Operations Manager, AI Enablement
Whip Around
| Company | Whip Around |
| Category | Data & Analytics |
| Location | United States |
| Remote | Remote |
| Employment | Full-time |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 21 Jul 2026 |
| Last verified | 5 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Whip Around was born in 2016, originally to help freight companies in New Zealand tackle their paper-based compliance burden. It was while working for some of the globe’s largest freight companies that co-founder James saw first-hand how much time paper was costing fleet managers every day. Within a year the US market was calling loudly, and founders Tim and James were spending more time traversing the American market than anywhere else. Whip Around now has offices in Auckland, New Zealand, and Charlotte, North Carolina, servicing customers from coast to coast in the US and around the world. Team culture is at the heart of our success, with personal improvement being just as important as company outcomes. We boast a senior leadership team with experience from numerous successful global businesses, and we continue to double down on our vision to bring simplicity and efficiency to fleet management and compliance — increasingly powered by data and artificial intelligence. Reporting to the Director of Operations, the Operations Manager helps keep our AI tools and supporting systems running smoothly and efficiently. This role manages AI development and accuracy in our day-to-day systems, maintains integrations, and develops AI models that our teams depend on to continue growing the reliability and usage of AI in our business and to support our ability to scale. A key part of the role is supporting Whip Around’s AI enablement efforts. Under the direction of the Director of Operations, the Operations Manager will help identify practical opportunities for AI and automation, turn promising experiments into reliable, repeatable use cases, and embed those tools into everyday workflows to save time and improve consistency. We’re looking for someone who has hands-on experience getting AI use cases into real-world use and can show the value they delivered. Operational Delivery & Support • Manage day-to-day operations within your area, supporting the Director of Operations to keep workflows, resources and projects on track and aligned to team goals. • Track and report on operational KPIs against targets set with the Director, flagging performance gaps and helping put corrective action in place. • Help manage operational budgets and tools, keeping an eye on spend and making sure we get good value from our systems and vendors. AI Enablement & Use-Case Production • Support the rollout and adoption of AI and automation tools across the team, providing the guides, training and hands-on help people need to use them confidently. • Help identify and prioritize practical AI use cases tied to clear outcomes - reducing manual effort, improving consistency and saving time or cost. • Take promising experiments through to reliable, repeatable use cases: gathering requirements, validating outputs, supporting rollout, and maintaining, updating and improving the tools once they’re live. • Deliver early, practical “quick wins” in the first few months, then help establish simple routines for monitoring and improving the solutions in use. • Keep live AI tools fed with accurate, current information so they stay reliable and trusted by the people using them. Process Improvement & Systems • Map and improve core operational processes, spotting bottlenecks where automation or AI could replace manual administration and sharing recommendations with the Director. • Help maintain and improve core systems (e.g., Salesforce/HubSpot CRM, Jira), and flag integration gaps or usability issues in the tech stack. • Document processes, tools and standard operating procedures so that knowledge is captured, repeatable and easy for the team to follow. Data, Reporting & Stakeholder Support • Gather data needs from teams across the business and turn them into clear reports, dashboards and useful insights. • Run regular audits of key business data to ensure accuracy, and work with teams to f