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Lorikeet

AI-powered CX automation for complex support

Demand Generation

Growth MarketingUpdated on Nov 13
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Have 4–7 years of demand generation experience in B2B SaaS.
  • Have experience at an early-stage startup of roughly fewer than 100 people, building demand generation from zero by choosing channels, setting up systems, and owning outcomes without a large team or budget.
  • Have hands-on experience across field events, webinars, executive dinners, and industry programs, not only digital campaigns.
  • Work backwards from revenue targets, think in pipeline rather than marketing-qualified leads, and defend the underlying calculations.
  • Operate autonomously with limited direction and follow through on commitments.
  • Prioritize pipeline quality as well as volume and treat Sales as a customer.
  • Be curious about AI and excited to help define an AI-first company.

Responsibilities

  • Own the North American pipeline target and build the quarterly plan to achieve it.
  • Design and run demand-generation programs including field events, executive dinners, webinars, industry programs, and integrated campaigns.
  • Translate pipeline goals into channel-level targets, budgets, and forecasts, and report on performance.
  • Partner with Sales on program conversion, handoffs, follow-up, and shared accountability for pipeline quality.
  • Build campaign tracking, attribution, and reporting infrastructure to provide visibility into the funnel.
  • Evaluate which channels and programs to scale or discontinue, iterating with limited resources.
  • Define Lorikeet's demand-generation playbook as the company grows, establishing a foundation for the function's future team and budget.

Desired Qualifications

  • Experience learning demand-generation fundamentals in a rigorous, well-resourced marketing organization and then building the function from scratch.

About the Company

Lorikeet

AI-powered CX automation for complex support

Lorikeet offers an AI-powered customer support agent for handling complex, high-stakes interactions. It plugs into a company’s internal systems via a workflow engine to automate end-to-end ticket handling, such as delayed orders or card replacements. It differentiates itself by targeting enterprise-scale CX automation with deep system integrations and the ability to resolve issues autonomously rather than just guiding users through flows. Its goal is to reduce costs and improve service levels by delivering scalable, human-like support that can resolve intricate customer issues.

Company size
51-200
Company stage
Series A
Total funding
$49M
Headquarters
Sydney NSW, Australia
Founded
2023

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