Engineering Manager (AI/ML)

TL;DR

Engineering Manager (AI/ML): Leading and growing the Machine Learning Engineering team to build performance and error monitoring tools with an accent on classical ML and agentic LLM systems. Focus on defining technical direction, establishing production observability for ML models, and scaling a high-performance engineering team.

Location: Hybrid (Mondays, Tuesdays, and Thursdays set as in-office anchor days)

Salary: $220,000 – $280,000

Company

hirify.global provides performance and error monitoring tools that help developers write better software faster.

What you will do

• Set technical direction across the ML surface, including classical models (clustering, ranking, anomaly detection) and LLM-based agentic systems.
• Define evaluation and monitoring frameworks for ML systems in production, from offline metrics to online experimentation.
• Stay hands-on with code reviews, model designs, and architectural discussions to unblock engineers.
• Manage the team roadmap, scope deliverables, and allocate resources to meet ambitious goals.
• Collaborate with product, design, and engineering leaders to identify high-impact ML opportunities.
• Mentor engineers for career growth and recruit exceptional ML talent.

Requirements

• 8+ years of professional engineering experience, with significant time building and shipping production ML systems.
• 3+ years of engineering management experience, ideally leading ML, AI, or data-focused teams.
• Experience deploying and operating ML models at scale, including iteration and monitoring.
• Strong judgment and ability to operate in ambiguous, fast-moving environments.
• Excellent written and verbal communication skills.

Nice to have

• Research background in machine learning, statistics, or a related field (MS, PhD, or equivalent).

Culture & Benefits

• Hybrid work model with designated anchor days for collaboration.
• Comprehensive employee benefit plans including incentive compensation and equity grants.
• Paid time off and group health insurance coverage.
• Inclusive culture with a strong commitment to equal opportunity.
• Open-source company philosophy.