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AI Support Solutions Expert
2 weeks ago
Lorikeet is a cutting-edge customer support platform built for complex businesses. Our mission is to empower organizations by providing an automated AI system that efficiently manages high volumes of simple tickets, allowing them to focus on personalized services.
Our team comprises experienced professionals from top companies like Google, Stripe, Canva, Atlassian, Dropbox and Dovetail. We're backed by leading venture capitalists and angel investors.
Global customers include the largest telehealth company in Australia, the largest bank for teens in the US, one of the largest NFT marketplaces and one of the largest Web3 gaming companies.
What Sets This Opportunity Apart?- A warm, mature and flexible work environment with a low ego and high trust culture.
- High pay, high expectations and high performance. A base salary and potentially life-changing equity stake in the business.
- On the technical cutting edge with a modern tech stack including Typescript, React/Remix, PrismaORM, NestJS and Python.
- A no-nonsense recruitment process: informal chats, paid work trial and collaborative shipping.
This opportunity involves joining our US implementation team as a trusted advisor, problem solver and AI guide for our customers.
You don't need to be a technical expert but should be comfortable working with technology, learning new tools and thinking through complex problems.
Who We're Looking ForWe're seeking a business-savvy problem solver who's curious about AI, eager to learn and excited to develop technical skills.
The ideal candidate enjoys diving into customer challenges, figuring out how to configure and optimize AI tools and thinking creatively about new ways to help businesses.
Key Responsibilities- Act as a trusted AI advisor for our customer base.
- Lead AI implementation projects from kickoff to successful deployment.
- Work closely with customers to understand their workflows and configure our tools to fit their needs.
- Identify opportunities for AI-driven solutions beyond traditional customer support.
- Collaborate with our product team to represent customer needs, provide feedback and influence product strategy.
- Guide customers through onboarding, troubleshooting and best practices.
- Solve integration challenges in creative and effective ways.
