Engineering Manager, Machine Learning

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.

Responsibilities

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

Requirements

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

Nice to have

A research background in machine learning, statistics, or a related field (MS, PhD, or equivalent research experience)

Benefits

Incentive compensation; Equity grants; Paid time off; Group health insurance coverage