Customer Success Manager - EMEA (AI)

Location: Remote in Europe, including Spain and Poland; CEST timezone

Company

hirify.global provides a unified multimodel contextual data platform connecting enterprise data with LLMs, copilots, and AI agents through graph, vector, document, key-value, and search capabilities.

What you will do

• Drive adoption, retention, and expansion across high-value strategic accounts.
• Lead customer onboarding and adoption through tailored success plans.
• Build trusted-advisor relationships with executive and operational stakeholders, and conduct QBRs and MBRs to track ROI and business outcomes.
• Provide elevated technical support for issues, bugs, upgrades, open cases, and customer questions.
• Identify expansion opportunities with Sales and represent the customer voice to Product and Engineering.
• Track customer success metrics including GRR/NRR, executive engagement, expansion pipeline, advocacy, case studies, references, and NPS.

Requirements

• At least 5 years of experience in customer-facing roles, including customer engagement and technical training for customers.
• Experience with ticketing systems such as JIRA or Zendesk.
• Experience with at least one programming language, such as C++, Java, or JavaScript.
• Knowledge of network fundamentals including DHCP, DNS, and HTTP.
• Hands-on Unix/Linux system administration experience with RedHat, CentOS, or CoreOS.
• Experience with Docker and Kubernetes containerization.
• Prior experience with NoSQL technologies and database systems.
• Strong troubleshooting, root cause analysis, analytical, and technical communication skills in English.
• Ability to prioritize tasks in a fast-moving environment, remain calm under pressure, and adapt quickly to change.

Nice to have

• Experience with graph technologies.

Culture & Benefits

• Remote work in Europe.
• Work on AI and data infrastructure for AI-powered enterprise applications.
• Collaboration with experienced engineering, marketing, and product professionals.
• Opportunity to help shape the contextual data layer for AI.