
10,000+ employees
Founded 1984
🔧 Hardware
🏢 Enterprise
👥 B2C
💰 $2G Post-IPO Debt - Lenovo on 2025-01
Hardware • Enterprise • B2C
Lenovo is a multinational technology company that designs, manufactures and sells a broad range of computing products and services. It is widely known for personal computers and laptops (including the ThinkPad line and X1 Carbon), consumer and gaming systems (Lenovo Gaming, Legion), as well as servers, data-center and enterprise IT solutions, smart devices and related services. Lenovo serves both consumer and business customers through retail, online stores and enterprise channels and is promoting AI-focused services and solutions for enterprises.
🕒 July 30
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10,000+ employees
Founded 1984
🔧 Hardware
🏢 Enterprise
👥 B2C
💰 $2G Post-IPO Debt - Lenovo on 2025-01
Hardware • Enterprise • B2C
Lenovo is a multinational technology company that designs, manufactures and sells a broad range of computing products and services. It is widely known for personal computers and laptops (including the ThinkPad line and X1 Carbon), consumer and gaming systems (Lenovo Gaming, Legion), as well as servers, data-center and enterprise IT solutions, smart devices and related services. Lenovo serves both consumer and business customers through retail, online stores and enterprise channels and is promoting AI-focused services and solutions for enterprises.
• Administer the AI Enterprise Engineering organization’s tool footprint including tools such as GitHub Enterprise Server, GitHub Actions, Cursor, Linear, Slack, and Notion • Provision and deprovision user access as team members join, change roles, or leave the organization • Manage org-level settings, configurations, and integrations across the toolset as the team scales • Connect the engineering toolset together, including via MCP (Model Context Protocol) • Monitor advances in AI-assisted development tooling and proactively recommend, pilot, and adopt new capabilities • Build and maintain automations that move information and trigger actions across tools • Partner with adjacent teams to clarify where shared infrastructure should sit versus where AI Enterprise Engineering needs its own dedicated layer • Onboard new hires onto the toolset and build training materials and sessions
• 8+ years of hands-on experience administering enterprise software tools or platforms • Hands-on administration experience with GitHub Enterprise and GitHub Actions • Hands-on administration experience with AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Claude Code), project tracking tools (e.g., Linear, Jira), and collaboration platforms (e.g., Slack, Notion) • Experience managing user lifecycle (provisioning, deprovisioning, access and permissions) across multiple systems • Experience working directly with software vendors, including renewals, support escalation, and evaluation of new tools • Bachelor’s degree in a related technical field, or equivalent experience.
• Health insurance • Flexible work arrangements • Professional development opportunities
Apply Now🕒 July 30
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