What You’ll Own
The Technical Roadmap: Own the entire technical side end-to-end architecture, build, delivery, and technical direction.
Scale: Lead the transition of our product from MVP to a robust, scalable enterprise-grade platform.
Team Building: Recruit, mentor, and lead our first engineering hires, eventually shaping the entire technical organization.
Leadership & Strategy: Act as the technical voice in front of investors, design partners, and customers, working directly alongside the founders.
Company Culture: Shape our engineering culture, technical vision, and architectural standards from day one.

ניהול החברה, גיוס משקיעים, פיתוח מוצר, תכנון כניסה לארה״ב,

Company Description

PaiDevo is dedicated to transforming corporate learning by using AI-driven personalization to unlock human potential. Our Adaptive Learning Intelligence as a Service (ALIAS) platform integrates seamlessly into existing corporate learning systems, creating personalized experiences that enhance learner engagement and improve outcomes. Drawing on insights from cognitive science and educational psychology, PaiDevo’s proprietary AI adapts content and pacing to match individual learning styles and needs. By empowering organizations with advanced tools for tailored learning, PaiDevo drives meaningful results, including increased productivity, faster skill acquisition, and reduced churn. Our mission is to nurture growth and foster skills that generate measurable business impact.

Role Description

We are seeking a visionary VP AI for a full-time, remote position. Initially, this role is equity-based, with full salary to follow upon successful funding. The VP AI will lead AI strategy, development, and R&D for our company, combining hands-on model development with leadership of all AI and R&D activities. The role drives innovation in adaptive learning technologies while ensuring ethical AI practices.

The VP AI will define the AI vision, oversee architecture and pipelines, and directly manage all R&D teams, from AI research to engineering. The position involves continuous exploration of emerging AI technologies, translating them into production-ready solutions, and aligning AI initiatives with organizational goals.

We're looking for a Customer Support Engineer who has a passion for helping customers to join our support team and get the most out of our product.

In this role, you’ll be the point of contact for our customers, responsible for solving problems and ensuring they have the best experience with our product and our team.

We're looking for someone energetic, tech-savvy, who has high-level English and superb interpersonal skills.

** The position is full-time and requires the availability to work up to two evenings a week and 2 weekend shifts per month (Friday morning / Saturday Night).**ֿ

As a Customer Support Engineer at Loox, you will:

• Be in charge of our customer happiness and deliver amazing service.
• Become a product expert who knows the ins and outs of what Loox has to offer by helping our customers maximize the value they receive from us.
• Proactively identify opportunities and optimization points to help our customers grow.
• Represent the customer voice internally in Product, Marketing, and Business Development discussions.

Compensation: Equity-Based (Founding Layer) | Target Exit: 2 Years.

As our first engineer, you will not just write code; you will shape the entire technical lifecycle:

Architecture & Scaling: Design and build our Full-Stack and Cloud infrastructure from scratch.

AI Integration: Own and integrate our proprietary AI core engine into a seamless commercial platform.

Rapid MVP Delivery: Drive fast, agile product iterations to hit the market at lightspeed.

Tech Stack Ownership: Make critical decisions on the technology stack without corporate bureaucracy.

Requirements

5+ years of Full-Stack experience (Python, Node.js, React, TypeScript, or similar).

Early-stage startup DNA: Proven experience building in fast, ambiguous, and high-growth environments (Seed/Early Stage is a must).

Cloud & DevOps proficiency: Hands-on experience with AWS/GCP, Docker, and CI/CD pipelines.

AI/Data affinity: Strong background or deep interest in LLMs, AI agents, and orchestration frameworks.

Owner Mindset: A builder who can execute end-to-end autonomously.