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, 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 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.

• On the technical cutting edge. With our users we’re defining what an AI-first SaaS product looks like. No one has figured out what the UI/UX, capabilities and data models of an AI first company are - it’s white space for us to invent. The AI agent problems we’re solving are beyond the cutting edge at the biggest research labs. We’re building on a modern tech stack, with Typescript, React/Remix, PrismaORM, NestJS and some Python sprinkled in.

• No nonsense recruitment process. The process is: 1) informal chats with Amy 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!

We're hiring a founding Growth Marketing Lead to own demand generation from the ground up. You'll build systems to drive pipeline, primarily through paid ads, SEO, account-based marketing, website optimization, and lead generation. You'll have broad autonomy on strategy and budget allocation and could also experiment with campaigns, community events, out of home advertising, or other tactics if you have experience and see an opportunity. This role is perfect for someone who wants broad ownership, thrives on experimentation, moves fast from strategy to execution, and prefers building the playbook rather than following one.

What you'll do

• Build and manage demand generation programs across paid ads (LinkedIn, Google, display, etc.), SEO, content marketing, and other channels to drive qualified pipeline

• Design and execute account-based marketing campaigns including prospect mapping, personalized outreach, warm introductions, and retargeting to engage target accounts

• Own marketing technology and automation including lead scoring, email nurture sequences, attribution tracking, and budget optimization across the stack

• Plan and execute events including digital and in-person formats like fireside chats, workshops, and community gatherings with end-to-end lead capture and follow-up

• Partner with sales and product marketing on pipeline planning, ICP refinement, messaging alignment, and smooth lead handoff processes

• Track and optimize full-funnel performance including campaign metrics, lead quality, conversion rates, and run continuous experiments to improve results

The right candidate

You have a track record of building demand programs that have generated pipeline at startups, growth-stage companies, or scrappy teams within larger orgs. You're comfortable setting strategy and executing campaigns yourself, and you understand what is required for early-stage growth

You might be a fit if you:

• B2B growth marketing experience at enterprise SaaS or AI startups

• Proven paid marketing expertise managing budgets across LinkedIn, Google Ads, and B2B channels

• Track record driving demand in B2B in a fully sales-led motion (not PLG)

• Built marketing systems with strong instincts for enterprise messaging and channels

• Strong analytical skills for optimizing CAC and ROI

• Experience or willingness to learn account-based marketing strategies and systems

• Excited to build growth systems that combine paid acquisition with direct engagement

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