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Job Overview
Location
US - Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
March 28, 2026
Full Job Description
📋 Description
- • As a Solutions Architect at Lorikeet Software Pty Ltd, you will serve as the critical bridge between the company's advanced AI technology and customer success, directly enabling rapid deployment and maximum value realization for enterprise clients in fintech, healthtech, marketplace, and delivery sectors. Your work will have an immediate impact on accelerating customer onboarding and unlocking transformative AI-driven experiences for end users.
- • You will lead end-to-end AI implementation projects from initial kickoff through successful deployment, acting as both an AI expert and integration specialist who translates complex customer business needs into tailored Lorikeet solutions while building trusted, long-term relationships.
- • Day to day, you will build and configure workflows within Lorikeet's AI platform to align with each customer’s unique operational goals, going beyond basic support automation to recommend innovative AI applications that drive strategic business outcomes.
- • You will deeply understand customers’ businesses — including their pain points, industry dynamics, and growth objectives — to propose and implement AI solutions that extend far beyond traditional customer support, such as enabling personalized concierge services or predictive engagement models.
- • Acting as the voice of the customer, you will collaborate closely with Lorikeet’s product team to surface field insights, provide actionable feedback, and influence both short-term feature prioritization and long-term product strategy.
- • You will guide clients through technical implementation challenges, creatively solving integration complexities involving APIs, data pipelines, and system interoperability while maintaining clear, empathetic communication across technical and non-technical stakeholders.
- • Continuously, you will tinker with and evangelize AI capabilities — experimenting with prompts, model configurations, and workflow automations — to stay ahead of emerging use cases and demonstrate tangible value to clients.
- • Lorikeet is a fast-growing, well-funded AI startup backed by over $50M from top-tier investors including QED, Blackbird, and Stripe alumni, serving enterprise clients such as the largest US teen bank, a leading virtual specialty-care platform, and major Web3 gaming companies processing over 1 million support tickets annually.
- • The company operates with a warm, high-trust, low-ego culture that values flexibility, user obsession, and learning agility over rigid credentials, actively encouraging applicants from underrepresented backgrounds to apply.
- • You will have the autonomy and initiative of an early team member to identify gaps, propose improvements, and shape not only individual client deployments but also Lorikeet’s broader approach to customer success and implementation methodology.
- • This role offers unparalleled growth potential to develop deep expertise in applied AI within real-world SaaS environments, positioning you at the forefront of defining what an AI-first customer support platform looks like — a space still largely uncharted even by major research labs.
🎯 Requirements
- • 2-5 years of client-facing experience in management consulting, technical implementation, or similar roles involving direct customer engagement and project delivery.
- • A technical background, training, or mindset — such as a CS or engineering degree, experience in math/statistics, or proven ability to learn and apply technical skills (e.g., building with low/no-code tools, data analysis, or scripting); prior software engineering experience is beneficial but not required.
- • Demonstrated success as a project leader who independently drives complex technical solutions to completion, exhibiting strong organization, reliability, and high agency in ambiguous environments.
- • Proven ability to build and manage strong stakeholder relationships with external clients, including effective communication, active listening, and translating technical concepts for non-technical audiences.
- • Genuine excitement about AI, including hands-on experience such as being a power user of tools like ChatGPT, building AI side projects, or actively experimenting with AI technologies in personal or professional contexts.
- • A solution-oriented, creative problem-solver who enjoys thinking outside the box, ‘hacking’ systems to achieve novel outcomes, and persisting through ambiguity to find innovative paths forward.
🏖️ Benefits
- • Competitive base salary benchmarked against unicorn and scale-up companies, paired with a potentially life-changing equity stake in a rapidly growing, VC-backed AI startup.
- • Fully remote work arrangement for US-based team members, with flexibility to structure your day around life priorities and a culture that trusts employees to manage their own time effectively.
- • Opportunity to participate in a two-day paid work trial as part of the hiring process, allowing both you and Lorikeet to assess mutual fit through real collaboration before any commitment.
- • Access to monthly investor-style business updates, reinforcing transparency and your role as an owner in the company’s journey.
- • Exposure to a cutting-edge tech stack including TypeScript, React/Remix, PrismaORM, NestJS, and Python, with direct involvement in shaping the UI/UX, data models, and capabilities of an AI-first SaaS product.
- • Inclusive, diverse, and ego-free culture that values user obsession, learning agility, and authentic contribution over pedigree, with active encouragement for applicants from underrepresented backgrounds.
Skills & Technologies
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About Lorikeet Software Pty Ltd
Lorikeet Software operates a cloud platform that lets customer-facing teams build, launch, and manage AI agents for support, sales, and success workflows without code. It ingests knowledge from websites, documents, and APIs, then provides chatbots, voice bots, and copilot interfaces that integrate with CRMs, ticketing, and messaging channels. Analytics, escalation, and human-in-the-loop controls are built in, letting organizations automate repetitive interactions while preserving oversight. The company is headquartered in Sydney, Australia and serves mid-market to enterprise customers across North America, APAC, and Europe.
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