AI Growth Engineer — Full-Stack for Measurable Pipeline

Worky; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Salary

Stock Option Plan

Medical, dental, vision

Retirement benefits

Family Leave

Disability benefits

PTO & company holidays

Learning and development support

Job summary

Palona is building a category-defining AI platform for restaurants. This role develops the growth-oriented tech stack, owning web experiences, SEO, attribution, and AI-enabled workflows that drive qualified demand and pipeline.

You’ll partner with Growth, Marketing, Sales, Product, and Design to ship measurable improvements across demos, calculators, and content systems, while maintaining production-grade engineering standards.

Qualifications

• 3+ years of industrial experience in relevant technical domain.
• Strong full-stack web engineering experience, ideally with TypeScript, React, Next.js, APIs, and modern deployment platforms.
• Experience building measurable user funnels, experimentation systems, analytics instrumentation, or growth products in production.
• Working knowledge of SEO, web performance, conversion optimization, paid acquisition mechanics, and attribution; deep expertise in every channel is not required.
• Ability to work with data using SQL or analytics tools and translate findings into prioritized product and engineering work.
• Experience integrating third-party APIs and managing the reliability, consent, identity, and data-quality challenges they create.
• Strong product taste and the ability to write or collaborate on clear, outcome-oriented customer experiences.
• A rigorous approach to experimental design and causality; you know the difference between correlation, directional evidence, and a trustworthy test.
• AI-native working habits and a practical view of where automation needs human judgment.
• Comfort owning business outcomes and collaborating closely with non-engineering partners.

Responsibilities

• Build 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.

Skills

TypeScript

React

Next.js

APIs

Analytics

Tools

SQL

Job description

Palona is building a category-defining AI platform for restaurants. This role develops the growth-oriented tech stack, owning web experiences, SEO, attribution, and AI-enabled workflows that drive qualified demand and pipeline.

You’ll partner with Growth, Marketing, Sales, Product, and Design to ship measurable improvements across demos, calculators, and content systems, while maintaining production-grade engineering standards.