Engineering Manager, Machine Learning

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

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

Nice-to-Haves

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