Lorikeet is a customer support AI company focused on complex businesses such as fintechs, healthtechs, marketplaces, and delivery services.
The company aims to automate support responses with customizable AI, allowing support teams to focus on complex cases rather than high volumes of simple tickets.
Lorikeet is backed by leading VCs and angel investors and has a strong sales pipeline with paying customers.
The Solutions Engineer role will directly impact Lorikeet's growth by training and deploying AI solutions for customers.
The position involves working closely with clients to understand their needs, implement AI solutions, and ensure they derive maximum value from Lorikeet's offerings.
The role requires building strong relationships with customers and solving integration challenges creatively.
Requirements:
Candidates should have 4+ years of client-facing experience in technical implementation, management consulting, or similar roles.
A technical background, training, or mindset is necessary, which may include a CS or engineering major, experience in math or stats, or a track record of using technical skills.
Strong project leadership skills with a history of independently leading complex technical solutions are required.
Experience in building and managing stakeholder relationships is essential, as is comfort in working with external clients.
Strong communication skills are necessary to effectively listen and explain technical concepts to non-technical stakeholders.
A solution-oriented mindset is important, with a passion for creatively solving problems and "hacking" systems.
Candidates should be excited about AI and have experience tinkering with it, such as being a ChatGPT power user or building AI projects in their spare time.
Benefits:
The company offers a warm, mature, and flexible culture that values work-life balance and diversity.
High pay and high expectations are part of the role, with a competitive base salary and potential equity stake in the business.
Employees receive monthly updates similar to those sent to investors, fostering a sense of ownership and investment in the company.
The role provides the opportunity to work on the cutting edge of AI technology and contribute to defining what an AI-first SaaS product looks like.
The recruitment process is straightforward, involving informal chats followed by a paid work trial to assess mutual fit.
