Senior TLM, Test Triage & Analysis

Aurora Innovation•Mountain View, CA

About The Position

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn . Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Senior TLM, Test Triage & Analysis .

Requirements

2+ years of management experience with a proven ability to lead, mentor, and empower a team of technical analysts or similar roles.
Demonstrated commitment to learning and investing in the growth of others.
Superb analytical and problem-solving skills with the ability to deeply understand and analyze system-level failures in complex autonomous or robotics systems.
Must be able to differentiate sub-system level failures, perform root cause analysis, and troubleshoot issues.
Demonstrated ability to drive data-driven decisions, coupled with sensitivity to tracking and improving team metrics (OKRs/SLAs).
Must be proficient in utilizing Business Intelligence (BI) tools and dashboards as a business user to interpret trends and extract actionable insights.
Experience designing, executing, and optimizing major programs or features across a team or function.
Ability to proactively identify systemic problems, define new processes, and drive projects to address them, with a focus on scaling operations (e.g., tooling, automation, workflow improvements).
Demonstrated success in defining and implementing internal best practices for technical analysis and reporting across interdisciplinary teams.
Strong interpersonal and communication skills to act as a team representative in cross-functional capability, module, and product meetings.
Ability to bridge the gap between technical, operations, and product groups, and provide clear, actionable insights to stakeholders.
Comfortable navigating a fast-paced, fluid working environment and demonstrating significant initiative to resolve complex assignments and drive performance improvement.

Nice To Haves

BS or MS in a STEM-related field (Computer Science, Engineering, Operations Research, etc.).
Experience leading programs/projects in test evaluation, root cause analysis, triage, or quality assurance/control domains, preferably within the autonomous vehicle or robotics industries.
Strong knowledge and experience using relational databases (e.g., SQL, PostgreSQL) and common data analysis tools (e.g., Python, R) to track throughput and quality metrics, and inform program performance.
Proficiency using AI agents and co-pilots as well as coding & development assistants with a passion for building dashboards, tooling, and automation.

Responsibilities

Manage, mentor, and scale a team of triage analysts focused on root cause analysis, balancing people management responsibilities with individual contributor work
Lead and define the "how" for critical team processes by driving cross-functional initiatives and establishing best practices as a program owner
Develop, implement, and refine internal processes, incident response playbooks, and workflow improvements to ensure scalability
Drive the strategy for AI-augmented triage, implementing automated root cause synthesis and intelligent anomaly detection to transform reactive manual analysis into a scalable, proactive response framework
Act as a critical communication layer through collaboration with software engineering, product and program management, and operations to ensure efforts align with overarching company objectives
Conduct regular training sessions to deepen the team's system knowledge, automation skills, and strengthen cross-functional relationships
Monitor systems to identify trends, regressions, and progressions, ensuring findings are shared and escalated appropriately
Partner with Data Analytics to track and continuously improve key performance indicators (KPIs) and system performance metrics