Engineering Manager, Machine Learning

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. The team works with a massive dataset of real production errors, spans, and logs to build ML models that improve product experiences for millions of developers.

Key responsibilities

• Set technical direction across the team’s full ML surface, from classical models to LLM‑based and agentic systems.
• Define evaluation and monitoring practices for ML systems in production, covering offline metrics, online experiments, and observability.
• Stay hands‑on by reviewing code and model designs, contributing to architecture discussions, and unblocking engineers on complex problems.
• Define roadmap, scope work, allocate resources, and keep execution on track against ambitious goals.
• Partner with product managers, designers, and engineering leaders to identify high‑impact ML opportunities.
• Foster career growth for engineers and recruit exceptional ML talent as the team scales.

Required profile

• Strong ML engineering background used to inform and validate technical decisions.
• Excitement about shaping AI‑driven developer tools and defining engineer‑coding‑agent collaboration.
• Impact‑driven mindset, eager to lead high‑stakes, high‑visibility projects.
• Passion for building from the ground up in a greenfield environment.
• Ability to thrive in cross‑functional settings and collaborate across product, design, and engineering.
• Commitment to growing the engineers around you and creating opportunities for their best work.

Required skills

• 8+ years of professional engineering experience with production ML systems.
• 3+ years of engineering management experience, preferably leading ML, AI, or data‑focused teams.
• Familiarity with deploying and operating ML models at scale, including evaluation, monitoring, and iteration.
• Strong judgment in ambiguous, fast‑moving environments.
• Excellent written and verbal communication across product, research, and engineering.
• Research background in machine learning, statistics, or related field (MS/PhD or equivalent) is a plus.

What we offer

• Competitive base salary range $220,000–$450,000 plus equity, incentive compensation and comprehensive benefits.
• Eligibility for employee benefit plans including paid time off, group health insurance, and other Sentry programs.