Remote Solutions Engineer

Description:

• 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 have an immediate impact on Lorikeet’s growth by training and deploying AI solutions for customers.
• The position involves working directly with clients to understand their needs, implement AI solutions, and ensure they derive maximum value from Lorikeet.
• 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 with a low ego, high trust team environment.
• High pay and high expectations are part of the role, with a potential life-changing equity stake in the business.
• Employees receive the same monthly updates as investors, fostering a sense of ownership.
• The position is at the technical cutting edge, allowing employees to define 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.