AI Full-Stack Engineer, Growth

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 Own Build fast, compelling, conversion-focused web experiences for high-intent restaurant buyersCreate and iterate on landing pages, interactive demos, ROI tools, comparison experiences, and other acquisition productsEstablish reliable end-to-end attribution from source and campaign through demo booking, qualification, opportunity, and closed revenueInstrument product and marketing events, persist campaign context across domains and tools, and improve data quality across the funnelDesign an experimentation system for messaging, offers, page structure, onboarding, calls to action, and acquisition channelsImprove technical SEO and GEO foundations, including performance, crawlability, metadata, structured data, internal linking, and content architectureIntegrate and automate workflows across analytics, CRM, scheduling, advertising, content, and sales systems using APIs and server-side eventsApply AI to accelerate research, content operations, personalization, campaign analysis, and experiment generation while building appropriate review and quality controlsAnalyze funnel behavior and unit economics, identify the highest-leverage bottlenecks, and ship improvements rather than stopping at recommendationsPartner with Growth and Sales to define qualified-conversion metrics and ensure optimization targets reflect pipeline quality, not vanity volumeBuild reusable systems so the company can launch new product pages, vertical campaigns, and experiments quickly and safely Requirements 3+ years of industrial experience in relevant technical domainStrong full-stack web engineering experience, ideally with TypeScript, React, Next.js, APIs, and modern deployment platformsExperience building measurable user funnels, experimentation systems, analytics instrumentation, or growth products in productionWorking knowledge of SEO, web performance, conversion optimization, paid acquisition mechanics, and attribution; deep expertise in every channel is not requiredAbility to work with data using SQL or analytics tools and translate findings into prioritized product and engineering workExperience integrating third-party APIs and managing the reliability, consent, identity, and data-quality challenges they createStrong product taste and the ability to write or collaborate on clear, outcome-oriented customer experiencesA rigorous approach to experimental design and causality; you know the difference between correlation, directional evidence, and a trustworthy testAI-native working habits and a practical view of where automation needs human judgmentComfort owning business outcomes and collaborating closely with non-engineering partners Benefits Competitive Salary and Stock Option PlanMedical, dental, vision, retirement, leave, and disability benefits as applicableFamily LeaveShort Term & Long Term DisabilityPaid time off and company holidaysLearning and development support