Mission Operations Coordinator, Santa Clara, CA (Day Shift)
Coordinates and optimizes autonomous fleet operations across shifts and geographies, including scheduling, allocation, troubleshooting, emergency response, and workflow improvement. Requires at least one year of resource planning or related operations experience and comfort with operational data tools.
About the job
Responsibilities
- Schedule, coordinate, and optimize fleet operations across multiple geographies and operational missions.
- Translate weekly plans into daily operator assignments and ensure execution against plan.
- Coordinate full shifts involving testing, manual data collection, activity documentation, and on-road operations.
- Re-optimize schedules and allocations as conditions change, capturing plan-versus-actual results and insights.
- Support drivers and operators in meeting team and program goals.
- Ensure procedures, checklists, and escalation processes are followed consistently.
- Publish daily shift reports and handoff notes.
- Support commercial deliveries by interacting with merchants and customers, assisting on-road operations, and escalating issues.
- Serve as the initial escalation point for technical, software, and emergency situations.
- Communicate effectively with field operators and respond to operational issues with composure.
- Lead workflow optimization and automation initiatives with cross-functional stakeholders.
- Synthesize operational data to improve planning workflows and drive plan-versus-actual insights.
- Lead team initiatives that improve communication and alignment with processes and policies.
Requirements
- At least 1 year of experience in resource planning, allocation, optimization, reporting, or a related area; fleet management, autonomous driving, or robotics/logistics experience is preferred.
- Ability to implement shift operating schedules, including rotating shifts.
- Ability to synthesize operational data and generate actionable insights.
- Comfort working with Google Sheets, Google Data Studio, and Looker.
- Independent problem-solving and issue-resolution skills.
- Ability to work in a fast-paced, dynamic environment and adapt to changing business and schedule needs.
- Strong interpersonal and communication skills.
Nice-to-haves
- 2+ years of experience in resource planning, allocation, and optimization.
- 2+ years of experience in the autonomous-vehicle or delivery industry.
- BA/BS degree or equivalent practical experience.
Compensation
- Base salary range: $65,640–$88,690 annually.
- Eligible for an annual performance bonus, equity, and benefits.
Skills
Resource Planning, Fleet Management, Scheduling, Allocation Optimization, Google Sheets, Google Data Studio, Looker, Data Analysis, Workflow Automation, Operations Reporting
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