Engineering Manager - Observability

TL;DR

Engineering Manager - Observability: Leading the Observability team, responsible for the metrics infrastructure that keeps hirify.global's most critical systems running with an accent on design, reliability, roadmap, and operational excellence. Focus on hiring exceptional software engineers and building a resilient, high-ownership culture.

Location: Hybrid - must be in one of our offices at least 25% of the time in San Francisco, CA or New York City, NY

Salary: $405,000 - $485,000 USD

Company

hirify.global’s mission is to create reliable, interpretable, and steerable AI systems.

What you will do

• Help grow the Observability team, hiring exceptional software engineers and building a resilient, high-ownership culture
• Own hirify.global's metrics platform end-to-end — design, reliability, roadmap, and operational excellence
• Build strong partnerships with internal customers across infrastructure, training, and inference teams to understand needs and manage priorities
• Partner with the team's technical leads to align on architecture, execution, and hiring
• Drive operational rigor — making on-call and incident response sustainable and continuously improving

Requirements

• Have 2+ years of engineering management experience leading observability, monitoring, or metrics infrastructure teams
• Bring domain expertise in metrics infrastructure — you've worked with Prometheus, Grafana, time series databases, or similar technologies
• Have experience managing an internal platform team with many stakeholders — you know how to manage competing priorities and communicate tradeoffs clearly
• Are operationally minded — you've led teams with significant on-call burden and know how to make reliability a first-class priority
• Are a positive, high-energy leader who creates a "we can do this" environment even when things are hard.
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

Nice to have

• Running a metrics or observability system at a company with a large internal customer base
• Managing external vendor partnerships for observability tooling
• Observability for ML training or inference workloads
• Building or operating metrics infrastructure at significant scale

Culture & Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours