Doordash

Overview

As Team Lead, Autonomy Tech Support, you will lead the day-to-day execution and development of the Mexico City Autonomy Tech Support team while maintaining a strong understanding of its technical workflows. You will set a high bar for troubleshooting, escalation quality, documentation, and operational readiness as the autonomous delivery fleet continues to scale.

About Doordash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery.

Requirements & Eligibility

• You have experience leading and developing teams in a technical, robotics, IT, or fast-moving operational environment.
• You have strong technical troubleshooting skills and are comfortable working through complex software and hardware issues.
• You can prioritize competing issues based on fleet impact, operational urgency, and risk.
• You have experience providing feedback, coaching others, and maintaining a consistent performance and quality bar.
• You are comfortable making decisions and operating autonomously in a fast-changing environment.
• You communicate clearly and can work effectively across technical and operational teams.
• You are fluent in English and Spanish and comfortable collaborating daily with US-based teams.
• You are comfortable with tools such as Linux command line, GitHub, Jira, and service/ticketing platforms.

Key Responsibilities

• Lead the day-to-day execution of the CDMX ATS team, including coverage, workload, priorities, and high-impact fleet issues.
• Coach and develop ATS Specialists through regular feedback, technical coaching, and hands-on support.
• Maintain a high bar across troubleshooting, escalation quality, Failure Mode execution, documentation, and cross-functional communication.
• Serve as the first leadership escalation point in CDMX for complex or high-urgency issues.
• Be a first line of defense for potential software regressions and emerging fleet-level trends, ensuring abnormal behavior is identified, validated, and escalated quickly.
• Lead AI adoption, integration, and enablement across the CDMX ATS team, ensuring AI capabilities are effectively incorporated into day-to-day workflows.
• Partner with Operational Intelligence and Operational Reliability to ensure the team has the tools, systems, and processes needed to operate effectively and efficiently at scale.
• Partner closely with Engineering, Robot Operations, Remote Assistance, Service Operations, and other Labs teams to resolve complex issues.