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Lorikeet, an AI customer-support solutions company, is hiring its first sales enablement and operations specialist. The role combines training, playbook creation, and CRM management to build a scalable function in a regulated AI space.
The successful candidate will automate reporting, improve data quality, and translate call patterns into practical guidance for reps, while shaping how AI supports sales processes and governance.
This is the first hire in sales enablement and operations, so the role asks for someone to build the function rather than inherit it. The work splits between training new reps and forward deployed staff, writing playbooks and messaging, and running the CRM, pipeline reviews, forecasting and tooling. A strong candidate has sold or supported sellers in B2B software, has built an enablement program before, and is comfortable both running a training session and fixing messy data.
How it fits the AI era
The company sells AI support agents, so reps must explain how the product handles compliance and money edge cases to sharp buyers. Much of the operations side, such as deal summaries, call insights, account research and CRM updates, is expected to be automated with AI tools. What stays human is judgment about what good selling looks like, coaching reps, and turning patterns from calls and wins into simple guidance.
How it builds AI experience
The role offers hands on practice building AI workflows with Claude Code alongside a GTM engineer, aimed at sales tasks like deal summaries and rep coaching. Someone can prepare by automating a reporting or CRM cleanup task and showing the result, or by using AI to analyze call recordings for patterns. Because the company works in regulated support, learning how AI answers are checked and where they fail would also help.
Worth showing
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Lorikeet
AI customer-support agents built for the regulated industries where a wrong answer actually matters.