Engineering Manager, Machine Learning

Details

Sentry helps developers fix errors and performance issues before users notice. Trusted by more than 200,000 organizations, Sentry is building an AI-native future using production errors, spans, and logs from engineering organizations.

The Machine Learning Engineering team owns the full spectrum of ML at Sentry, including clustering, ranking, anomaly detection, embeddings, LLM-based systems, and agentic systems. The Engineering Manager will lead and grow the team while partnering with product, design, and engineering leaders to identify opportunities for ML and translate them into products used by millions of developers.

Responsibilities

• Set technical direction across the team's ML surface area, from classical models for clustering, ranking, and anomaly detection to LLM-based and agentic systems.
• Determine which ML approach best fits each problem.
• Define how ML systems are evaluated and monitored in production, including offline metrics, online experimentation, and model and agent observability.
• Review code and model designs, contribute to architecture discussions, and unblock engineers on complex ML problems.
• Define the team roadmap and deliverables, scope work, allocate resources, and keep execution on track.
• 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.

Requirements

• 8+ years of professional engineering experience, including significant experience 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 skills, with the ability to work across product, research, and engineering.
• A research background in machine learning, statistics, or a related field is a plus. An MS, PhD, or equivalent research experience is not required.
• A strong ML engineering background and willingness to stay close to the code.
• Interest in shaping how AI and developer tools work together, including how engineers and coding agents collaborate to find and fix problems.
• Ability to thrive in cross-functional environments and collaborate across product, design, and engineering.

Compensation

The base salary range is $220,000 to $280,000 per year. Actual base salary will depend on factors including work location, education, experience, skills, and job-related knowledge. The role is also eligible for applicable employee benefit programs, including incentive compensation, equity grants, paid time off, and group health insurance coverage.

Equal Opportunity

Sentry is committed to equal employment opportunities and provides reasonable accommodations to employees and candidates with disabilities. Sentry strives to build a diverse and inclusive culture. Candidates requiring assistance or accommodation may contact [email protected].