TL;DR

Engineering Manager (AI/ML): Leading a team focused on the performance and reliability of large-scale ML workloads in production with an accent on incident resolution and operational practices. Focus on optimizing GPU utilization, debugging Kubernetes infrastructure, and enhancing observability for AI workloads.

Location: San Francisco, New York

Compensation Range: $150K - $225K

Company

%hirify_global% powers inference for the world's most dynamic AI companies.

What you will do

Lead, mentor, and scale a team of Support Engineers specializing in AI and ML production environments.
Serve as a player-coach, contributing to troubleshooting and incident resolution.
Diagnose and resolve runtime issues impacting model performance.
Debug Kubernetes infrastructure and observability stacks.
Own critical incidents end-to-end, ensuring timely resolution and communication.
Drive continuous improvement by enhancing diagnostic runbooks and developing internal automation.

Requirements

Proven experience leading technical teams in Support Engineering or Site Reliability.
Deep Kubernetes troubleshooting expertise.
Hands-on experience managing distributed systems or AI products at scale.
Expertise with observability and monitoring tools.
Skilled in incident management and customer escalation handling.
Demonstrated project management and organizational skills.

Nice to have

Experience implementing incident-response and ticketing systems.

Culture & Benefits

Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance.
Generous PTO policy including company-wide Winter Break.
Paid parental leave.
Company-facilitated 401(k).
Exposure to a variety of ML startups.