastructure, Production Engineering, Security, and Compliance to align platform evolution with company strategy and operational requirements.
- Operational Excellence and Incident Management: Lead the team through incidents, postmortems, and scaling challenges while fostering operational excellence. Establish reliability standards and drive continuous improvement in system observability and resilience.
- Team Culture and Inclusion: Build a healthy and collaborative team culture rooted in growth, accountability, and inclusion. Create psychological safety and foster an environment where engineers can take ownership and drive impact.

## Requirements

### education

- {"name":"Computer Science or Related Field","description":"Bachelor's degree in Computer Science, Computer Engineering, or related technical field preferred (equivalent professional experience may substitute)."}

### technical

- {"name":"Query Optimization and Analytics","description":"Deep expertise in query optimization, execution planning, and analytical query patterns for complex cross-dimensional analysis at scale."}
- {"name":"Storage System Architecture","description":"Technical proficiency in modern analytical storage patterns, columnar storage engines, compression techniques, and storage-compute separation architectures."}
- {"name":"Distributed Systems Design","description":"Understanding of distributed systems principles including consistency, availability, partition tolerance, replication strategies, and failure handling in large-scale deployments."}
- {"name":"Programming Languages","description":"Proficiency with Python, Rust, or similar systems-level programming languages used in infrastructure and platform development."}
- {"name":"Observability and Monitoring","description":"Familiarity with observability concepts, event-driven architectures, and developer tools ecosystems. Understanding of telemetry data collection, aggregation, and analysis patterns."}

### experience

- {"name":"Software Engineering Leadership","description":"10+ years of industry experience in software engineering, with demonstrated success in building and shipping production systems at scale."}
- {"name":"People Management Experience","description":"4+ years of direct people management experience including career development, performance management, and hiring. Track record of growing engineers into senior roles."}
- {"name":"Distributed Systems Expertise","description":"Experience designing, building, or operating distributed systems with focus on query optimization, performance tuning, and scaling data-intensive workloads to handle massive traffic volumes."}
- {"name":"Data Platform Experience","description":"Strong technical background working with data platforms, storage systems, or analytical backends such as ClickHouse, Apache Pinot, Druid, or similar technologies handling high-throughput event streams."}
- {"name":"Production Scaling Challenges","description":"Proven experience tackling challenges of continuously scaling systems as traffic grows, including database optimization, query planning, and infrastructure planning for exponential growth."}

## Skills

### required

- {"name":"Leadership and Mentorship","description":"Demonstrated ability to lead engineering teams, develop talent, foster psychological safety, and create high-performing cultures rooted in accountability and continuous learning."}
- {"name":"Technical Communication","description":"Excellent communication skills with the ability to clearly articulate complex technical concepts to diverse audiences including executive leadership, product teams, and technical engineers."}
- {"name":"Distributed Systems Fundamentals","description":"Deep understanding of distributed systems challenges including scalability, reliability, consistency models, and operational patterns required for enterprise data platforms."}
- {"name":"Analytical Backend Platforms","description":"Hands-on experience with analytical storage and querying technologies such as ClickHouse, Apache Pinot, Druid, or similar column-oriented databases and OLAP systems."}
- {"name":"Data Pipeline Architecture","description":"Experience designing and operating data pipelines, stream processing, and real-time analytics infrastructure for handling high-volume event ingestion and processing."}
- {"name":"Strategic Planning","description":"Ability to develop technical roadmaps, balance short-term operational needs with long-term architectural investments, and align team efforts with company strategy."}

### preferred

- {"name":"AI and ML Systems","description":"Experience working with AI systems, machine learning infrastructure, or supporting AI workloads in production environments. Familiarity with MCP (Model Context Protocol) servers or AI agent architectures is a plus."}
- {"name":"Observability Platform Expertise","description":"Background working on observability platforms, application performance monitoring (APM), error tracking systems, or developer-focused tooling that processes massive volumes of telemetry data."}
- {"name":"Open Source Contribution","description":"Active contributions to open-source infrastructure or data systems projects. Familiarity with open-source development workflows and community-driven development models."}
- {"name":"Incident Command and Operations","description":"Experience leading incident response, conducting postmortems, and driving operational excellence in production environments with high availability requirements."}
- {"name":"Cost Optimization","description":"Track record of optimizing infrastructure costs through efficient data storage, query optimization, and resource allocation strategies in large-scale systems."}

## Tech stack

### tools

- {"name":"Kubernetes","description":"Container orchestration platform for managing distributed data platform deployments and scaling infrastructure."}
- {"name":"Docker","description":"Containerization technology for packaging and deploying data platform components in production environments."}
- {"name":"Grafana","description":"Observability and monitoring tool for visualizing system metrics, alerts, and performance characteristics of data platforms."}
- {"name":"Git and Version Control","description":"Essential for collaborative development, code review, and managing distributed team workflows in infrastructure development."}

### others

- {"name":"Distributed Query Engines","description":"Technologies for optimizing and executing complex analytical queries across distributed data nodes with advanced cost-based optimization."}
- {"name":"Data Compression and Encoding","description":"Techniques for reducing storage requirements and improving query performance through advanced compression algorithms and data encoding schemes."}
- {"name":"Telemetry and Observability Standards","description":"Understanding of modern telemetry collection standards including OpenTelemetry, event schema design, and unified data models for diverse signal types."}
- {"name":"API Design","description":"Design of efficient query APIs and data access patterns that enable product features while maintaining scalability and performance."}

### databases

- {"name":"ClickHouse","description":"Column-oriented OLAP database optimized for analytical queries on massive volumes of time-series event data and metrics."}
- {"name":"Apache Pinot","description":"Distributed OLAP data store designed for real-time analytics on event data with low query latency and high throughput."}
- {"name":"Apache Druid","description":"Time-series OLAP database optimized for fast slice-and-dice analytics on event streams and temporal data."}
- {"name":"PostgreSQL","description":"Relational database for transactional data and operational storage, often used alongside analytical systems in hybrid architectures."}

### languages

- {"name":"Python","description":"Primary data processing and scripting language widely used in data platforms and infrastructure automation."}
- {"name":"Rust","description":"Systems programming language ideal for performance-critical components in data systems, storage engines, and infrastructure tools."}

### frameworks

- {"name":"Apache Kafka","description":"Event streaming platform used for high-throughput, low-latency event ingestion and processing in Sentry's data pipeline."}
- {"name":"Stream Processing Frameworks","description":"Technologies for real-time data processing and transformation, enabling dynamic routing and fidelity decisions for event data."}

## Benefits

### benefits

- {"name":"Equity Grants","description":"Opportunity to participate in Sentry's equity compensation program as part of a growing, mission-driven company with significant upside potential."}
- {"name":"Incentive Compensation","description":"Performance-based bonus structure aligned with individual and team achievement of strategic objectives and OKRs."}
- {"name":"Comprehensive Health Insurance","description":"Group health insurance coverage including medical, dental, and vision plans with competitive employer contributions."}
- {"name":"Paid Time Off","description":"Generous paid vacation, sick leave, and holiday policies supporting work-life balance and personal well-being."}
- {"name":"Professional Development","description":"Investment in continuous learning through training budgets, conference attendance, and access to educational resources for engineering and leadership skill development."}
- {"name":"Remote Work Flexibility","description":"Flexible work arrangements supporting distributed teams and enabling work from preferred locations aligned with Sentry's operating model."}

## Compensation

- **max:** 450000
- **min:** 220000
- **currency:** USD
- **stockOptions:** true

## Interview process

### steps

- {"name":"Application and Initial Screening","description":"Submit resume and cover letter highlighting relevant engineering leadership experience, data platform expertise, and team building accomplishments. Hiring team conducts initial screening for core qualifications and career trajectory alignment."}
- {"name":"Technical Screen with Engineering Lead","description":"Conversation with current EAP team engineering lead or senior engineer to assess technical depth in distributed systems, data platforms, and query optimization. Discussion covers experience with specific technologies (ClickHouse, Pinot, Druid) and scaling challenges."}
- {"name":"Leadership and Organizational Design Interview","description":"Conversation with head of engineering or director focused on team development philosophy, approach to mentoring junior engineers into senior roles, performance management strategies, and building inclusive team culture."}
- {"name":"Strategic Alignment Discussion","description":"Meeting with product leadership and stakeholders to assess understanding of Sentry's product strategy, observability platform vision, and ability to align team roadmap with company priorities. Discussion of cross-functional collaboration approach."}
- {"name":"System Design and Technical Deep Dive","description":"Extended technical conversation covering system design decisions, architectural trade-offs in large-scale data platforms, query optimization strategies, and approach to scaling as traffic grows exponentially."}
- {"name":"Hiring Manager Final Round","description":"Conversation with Engineering Manager's direct manager covering overall fit, growth trajectory, compensation expectations, and logistical details around role, location, and start date."}

## Full description
## **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 (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $220,000 to $450,000\. 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 Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See [Sentry Benefits](https://sentry.io/careers/) for more details about the Company’s benefit plans/programs.

## **Equal Opportunity at Sentry**

Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.

If you need assistance or an accommodation due to a disability, you may contact us at [accommodations@sentry.io](mailto:accommodations@sentry.io).

Want to learn more about how Sentry handles applicant data? Get the details in our [Applicant Privacy Policy](https://sentry.io/careers/applicantprivacy/).