About Lorikeet
Lorikeet is the most powerful customer support AI for complex businesses like fintechs, healthtechs, marketplaces and delivery services.
We’re doing this by building ground up from the premise that most support responses should be automated with transparent, customizable AI, and that support teams should spend their time managing automation and engaging with complex cases, not grinding through high volumes of simple tickets. Once teams are freed from reactive support, we want to help them tackle what’s next: providing personalized concierge services to their customers.
To deliver this combination of powerful AI systems and well designed tooling we’re leveraging Jamie’s experience as an early member of Google’s generative AI team and Steve’s experience building for operational teams at Stripe, as well as the experience of our team who’ve joined us from places like Stripe, Canva, Atlassian, Dropbox and Dovetail.
We are growing fast, have paying customers, real revenue, an exciting roadmap and a strong sales pipeline. We’ve raised over USD $50m from leading VCs and angel investors, including QED (Capital One founder), Blackbird, Square Peg, Claire Hughes Johnson (ex Stripe COO), Cristina Cordova (Linear COO), Bob Van Winden (Stripe Head of Support), and Cos Nicolaescu (Brex CTO).
Our global customers include:
The largest telehealth company in Australia,
The largest bank for teens in the US,
One of the largest NFT marketplaces by trading volume,
The leading virtual specialty-care platform in the US,
One of the largest flexible rent-payment platforms in the US,
One of the largest Web3 gaming companies
… and a handful of other enterprise customers with over 1 million support tickets a year.
What’s unique about this opportunity?
Warm, mature, flexible culture. Low ego, high trust team. No tolerance for ‘talented jerks’. We embrace a) working efficiently, and b) working flexible hours to fit in life priorities outside of work. We’re committed to building a diverse team and really encourage folks from underrepresented backgrounds to reach out - we value user obsession and eagerness to learn over traditional credentials.
High pay, high expectations, high performance. We’re building a small, great team. We aim to match unicorn / scale up pay at base salary and offer a potentially life-changing equity stake in the business. Our team gets the same monthly updates we send to our investors because they’re investors and owners too.
No nonsense recruitment process. The process is: 1) informal chats with Steve and Remy to hear our pitch and understand your interests and goals, 2) a ~two day paid work trial where you come in and ship with us. There’s no better way for each of us to figure out if we like working together than to work together!
About the role and you
We’re hiring for Business Operations in the United States. You’ll be part of our generalist team, rotating through different parts of the company—standing up and pressure-testing functions like growth, upsell motion, or partnerships. This is a high-context, high-agency role designed to grow with the needs of the business.
The essence of BizOps here is filling high-priority gaps as they emerge - incubating new functions, solving tough problems, and making things happen.
This is the right role for someone who thrives on autonomy and wants to build. You’ll often be the only person online in your timezone, making fast, high-stakes decisions and directly managing relationships with key customers. If that energizes you, you'll do well here.
What you’ll do
Act as an early BizOps hire, partnering closely with leadership to scale our presence globally
Rotate through high-priority business functions (e.g. growth, strategic finance, partnerships), standing up systems and playbooks as you go
Make fast, high-stakes decisions with limited structure or oversight
Design and implement scrappy, high-leverage solutions to problems across operations, GTM, and customer delivery
The right candidate
The right candidate is equal parts operator, strategist, and builder. You’re the kind of person who gets energy from ambiguity, moves quickly without sacrificing judgment, and can context-switch between tactical execution and big-picture thinking. You’re comfortable navigating unstructured problems, and you have a bias toward action—even when the path isn’t fully mapped.
You might have experience in consulting, early-stage startups, or customer-facing roles at fast-moving tech companies. What matters most is that you can pick up new domains quickly, communicate clearly across functions, and take ownership of complex initiatives from day one.
You should be excited about the opportunity to rotate across the business, standing up new functions and helping us scale what works.
You might be fit if you:
You’ve owned high-impact projects in fast-paced environments, with 5-8 YOE across MBB consulting, investment banking, PE or VC, or a high growth, venture-backed software startup.
You’ve successfully launched new initiatives or processes from scratch (e.g. built a new onboarding flow, created internal dashboards, led a GTM experiment)
You’ve directly managed enterprise or strategic customer relationships and know how to navigate ambiguity, unblock stakeholders, and drive toward outcomes
You’ve led cross-functional workstreams, perhaps involving product, engineering, sales, or customer success—and have the receipts to show you made things measurably better
Are excited by the chance to help build a category-defining AI company
If you don't quite match this and are from an under-represented background we strongly encourage you to reach out. We know first hand that diverse teams are higher performing and are proud that our team reflects a broad spectrum of identities and lived experiences.
Lorikeet uses Automated Employment Decision Tools (AEDT) to assist in the candidate screening process. These systems help us efficiently review a high volume of applications by analyzing qualifications, skills, and experience against the requirements of the job description.
The use of AI is intended to enhance, not replace, human judgment. Final hiring decisions are made by human recruiters and hiring managers who review all relevant information, including AI-generated assessments, to ensure a fair and comprehensive evaluation.
Our AI systems are regularly audited and monitored to prevent and mitigate bias. We are committed to ensuring that our technology-assisted processes comply with all federal, state, and local anti-discrimination laws.
If you require a reasonable accommodation to participate in our application process, please contact us at: people@lorikeetcx.ai
