Customer Success Engineer (AI Infrastructure)

Location: New York, NY, United States; Wednesday–Saturday or Sunday–Wednesday weekend shift; approximately 20% travel required.

Company

hirify.global builds enterprise data management software infrastructure for capturing, cataloging, refining, enriching, and protecting massive datasets for real-time analysis, AI training, and inference across data centers, edge, and cloud environments.

What you will do

• Act as a hirify.global product expert and trusted technical advisor for customers.
• Perform customer installations, upgrades, expansions, technical evaluations, and solution testing in customer sites and laboratories.
• Resolve escalated technical support issues through closure while coordinating with customers and development teams.
• Lead monthly and quarterly customer review meetings and support account teams with technical status and activities.
• Identify continuous-improvement opportunities to increase customer adoption and usage.
• Submit and manage feature requests and bugs with product marketing and development teams, while supporting pre-sales and technical sales activities.

Requirements

• 5+ years of experience in customer-facing, pre-sale, or post-sale positions working with complex storage solutions.
• Extensive enterprise IT infrastructure, networking, and storage experience, with a broad understanding of enterprise software.
• Common Linux system administration experience, Linux OS knowledge, network configuration on Linux, and network troubleshooting experience.
• Bash scripting is required; familiarity with one or more additional programming languages.
• Significant experience with file systems and scale-out NAS implementation.
• Excellent written and verbal business communication and presentation skills.
• Ability to manage own time and travel approximately 20% of the time.
• MS or B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Availability for either a Wednesday–Saturday or Sunday–Wednesday shift.

Nice to have

• In-depth knowledge and hands-on experience with S3 and high-performance computing.
• Hands-on laboratory and hardware management experience.
• Experience in a rapidly growing, entrepreneurial, dynamic startup.

Culture & Benefits

• Customer-first environment focused on intense innovation and measurable market impact.
• Work with enterprise and AI infrastructure across data center, edge, and cloud environments.
• Weekend-shift schedule: Wednesday–Saturday or Sunday–Wednesday.
• Approximately 20% travel is part of the role.