机器学习工程经理
Engineering Manager, Machine Learning
关于 Sentry
软件驱动世界，速度比以往任何时候都更快。Sentry 帮助开发者在用户发现之前修复错误和性能问题，让团队能减少应对突发问题的时间，更多地专注于构建。
被 20 万+ 组织信赖，Sentry 是当今应用监控的标准，我们的团队正在打造其面向 AI 的未来。
关于该职位
人工智能和机器学习正在重塑开发者调试、监控和发布软件的方式，而 Sentry 正处于引领这一变革的独特位置。我们拥有来自数以万计工程组织的真实生产错误、跨度和日志的创新且庞大的数据集——这种信号使 ML 真正有用，无论是聚类模型将相关问题分组，还是排名系统在正确时间显示正确的警报，或是代理提出修复方案。
我们正在寻找一位工程经理来领导并发展我们的机器学习工程团队。该团队负责 Sentry 全面的 ML 工作：包括今天默默支撑核心产品表面的经典技术，如聚类、排名、异常检测和嵌入，以及塑造产品未来方向的基于 LLM 和代理的系统。你将与产品、设计和工程领导者紧密合作，决定 ML 在我们产品中的位置，什么样的 ML 实际上适合问题，并如何将这些工作转化为数百万开发者每天依赖的体验。
在此职位中，你将：
- 设定团队整个 ML 领域的技术方向——从聚类、排名和异常检测的经典模型到基于 LLM 和代理的系统，并对每种问题适用的方法做出精准判断
- 定义团队如何评估和监控生产中的 ML 系统，从离线指标到在线实验，再到模型和代理的可观测性
- 保持足够的动手能力，审查代码和模型设计，参与架构讨论，并解决工程师在复杂 ML 问题上的障碍
- 制定团队路线图和交付成果，规划工作，分配资源，并确保在雄心勃勃的目标下保持执行进度
- 与 Sentry 内各产品管理、设计和工程领导者合作，识别 ML 在我们产品中的最高影响力机会
- 促进团队工程师的职业成长，并在团队扩展时招募优秀的 ML 人才
如果你喜欢这个职位，你将：
- 拥有扎实的 ML 工程背景，并将其用于实际工作中
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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/.