Location: Remote / Europe Your expertise: 5+ years of experience in IT operations, SaaS administration, or developer experience/enablement roles Strong experience administering enterprise SaaS platforms at scale (identity management, access controls, license management, governance)

Hands-on experience with SSO / SAML / SCIM configuration and enterprise identity providers (Okta, Azure AD, or similar) Proficiency in Python or TypeScript for building automations, integrations, and operational tooling Experience with API integrations, webhook configurations, and workflow automation platforms

Demonstrated ability to work cross-functionally with Security, Legal, Finance, and Engineering stakeholders Strong analytical skills with experience producing adoption metrics, utilization reports, and cost optimization recommendations Excellent written and verbal communication skills — able to translate technical concepts for non-technical audiences and produce clear documentation

Will definitely be a plus: Direct experience administering AI / LLM platforms (OpenAI ChatGPT Enterprise, Anthropic Claude Enterprise, or similar) Experience with AI agent architectures, MCP (Model Context Protocol), or similar tool-use frameworks Background in vendor management, contract renewals, and SaaS spend optimization

Experience building internal enablement or developer advocacy programs Familiarity with automation platforms such as Workato, Zapier, or n8n Experience with enterprise governance frameworks, audit logging, and compliance

Understanding of AI safety, data privacy, and responsible AI practices in enterprise contexts Bachelor´s degree in Computer Science, Information Systems, Engineering, or a related field





You will be involved into: Manage day-to-day administration of enterprise AI platforms, including user provisioning/deprovisioning, license allocation, workspace configuration, permission management, and access reviews Configure and maintain SSO / SAML and SCIM integrations to automate identity lifecycle management across AI platforms

Monitor and report on platform adoption, utilization, and ROI by producing monthly dashboards, quarterly executive summaries, and platform health metrics Evaluate new platform features and capabilities (including new models, agents, MCP servers, connectors, and integrations) and recommend rollout strategies in partnership with Security and Legal Serve as the primary point of contact for AI platform support by managing Slack channels, answering user questions, escalating vendor issues, curating FAQs, and supporting employee onboarding

Develop and deliver enablement programs, including feature release communications, best practice documentation, tool comparison guides, office hours, and product demos Partner with Finance and Procurement on vendor management, contract renewals, license optimization, cost allocation by team/project, and SaaS consolidation analysis Build scripts, automations, and integrations using Python or TypeScript to improve operational efficiency across platform provisioning, reporting, and governance workflows.

Establish and enforce governance policies covering acceptable use, data classification, audit logging, and compliance controls for enterprise AI platform usage Track industry trends, competitor capabilities, and emerging AI platforms to inform enterprise AI strategy and investment decisions

📌 Senior AI Platform Operations Engineer (España)
🏢 Zone3000 Technologies
📍 España