Customer Success Engineer (AI)

TL;DR

Customer Success Engineer (AI): Acting as the technical bridge between enterprise clients and LLM infrastructure, managing the full lifecycle from pre-sales architecture to post-deployment optimization. Focus on solving complex distributed systems challenges, scaling model performance, and ensuring production reliability for mission-critical AI workloads.

Location: Must be based in New York City and able to work within North American time zones.

Company

hirify.global is a venture-backed frontier AI startup developing an RLOps platform to enable enterprises to deploy and specialize LLMs with measurable production impact.

What you will do

• Lead technical pre-sales, including workload planning, architecture design, and performance benchmarking for enterprise prospects.
• Own end-to-end technical onboarding, driving integration and time-to-first-value for new customers.
• Support live production deployments by optimizing performance, managing costs, and troubleshooting Kubernetes-based infrastructure.
• Act as a technical escalation point, debugging Helm configurations and model serving issues within distributed systems.
• Translate infrastructure metrics into business impact through regular technical and business reviews with stakeholders.
• Channel customer feedback and field insights directly into the Product and Engineering roadmaps.

Requirements

• Must be based in New York City and available for NA time zone coverage.
• 3–6+ years of experience in customer-facing technical roles like Solutions Engineering or Technical Account Management.
• Strong hands-on experience with Kubernetes, Helm, and production distributed systems.
• Proficiency in Python for building integrations, proof-of-concepts, and performance benchmarking.
• Deep understanding of infrastructure sizing, cloud architecture, and total cost of ownership (TCO) principles.
• Ability to navigate complex enterprise technical environments and lead high-level architecture reviews.

Nice to have

• Previous experience in fast-growth or early-stage startups.
• Familiarity with ML infrastructure, including model serving, LLM fine-tuning, and inference optimization.
• Experience working closely with DevOps and SRE teams.

Culture & Benefits

• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement plan with 4% company matching.
• Unlimited PTO policy with a strong recommendation for at least 5 weeks off annually.
• Dedicated stipends for mental health, wellness, and personal development.
• Visa sponsorship support available if required.