Jasper is the leading AI marketing platform, recognized as one of the Top 15 Most Innovative AI Companies of 2024 by Fast Company. The AI & IT Systems Engineer role is critical for modernizing IT infrastructure to support AI workflows, involving hands-on implementations and the design of intelligent systems for automation across platforms.
Responsibilities:
- Agentic IT Infrastructure & Automation: Modernize and fine-tune our IT systems to ensure they securely and efficiently support autonomous and agentic AI workflows. Build reliable, scalable automation infrastructure that significantly enhances team efficiency and reduces manual work
- AI Implementation & Cross-Platform Workflows: Partner with the Director of AI Enablement & IT to operationalize AI initiatives using tools like Claude, ChatGPT, and Zapier. Design intelligent workflows that connect platforms like Google Workspace and Slack, allowing AI agents to trigger real, multi-step actions
- Core Systems Management: Administer and optimize core IT domains, including Identity Providers and Mobile Device Management. Leverage advanced features like Okta Workflows to streamline identity and access operations
- Cross-Functional Technical Support: Deploy across various departments to assist directly with the technical rollout of AI enablement projects
- SaaS Ecosystem Operations: Manage and streamline our broader SaaS stack, including Google Workspace, Linear, and tens of other applications
- Enablement & Training: Assist in creating playbooks and training resources to help teams adopt new AI tools seamlessly into their existing workflows
Requirements:
- 4–6 years of experience in IT systems engineering, IT support, or a related technical role
- Demonstrated experience designing and deploying intelligent systems that automate cross-platform workflows and prepare infrastructure for AI-driven scale
- Strong, hands-on administrative experience with Identity Providers (Okta) and Mobile Device Management (Rippling IT)
- Proven track record of managing and integrating modern SaaS applications (Google Workspace, Linear, etc.)
- Ability to act as a multifaceted technical specialist, comfortably pivoting between core IT operations and cross-functional AI implementation projects
- Strong communication skills with the ability to translate complex technical concepts and business impact clearly to non-technical stakeholders