---
title: 'Engineering Manager, Machine Learning at Sentry'
canonical: 'https://feeny.ai/job/engineering-manager-machine-learning-sentry-san-francisco-qy136mbd0fqa'
type: 'job'
last_seen: '2026-09-11'
---

# Engineering Manager, Machine Learning at Sentry

- **Company:** Sentry
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-05-18
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/sentry/d5a378cc-524d-410b-8c42-2493cee1c657

## Job 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

AI and machine learning are reshaping how developers debug, monitor, and ship software, and Sentry is uniquely positioned to lead that shift. We sit on a novel and massive dataset of real production errors, spans, and logs from tens of thousands of engineering organizations — the kind of signal that makes ML genuinely useful, whether it's a clustering model that groups related issues, a ranking system that surfaces the right alert at the right time, or an agent that proposes a fix. We're looking for an Engineering Manager to lead and grow our Machine Learning Engineering team. This team owns the full spectrum of ML at Sentry: classical techniques like clustering, ranking, anomaly detection, and embeddings that quietly power core product surfaces today, alongside the LLM-based and agentic systems shaping where the product is headed. You'll partner closely with product, design, and engineering leaders to decide where ML belongs in our products, what kind of ML actually fits the problem, and how we translate that work into experiences millions of developers rely on every day.

In this role you will

- Set technical direction across the team's full ML surface area — from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems — and make sharp calls about which approach fits each problem
- Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability
- Stay hands-on enough to review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems
- Define team roadmap and deliverables, scope work, allocate resources, and keep execution on track against ambitious goals
- Partner with product managers, designers, and engineering leaders across Sentry to identify the highest-impact opportunities for ML in our products
- Foster career growth for the engineers on your team, and recruit exceptional ML talent as the team scales

You'll love this role if you

- Have a strong ML engineering background that you use to inform and validate the team's technical decisions, and you're comfortable staying close to the code
- Are excited to shape how AI and developer tools come together, and want to define how engineers and coding agents collaborate to find and fix problems
- Are driven by impact and want to lead a team working on high-stakes, high-visibility projects
- Love building things from the ground up — the ML team is still in its early chapters, and there's plenty of greenfield to shape
- Thrive in cross-functional environments and enjoy collaborating across product, design, and engineering to ship great work
- Care deeply about growing the engineers around you and finding opportunities for them to do the best work of their careers

## Qualifications

- 8+ years of professional engineering experience, with significant time spent building and shipping machine learning systems in production
- 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams
- Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration in production
- Strong judgment in ambiguous, fast-moving environments
- Excellent written and verbal communication; comfortable working across product, research, and engineering
- A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience) is a plus but not a requirement

Not sure if you meet 100% of the qualifications? We encourage you to apply anyway. We're interested in people who are excited about this opportunity and eager to grow.

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

## About Sentry

## Company Overview
- **One-liner**: Sentry is the leading application performance monitoring and error-tracking platform that helps developers diagnose, fix, and optimize code in real-time.
- **Entity Type**: Private (Series E)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2012
- **Founders**: David Cramer, Chris Jennings

## Core Business
- **Primary industry**: Application Performance Monitoring (APM) and Error Tracking Software
- **Target customers**: B2B; developers and engineering teams at organizations of all sizes, from startups to large enterprises (200K+ organizations)
- **Mission or purpose**: To give every developer the tools to build better software, faster, by making debugging and performance monitoring accessible and indispensable.

## Products & Services
- **Sentry Error Tracking**: The core product — real-time error monitoring that captures, aggregates, and surfaces software bugs across 100+ coding languages and frameworks. [sentry.io](https://sentry.io/welcome/)
- **Sentry Performance Monitoring**: Traces slow transactions, API calls, and database queries to help developers optimize application speed and reliability. [sentry.io](https://sentry.io/welcome/)
- **Sentry Session Replay**: Video-like replays of user sessions to see exactly what happened before, during, and after an error. [sentry.io](https://sentry.io/welcome/)
- **Sentry Profiling**: Continuous code profiling to identify performance bottlenecks at the function level. [sentry.io](https://sentry.io/welcome/)
- **Sentry Crash Reporting (Cocoa/Android)**: Native SDKs for mobile error tracking and performance monitoring. [sentry.io](https://sentry.io/welcome/)
- **Seer (AI Debugging Agent)**: An AI-powered tool that uses Sentry context (logs, commits, traces) to automatically root-cause issues and generate merge-ready patches. [sentry.io](https://sentry.io/welcome/)
- **Sentry MCP Server**: Integrates with coding agents to bring full debugging context directly into the developer's workflow. [sentry.io](https://sentry.io/welcome/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (last known funding round was $217M total raised)
- **Key Metric**: $217M total funding raised across 6 rounds; processes 190B+ events daily; serves 200K+ customers and 4M+ total users across 146 countries [sentry.io](https://sentry.io/about/)
- **Notable Investors/Partners**: Backed by prominent venture capital firms (specific names not listed on the about page, but the company has raised significant capital). Key integrations include GitHub, Slack, Jira, and Linear. [sentry.io](https://sentry.io/welcome/)
- **Growth Signals**: Acquired Codecov in December 2022 to expand into code coverage; processes 790B+ events per month; has 200+ employees across offices in San Francisco, Vienna, Toronto, Amsterdam, New York, and Sydney. [sentry.io](https://sentry.io/about/)

## Competitive Advantages
- **Developer-First DNA**: Built by developers for developers, with an open-source heritage that fosters deep trust and community adoption.
- **Unified Observability Platform**: Uniquely connects errors, logs, session replays, traces, profiles, and metrics under a single trace ID, providing end-to-end context that competitors like Datadog or New Relic offer as separate products.
- **AI-Native Debugging**: Seer, the AI debugger, goes beyond simple alerting to automatically root-cause issues and generate patches, a significant moat in the AI-assisted development space.
- **Massive Scale & Community**: Loved by millions of developers and 200K organizations, with 190B+ events processed daily, creating a powerful network effect and data advantage for AI models. [sentry.io](https://sentry.io/about/)

## Strategic Focus
- **AI-Powered Developer Tools**: Deep investment in AI (Seer, AI code review, AI evals) to move from passive monitoring to proactive debugging and automated fixing.
- **Unified Observability**: Continuing to break down silos between errors, performance, logs, and replays into a single, trace-connected experience.
- **Platform Expansion**: Growing beyond error tracking into a full-stack observability and developer productivity platform, including code coverage (via Codecov acquisition) and AI-assisted development.
- **Enterprise Scale**: Building out capabilities for large organizations (enterprise product marketing, solutions engineering, security compliance) while maintaining a strong developer experience.

## Why Work Here
- **Culture & Values**: Emphasizes "pixels matter" (attention to detail), constructive feedback, iteration, and valuing people from diverse backgrounds. The culture is described as relatively small, fast-growing, and highly influential. [sentry.io](https://sentry.io/careers/)
- **Remote/Hybrid Policy**: Offers roles across multiple global offices (San Francisco, Toronto, Vienna, Amsterdam, New York, Sydney) with a mix of in-office and remote positions. The careers page lists specific locations for each role. [sentry.io](https://sentry.io/careers/)
- **Notable Perks**: Competitive compensation + equity, flexible PTO, paid parental leave, medical/dental/vision insurance, 401k plan (US), commuter benefits, professional development stipend, charitable matching program, and a well-stocked office (including "a minimum of six different brands of sparkling water"). [sentry.io](https://sentry.io/careers/)
- **Engineering Culture**: High ownership and autonomy; engineers influence product, brand, and culture. The company is known for shipping high-quality code and has a strong open-source ethos. [sentry.io](https://sentry.io/careers/)
- **Diversity & Inclusion**: Committed to equal employment opportunity and providing reasonable accommodations. Explicitly states that software should be accessible, starting with making the industry accessible. [sentry.io](https://sentry.io/careers/)

## Sources
1. [sentry.io](https://sentry.io/about/)
2. [sentry.io](https://sentry.io/careers/)
3. [sentry.io](https://sentry.io/welcome/)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/sentry)
5. [greatplacetowork.com](https://www.greatplacetowork.com/certified-company/7024898)

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