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# Manager of Autonomous Support Operations

- **Company:** Carbon Robotics
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $155,000.0 - $165,000.0
- **Contract:** Permanent contract
- **Skills:** Performance Tuning, Real Time Systems, Data Analytics
- **Published:** September 28, 2026
- **Apply:** https://www.juju.com/job/16_8ed40ab92

## About the Role

* 10+ years of experience in operations, ideally in robotics, autonomy, logistics, or high-scale real-time systems
 * Experience building and scaling operational teams in complex environments
 * Strong systems thinker-you design processes, not just manage them
 * Comfortable operating in ambiguity and building from zero to one
 * Data-driven, with experience defining and managing operational KPIs
 * Proven ability to work cross-functionally with engineering and product teams
 * Experience with command centers, NOCs, dispatch, or remote operations is a strong plus
 * Ability to travel up to 50% to field sites or regional operational centers initially. Long term, travel will be up to 25%.

## Description

The Sr. Manager of Autonomous Support Operations owns the strategy and execution of remote operations: from staffing models and intervention protocols to performance optimization and global scaling. You will define how humans and machines work together in real time., * Scale Remote Operations Centers to support global, autonomous fleet growth without operational bottlenecks. You will define location strategies, redundancy models, and multi-timezone coverage while continuously improving core center infrastructure.

 * Design and refine human-in-the-loop workflows, establishing intervention thresholds and decision frameworks. You will optimize these setups to drive a measurable reduction in intervention rates while maintaining strict safety and uptime compliance.
 * Own international hiring, onboarding, and training for remote fleet operators. You will build seasonal scheduling systems aligned with fleet demand and establish performance pathways that yield high team retention and clear accountability.
 * Establish and track core operational KPIs like intervention rates, response times, and operator utilization. You will build data dashboards to eliminate bottlenecks and steadily improve machine-to-operator efficiency ratios over time.
 * Partner closely with Engineering, Product, and Field Ops teams. You will establish a tight data feedback loop, translating insights into product roadmaps that systematically reduce human intervention over time.
 * Author standard operating procedures for monitoring, intervention, and escalation. You will collaborate with internal technical teams to build remote operations tools and drive automation that reduces manual operator load.


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