--- title: 'Staff Software Engineer at Lorikeet' canonical: 'https://feeny.ai/job/staff-software-engineer-lorikeet-new-york-05e2bgtz3d5t' type: 'job' last_seen: '2026-10-15' --- # Staff Software Engineer at Lorikeet - **Company:** Lorikeet - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-11 - **Last confirmed live:** 2026-10-15 - **Apply:** https://jobs.ashbyhq.com/lorikeet/4ae5de01-a973-4720-baca-d63581572860 ## Job description ## About Us Lorikeet is redefining what customer support looks like — and we're just getting started. We build AI that handles complex, high-volume support for fintechs, healthtechs, marketplaces, and delivery services. Not chatbot-tier AI. The kind that actually resolves tickets, gives support teams their time back, and raises the bar for what software can do. We're backed by over $50M USD from QED, Blackbird, and Square Peg, with backing from operators like Claire Hughes Johnson (ex-Stripe COO) and Cristina Cordova (Linear COO), plus founders of Canva, Atlassian, and Airwallex. We're the first company since Canva to be funded at early stage by all three of Australia's top VC funds — which tells you something about the calibre of people who've looked closely at what we're building and said yes. Our customers include some of the largest telehealth, fintech, and marketplace companies in the US and Australia — many handling over a million support tickets a year. The problems are real, the scale is real, and the work matters. If you want to build something that genuinely changes how businesses and customers interact — this is the place. ## About the role We're defining what AI-first product development looks like in practice: the UI/UX, the capabilities, the data models, and the systems underneath them. It's a wide open problem space, and you'll be one of the people deciding which problems matter most and how we solve them. In practice, that means you'll: - Set technical direction. Own the architecture for major parts of our product and make the calls that shape the platform for years to come — then write the code to back them up. - Take on our hardest problems. The ambiguous, high-stakes, cross-cutting work: reliability at millions-of-tickets scale, evaluation and quality systems for AI agents, and the foundations other engineers build on. - Define how we build with AI. Coding agents are a core part of our workflow. You'll design the tooling, guardrails, and feedback loops that make them effective across the team — and bring the judgment to know when output is ready to ship and when it isn't. This is a hands-on role. You'll spend most of your time building, and you'll lead through the quality of your thinking and your work rather than through a reporting line. Our stack is TypeScript, React/Remix, PrismaORM, NestJS, and some Python. Knowledge of the stack is nice; we know great engineers pick things up fast. We'd love to talk if you - Have 10+ years of experience shipping software, including time as a staff- or principal-level engineer at a company with high engineering standards - Have set the technical direction for a product or platform and lived with the consequences — you can tell us what you'd do differently - Have led ambiguous, high-stakes projects from blank page to production, across the stack - Make other engineers better through design reviews, mentorship, and the example you set in your own code - Use coding agents as a core part of how you build — not just as autocomplete, but as a real development workflow — and have opinions on how teams should use them - Want to be early: real scope, real ownership, and real upside at a fast-moving company What's unique about this opportunity? A culture that's genuinely different. Low ego, high trust, no tolerance for talented jerks. We work efficiently, keep hours flexible, and actually mean it — because life outside work matters. We're committed to building a diverse team and actively encourage applicants from underrepresented backgrounds. We care far more about user obsession and eagerness to learn than traditional credentials. A front-row seat to building something meaningful. We're Series A and moving fast. You'll have real scope to shape the product and the company — not just execute someone else's vision. Performance recognized in real time, not on a calendar. Promotions happen when you're ready — leadership meets every six weeks specifically to identify and recognize strong performers, so you're never waiting for an arbitrary review window to move up. We're AI-native, and we'll make you AI-native too. Every person at Lorikeet uses AI in their day-to-day work (current favourite: Claude Code), with unrestricted access and no usage limits. You'll leave with skills that matter for the next decade of work. Twice a year, the whole company flies to Hawaii. Headquartered in Sydney, with teams spanning the US and UK — which means getting everyone in the same place is something we invest in seriously. We spend the time hacking on ideas, building things together that wouldn't otherwise exist, and making memories that remind you why you joined a startup in the first place. A recruitment process built on respect, not hoops. We keep it simple: a couple of informal chats to share our story and hear yours, followed by a paid ~two-day work trial. The work trial is genuinely the best part — you'll work on real problems alongside the actual team, get a true feel for how we operate, and we'll both come out of it knowing whether this is the right fit. No trick questions, no take-homes that disappear into a void. Just real work, done together. If you're from an underrepresented background and don't tick every box, please reach out anyway. We know firsthand that diverse teams perform better, and we're proud that our team reflects a broad spectrum of identities and lived experiences. ## About Lorikeet ## Company Overview - **One-liner**: Lorikeet provides an AI-powered customer concierge platform that resolves complex support issues end-to-end for regulated industries like fintech and healthtech. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, United States (with a globally distributed team and Australian roots) - **Founded**: 2023 - **Founders**: Steve Hind and Jamie Hall ## Core Business - **Primary industry**: AI customer support / customer experience automation - **Target customers**: B2B – specifically fintechs, healthtechs, crypto marketplaces, and other regulated or complex businesses - **Mission**: “To give every company the ability to deliver a universal concierge to their customers” – solving issues by knowing context and taking actions 24/7 via any channel. ## Products & Services - **Concierge Agent**: An omnichannel AI agent that handles inbound and outbound support across voice, chat, email, SMS, and WhatsApp. It reads data, takes actions (e.g., refunds, account changes), and escalates when needed. Built with granular permissions and dynamic gating for compliance. - **Coach Agent**: A quality assurance tool that measures performance across 100% of tickets (not just surveys) and provides insights for continuous improvement – works for AI, human, and hybrid teams. - **Platform integrations**: Connects with Zendesk, Stripe, internal APIs, MCP, webhooks, and knowledge bases to execute workflows and personalize responses. ## Market Standing - **Valuation**: Not publicly disclosed - **Key Metric**: Total funding of $49.0M (as of latest round) - **Funding History**: - Seed (Oct 2024): $5.0M led by Square Peg Capital - Seed (Feb 2025): $9.0M led by Blackbird Ventures - Series A (Sep 2025): $35.0M led by QED Investors (8 investors) - **Notable Investors**: QED Investors, Blackbird Ventures, Square Peg Capital - **Growth Signals**: 74 employees (+167.6% YoY); team spans Australia, US, and UK; hires from Stripe, Google, Atlassian, Canva, Dovetail; expanding globally with offices in Sydney, San Francisco, New York, and London. ## Competitive Advantages - **Action-focused AI**: Unlike typical “help center summary” chatbots, Lorikeet’s agents can execute multi-step actions (e.g., process refunds, coordinate with doctors) within strict compliance guardrails. - **Regulatory readiness**: Purpose-built for fintech and healthtech with transparent reasoning, full audit trails, and deterministic safety controls. - **Omnichannel depth**: Seamless handoff across voice, chat, email, SMS, and WhatsApp with full context retention. - **Outcome-based pricing**: Pricing tied to resolution, aligning incentives with customer success. ## Strategic Focus - **Deepening platform capabilities**: Expanding proactive, personalized engagement that blurs lines between support, lifecycle marketing, and software experiences. - **Global scaling**: Building a multi-geo, multi-timezone team to serve a growing international customer base. - **Enterprise partnerships**: Offering forward-deployed engineering and dedicated support for scale customers. ## Why Work Here - **Culture**: Emphasizes agency, empowerment, conviction, accountability, and “being truly excellent to each other” – no tolerance for brilliant jerks. - **Remote/hybrid**: Globally distributed team with Australian roots; remote-friendly with offices in Sydney, San Francisco, New York, and London. - **Team**: Founders from Stripe/Watershed (Steve Hind) and Google Brain (Jamie Hall). Team includes alumni from Stripe, Google, Dropbox, Atlassian, Canva, Bain, BCG. - **Engineering focus**: Building at the AI research frontier (LaMDA/Meena lineage) applied to real-world customer problems. - **Growth**: High velocity, early-stage company with significant ownership and impact opportunities. ## Sources 1. [Lorikeet Homepage](https://www.lorikeetcx.ai/) 2. [Lorikeet Careers Page](https://www.lorikeetcx.ai/careers) 3. [Lorikeet About Page](https://www.lorikeetcx.ai/about) 4. [Lorikeet LinkedIn](https://www.linkedin.com/company/lorikeetcx) 5. [Lorikeet Product Overview](https://www.lorikeetcx.ai/product) 6. 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