Staff Technical Lead Manager (tlm), It Systems Engineering

Aurora Innovation Aurora Innovation · Robotics · Mountain View, CA · Corporate IT

This role is for a Staff Technical Lead Manager (TLM) in IT Systems Engineering at Aurora Innovation. The primary focus is on building and leading an Applications Engineering team responsible for managing critical SaaS applications, integrations, and automations that power engineering and business operations. The role involves architecting a secure SaaS ecosystem, driving the enterprise AI strategy, and championing automation. While the role involves implementing and leveraging AI solutions for productivity and efficiency, it is not directly building AI models or agents but rather managing the systems and applications that support them. The team drives the use of Enterprise AI to create intelligent, end-to-end solutions.

What you'd actually do

  1. Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
  2. Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
  3. Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
  4. Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
  5. Lead the strategy and execution of enterprise AI solutions and productivity tools.

Skills

Required

  • IT, software engineering, or systems engineering experience
  • leading engineering teams
  • administering and integrating modern SaaS applications
  • scripting language (e.g., Python, JavaScript/Google Apps Script)
  • APIs, webhooks, and integration platforms
  • implementing and leveraging AI solutions
  • APIs, integrations, and cloud-native architectures
  • communication and presentation skills

Nice to have

  • Google Apps Script

What the JD emphasized

  • enterprise AI strategy
  • implementing and leveraging AI solutions