Operations Manager, R&D Operations – AI Enablement

🕒 September 30

🇺🇸 United States – Remote

💵 $100k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⚙️ Operations

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Whip Around

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

📦 Logistics

💼 Consulting

🚗 Transport

💰 $14M Series B on 2021-12

Logistics • Consulting • Transport

Whip Around is a comprehensive fleet management software provider focused on optimizing vehicle and equipment maintenance. Their platform offers solutions for fleet maintenance, inspections, fuel management, compliance, reporting, and integrations. Whip Around enables companies to manage documentation, track fuel usage in real time, and ensure compliance with safety and regulatory standards, helping to increase efficiency, performance, and profitability. The platform is tailored to the needs of various roles such as drivers, fleet managers, mechanics, and executives, providing real-time data and analytics to improve decision-making and reduce downtime.

📋 Description

• Support the Director of Operations in keeping workflows, resources, and projects on track • Track and report operational KPIs, flag performance gaps, and help implement corrective actions • Help manage operational budgets, systems, and vendors • Identify, design, and implement practical AI opportunities • Support rollout and adoption of AI and automation tools through guides, training, and hands-on support • Identify and prioritize AI use cases tied to measurable outcomes • Deliver quick wins and establish repeatable processes for monitoring and improving AI solutions • Ensure AI tools and agents use accurate, current, and appropriate information • Maintain stakeholder communication so AI agents and workflows align with changing data and processes • Map and improve operational processes and identify automation opportunities • Support R&D and Engineering AI initiatives, reporting, and data quality • Document processes, tools, and standard operating procedures • Manage and monitor system integrations and coordinate AI agent requests • Develop and maintain R&D and Engineering metrics and reporting • Analyze development and work-management data for delivery, capacity, workflow health, and trends • Audit business and operational data for accuracy and resolve variances • Prepare monthly and quarterly analytics for the Director and senior leadership • Communicate findings to technical and non-technical audiences • Coordinate with the Director of Operations and other Operations Managers • Provide documentation, support, and training for internal users • Maintain responsible-use, data privacy, quality, security, and compliance controls • Identify and escalate operational risks

🎯 Requirements

• Bachelor’s degree in Business, Operations, Analytics, Information Systems, Technology, or a related field, or equivalent practical experience • 3+ years of experience in business operations, R&D or engineering operations, analytics, business systems, program management, AI enablement, or a related field • Hands-on experience using generative AI tools to create or improve business workflows, reporting, analysis, or internal processes • Experience working cross-functionally with technical teams and translating operational needs into practical solutions • Experience working with operational data and using it to produce meaningful reporting, recommendations, or process improvements • Experience partnering with Engineering and R&D stakeholders • Experience developing and maintaining R&D metrics and reporting • Experience analyzing operational and development data • Comfortable using SQL, spreadsheets, reporting platforms, or BI tools • Experience building, configuring, training, testing, and refining AI agents or AI-assisted workflows • Strong working knowledge of Claude • Ability to evaluate AI-generated outputs for accuracy, usefulness, consistency, and source-context appropriateness • Experience with prompt design, context management, source-data refinement, testing, and feedback • Understanding of hallucination risk and approaches to improve AI output reliability • Experience designing AI workflows with human review or approval • Experience working with software engineering, product, technical, or R&D teams • Ability to translate between technical and non-technical stakeholders • Strong stakeholder-management skills • Familiarity with systems, tools, and business processes • Occasional early or late calls to overlap with New Zealand colleagues

🏖️ Benefits

• Unlimited PTO: Use your paid time off when you need it • Subsidized medical plans • 401(k) matching • Paid parental leave • Caregiver support • Professional development plans and resources • Minimal travel • Remote work arrangement