Account Executive (Sales) - AI-Driven Customer Support Solutions
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About Lorikeet
Lorikeet is redefining customer support with AI that resolves complex, high-volume support tickets for fintechs, healthtechs, marketplaces, and delivery services. Backed by over $50M USD from QED, Blackbird, Square Peg, and operators like Claire Hughes Johnson (ex-Stripe COO) and Cristina Cordova (Linear COO), Lorikeet serves customers handling over a million support tickets annually.
Headquartered in Sydney with a growing US team, Lorikeet is the first Australian startup funded at early stage by all three of Australia’s top VC funds.
About the Role
This is a foundational sales opportunity to join Lorikeet’s global Account Executive team. You’ll drive growth by securing mid-market and enterprise customers, expanding key markets, and shaping the company’s sales strategy alongside founders. Your role will involve:
- Own the full sales cycle for enterprise prospects, from prospecting to closing deals
- Develop deep understanding of customer support operations and articulate how Lorikeet’s AI can transform them
- Partner with product and implementation teams to ensure smooth customer onboarding
- Establish sales processes, documentation, and best practices for AI-first selling strategies
- Provide market intelligence and customer feedback to inform product development
- Build and nurture relationships with key decision-makers at target accounts
- Collaborate with sales leaders and founders to refine value proposition and sales messaging
- Meet and exceed revenue targets through new customer acquisition and expansion
You’ll sell a transformative AI solution delivering immediate and measurable ROI to customers, working with technical decision-makers who understand automation’s value.
About You
Lorikeet is seeking strategic, customer-focused sales professionals with:
- Passion for AI and ability to communicate its transformative potential to complex businesses
- Curiosity about customer business challenges and motivation to find tailored solutions
- Comfort selling to technical and business stakeholders in enterprise organizations
- Drive to make an impact and play a key role in an early-stage, fast-moving startup
As an early team member, you’ll shape the sales approach and influence the entire go-to-market strategy.
Key Requirements
- 5+ years of experience in new business/acquisition enterprise SaaS sales, ideally in B2B software or AI-driven solutions
- Proven track record of building pipeline and consistently meeting/exceeding sales targets in early-stage or entrepreneurial settings
- Experience with complex, consultative sales cycles and selling to multiple stakeholders
- Ability to communicate technical concepts and ROI to both technical and business audiences
- Curiosity about customer operations and excellent communication skills
- Experience with AI tools is a plus
Applicants must be based in the US and work in the United States without sponsorship.
Unique Opportunity Highlights
- A culture of low ego, high trust with flexible hours and a commitment to diversity
- Front-row seat to building something meaningful as a Series A startup with real scope to shape product and company direction
- Performance recognition in real time with promotions based on readiness, not arbitrary review cycles
- AI-native environment with unrestricted access to AI tools (e.g., Claude Code) for daily work
- Twice-yearly company retreats to Hawaii for collaborative hackathons and team-building
- Respectful recruitment process with informal chats and a paid ~two-day work trial
Diverse backgrounds are encouraged—please reach out even if you don’t tick every box.
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Lorikeet
View Company ProfileLorikeet (operating under lorikeetcx.ai, legally Lorikeet CX, Inc., formerly known as Optech) is the premier, enterprise-grade Agentic Customer Experience (ACX) platform, customer service AI pioneer, and automated workflow orchestration powerhouse engineered to serve as the definitive, high-velocity omnichannel resolution, customer intelligence, and digital interaction layer for scaling global brands, fintechs, and highly regulated healthtech systems. Founded by product and AI research visionaries Steve Hind (former product lead at Stripe and Watershed) and Dr. Jamie Hall (former Google Brain research tech lead and co-author on the landmark LaMDA and Meena AI papers), the company completely eliminates the severe systemic friction of modern enterprise customer support—where expanding organizations encounter crippling ticket volumes, high agent overhead, and basic chatbots that merely summarize help centers without solving actual customer issues—by deploying a sophisticated, multi-agent reasoning matrix. Moving far beyond traditional, passive decision-tree scripts or loose retrieval-augmented generation (RAG) models prone to hallucinations, Lorikeet natively unifies an Intelligent Graph architecture that strictly executes complex standard operating procedures (SOPs), multi-turn programmatic workflows, direct secure API action hooks to deep corporate back-ends (like Zendesk, Stripe, Shopify, and on-chain crypto networks), and real-time Voice AI infrastructure into a single high-availability, no-code AI concierge workspace. Solving tickets end-to-end—such as managing delayed e-commerce deliveries, processing multi-step financial refunds, and troubleshooting complex blockchain transactions—the system slashes chat first-response times from 30 minutes to under 60 seconds with 99% execution accuracy. Trusted by customer-obsessed high-growth brands including Airwallex, Linktree, Eucalyptus, Remote.com, and Flex, the platform has scaled rapidly across international footprints. Valued as an elite rising star in the conversational AI landscape, the firm has raised over $49 million in total elite institutional venture capital—anchored by a major Series A growth execution led by QED Investors alongside heavy participation from Square Peg Capital, AirTree Ventures, Blackbird Ventures, King River Capital, Skip Capital, and executives from OpenAI, Stripe, and Atlassian. Under the hood, its technology core utilizes advanced intent-recognition models, real-time multi-agent orchestration loops, and strict role-based access controls designed to isolate risky activities like account cancellations behind dynamic gating parameters without reducing live production velocity. What sets Lorikeet apart is its uncompromising dedication to replacing passive, informational chatbots with absolute real-world resolution predictability, deep system integrations, and multi-channel customer satisfaction; by bridging the gap between performance-intensive structural back-office data and natural, human-quality consumer interactions, the enterprise remains a definitive cornerstone of modern algorithmic customer support infrastructure and global AI business transformation.
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