Engineering Manager, Machine Learning

Stack

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
• ▹Define how the team evaluates and monitors ML systems in production, from offline metrics to online experimentation to model and agent observability
• ▹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
• ▹Partner with product managers, designers, and engineering leaders to identify the highest-impact opportunities for ML
• ▹Foster career growth for the engineers on the team, and recruit exceptional ML talent

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

Soft skills

What we offer

• ▹Incentive compensation
• ▹Equity grants
• ▹Paid time off
• ▹Group health insurance coverage

About the company

Sentry's application monitoring platform is trusted by 200,000+ organizations to help developers spot and fix errors and performance issues before users notice — the team is building its AI-native future.