Driver Operations Manager

About 8Fleet 8Fleet is a rapidly growing LA-based technology and logistics startup building the operational infrastructure for both autonomous and non-autonomous rideshare fleets. With our anticipated growth, we’re searching for a passionate Market Manager to join and grow with our team. You’ll be involved in every aspect of operations as we expand rapidly! About the Role The Driver Operations Manager is responsible for owning and improving driver performance within 8Fleet’s Los Angeles market. This role is fully focused on analyzing driver data, identifying performance gaps, and turning insights into concrete actions executed by Ops Coordinators on the ground. You will serve as the connective tissue between driver performance data and the Ops Coordinators who work directly with drivers. This role ensures that what the data says actually shows up in day-to-day conversations, coaching, and execution in the field. This is a hands‑on role for someone who is equally comfortable deep in dashboards and performance analyses as they are rolling up their sleeves to solve real operational problems. The ideal candidate is an analytics powerhouse with a strong operator’s mindset — someone who will do whatever it takes to improve outcomes, including changing a tire if needed. You are driven. You are curious. You care deeply about performance — and you take pride in execution. Key Responsibilities Driver Performance Analytics & Insights Own driver-level performance metrics including utilization, online hours, trip quality, acceptance rates, cancellations, reliability, and safety indicators Build, maintain, and improve dashboards and reporting to surface trends and identify underperformance. Analyze driver behavior and performance patterns to identify root causes and improvement opportunities. Clearly translate data insights into actionable recommendations for Ops Coordinators. Execution Through Ops Coordinators Partner closely with Ops Coordinators to ensure performance insights are effectively communicated to drivers Equip Coordinators with clear talking points, priorities, and follow-ups rooted in data Support and reinforce performance conversations through coaching frameworks and escalation paths Track execution quality and follow-through to ensure data‑driven initiatives actually move metrics On-the‑Ground Operational Support Stay closely connected to day‑to‑day fleet operations to understand real‑world constraints behind the data Step in to support operational issues as needed, including driver or vehicle‑related problems Lead by example with a hands‑on approach to problem‑solving and execution Continuous Improvement & Feedback Loop Monitor the impact of performance initiatives and iterate quickly based on results Surface insights from Ops Coordinators and drivers to refine analytics, targets, and processes Act as a feedback loop between field execution and performance reporting Successful Candidates Will Bring 2+ years of experience in operations, analytics, logistics, or a similar execution‑heavy role Strong analytical skills with the ability to interpret data, identify patterns, and drive action Experience working with performance metrics, dashboards, and reporting Ability to translate data into clear, actionable guidance for frontline teams Strong ownership mentality and bias toward action Willingness to roll up your sleeves and support operations as needed Strong communication and collaboration skills across analytical and operational teams Excellent organization and time management in a fast‑paced environment Experience with rideshare platforms (Uber, Lyft) or fleet operations is a strong plus Available full‑time, on‑site in Los Angeles Equal Opportunity Employer 8Fleet is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, 1 gender, sexual orientation, age, marital status, veteran status, or disability status. Disclaimer This job description may be updated at any time without prior notice. #J-18808-Ljbffr