Publié il y a 3 mois
AI Software Engineer, Growth
@ Palona AI
Toronto, Ontario
En bref
Palona AI is hiring an AI Full-Stack Engineer, Growth, a full-time role building the technical growth system that brings restaurant buyers to Palona and turns them into qualified pipeline. The work covers conversion-focused web experiences, experimentation, SEO and GEO, attribution, analytics, and API-driven growth workflows. The posting states competitive salary, stock options, and medical, dental, vision, retirement, leave, disability, and paid time off benefits.
Responsabilités :
- Build conversion-focused web experiences and demos for restaurant buyers
- Establish end-to-end attribution from campaign to closed revenue
- Design and run experimentation systems for messaging and funnels
- Improve technical SEO and GEO foundations
- Integrate analytics, CRM, scheduling, and advertising systems via APIs
Résumé des exigences :
- 3+ years of industrial experience in a relevant technical domain
- Strong TypeScript, React, Next.js and API experience
- Experience with measurable funnels and experimentation in production
- Working knowledge of SEO, performance, and attribution
- Ability to work with SQL or analytics tools
- Rigorous approach to experimental design and causality
Outils et compétences
Avantages mentionnés
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2026-08-10
- Première détection par notre source
- 2026-10-09
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 3 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Avantages mentionnés | Congés payés généreux, Régime de retraite |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Palona AI
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
Bring your brand to life. Make your customers fall in love.
Description complète de l’entreprise
We are building a new, completely proprietary AI system with multi-agents, multimodal-to-action models, combined with unrivaled emotional intelligence language models to empower businesses to scale by delivering a high-touch customer experience, automation and efficiency. Our AI Agents will supercharge the core of your business.
- Abonnés LinkedIn
- 3 005
- Personnes associées sur LinkedIn
- 31
- Bureaux déclarés
- Menlo Park, CA 94025, US
- Catégories d’activité
- Brand Marketing
- Software
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Palona AI
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 10 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
We are building a new, completely proprietary AI system with multi-agents, multimodal-to-action models, combined with unrivaled emotional intelligence language models to empower businesses to scale by delivering a high-touch customer experience, automation and efficiency. Our AI Agents will supercharge the core of your business.
| Champ | Valeur |
|---|---|
| Secteur | Software Development |
| Taille | 11-50 employees |
| Siège social | Menlo Park, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2024 |
| Offres sur Jobsy | 5 |
| Voir la page |
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 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.
Requirements
- 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.
Benefits
- Competitive Salary and Stock Option Plan.
- Medical, dental, vision, retirement, leave, and disability benefits as applicable.
- Family Leave
- Short Term & Long Term Disability
- Paid time off and company holidays.
- Learning and development support.
Journal
Visible seulement par vous. Conservé sur cet appareil, et dans votre compte une fois connecté.