Jobs at Lorikeet

Generate qualified pipeline through targeted outbound prospecting across fintech, healthtech, marketplace, and delivery accounts. Research prospects, personalize multi-channel outreach, qualify opportunities, support inbound follow-up, and collaborate with AEs, founders, demand generation, and product teams. Build AI-powered prospecting workflows and help establish the company’s BDR playbook, processes, metrics, and onboarding approach.

Build and ship end-to-end features for an AI-first customer support product. Work with coding agents, design UI/UX and data models, own features from idea to production, and collaborate on tooling and feedback systems to make agent-driven development reliable and shippable.

Own the complete mid-market B2B SaaS sales cycle, from prospecting and pipeline development through contract signing and expansion. Conduct consultative discovery with support and operations leaders, explain AI and ROI, manage multiple stakeholders, achieve revenue targets, support customer implementation, and relay market feedback to product and sales teams.

Own deployments and outcomes for strategic enterprise accounts using Lorikeet’s AI customer-support product. Lead implementation plans, executive relationships, procurement and security reviews, product adoption, retention, and expansion. Investigate customer problems using APIs, logs, and usage data; build, test, and deploy improvements; and partner with engineering and product teams. Coach other forward-deployed product managers and create repeatable playbooks based on cross-customer insights.

Own strategic enterprise customer deployments of Lorikeet’s AI support product, from implementation through expansion, retention, and measurable business outcomes. Partner with executives and engineers, investigate product issues using APIs, logs, and usage data, build and deploy improvements, navigate procurement and security reviews, identify new use cases, influence the product roadmap, and coach other forward-deployed product managers.

Own customer deployments and growth accounts for an AI customer-support product. Lead implementation plans, launch customers, improve and deploy product changes, teach customer teams to manage the platform, identify expansion opportunities, and provide evidence-based product feedback. The role combines product management, implementation, customer success, technical investigation, and account growth, using AI tools, APIs, conversation logs, and usage data.

Own customer deployments and growth accounts for an AI customer-support product. Lead implementation with forward-deployed engineers, improve and deploy product changes, teach customers to build and optimize Concierge, identify expansion opportunities, and communicate recurring customer problems to Product. The role combines customer success, product management, technical investigation, AI deployment, and account growth in a hybrid New York setting.

Build, test, and deploy AI workflows that resolve customer support queries in production. Analyze support tickets and data, identify automation opportunities, connect workflows to customer systems through APIs, test integrations, and participate in customer calls. The role provides hands-on experience with AI agent deployment, workflow design, API integrations, evaluation, and LLM fundamentals in regulated industries.

Own North American pipeline targets and build the demand generation function: design and run events, webinars, executive programs and integrated campaigns, set channel targets and budgets, build tracking/attribution/reporting, partner tightly with Sales, iterate channel plays, and define the long-term demand gen playbook.

Build AI-first customer support product features end-to-end: design, implement, and ship production systems; work closely with coding agents; create tooling and feedback systems; collaborate across teams to define UI/UX and data models.

Principal Software Engineer responsible for setting technical direction, owning major product architecture, solving high-scale reliability and AI-agent evaluation challenges, and building foundational systems. The role is hands-on, involving full-stack development, AI coding-agent tooling, technical mentorship, design reviews, and leading ambiguous projects from concept through production.

Build and ship AI-first customer support software end-to-end. Own production features, integrate and work with coding agents, design tooling and feedback systems, and shape UI/UX and data models. Collaborate across a small, high-calibre team to solve large-scale support problems for fintech, healthtech, and marketplace customers.

Own full enterprise sales cycle for Lorikeet's AI support automation: prospect, qualify, close, and expand mid-market and enterprise accounts. Partner with product and implementation teams for onboarding, establish sales processes and playbooks, provide market feedback to inform roadmap, and exceed revenue targets selling to technical and business stakeholders.

Pitch a role that highlights your exceptional skills and how they can add value to Lorikeet, regardless of the specific job title.