AI Software Engineer, Growth

Palona Ai Full-Stack Engineer Palona is building a category-defining AI platform for restaurants. This role builds the technical growth system that helps the right restaurant owners, operators, franchise leaders, and technology buyers discover Palona, understand its value, experience the product, and become qualified opportunities. We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine optimization, paid acquisition infrastructure, attribution, analytics, and AI-enabled growth workflows. You will work across the public website, landing pages, demos, calculators, content systems, marketing and sales integrations, and the data pipelines that connect acquisition to revenue. The objective is not broad traffic or dashboard activity. It is a measurable, compounding system for qualified demand and pipeline. You will partner closely with Growth, Marketing, Sales, Product, and Design while remaining a production engineer with a high bar for code quality, performance, measurement, and user experience. What You'll OwnBuild fast, compelling, conversion-focused web experiences for high-intent restaurant buyers. Create and iterate on landing pages, interactive demos, ROI tools, comparison experiences, and other acquisition products. Establish reliable end-to-end attribution from source and campaign through demo booking, qualification, opportunity, and closed revenue. Instrument product and marketing events, persist campaign context across domains and tools, and improve data quality across the funnel. Design an experimentation system for messaging, offers, page structure, onboarding, calls to action, and acquisition channels. Improve technical SEO and GEO foundations, including performance, crawlability, metadata, structured data, internal linking, and content architecture. Integrate and automate workflows across analytics, CRM, scheduling, advertising, content, and sales systems using APIs and server-side events. Apply AI to accelerate research, content operations, personalization, campaign analysis, and experiment generation while building appropriate review and quality controls. Analyze funnel behavior and unit economics, identify the highest-leverage bottlenecks, and ship improvements rather than stopping at recommendations. Partner with Growth and Sales to define qualified-conversion metrics and ensure optimization targets reflect pipeline quality, not vanity volume. Build reusable systems so the company can launch new product pages, vertical campaigns, and experiments quickly and safely.