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.

Valority is building Luke, an autonomous AI decision engine for marketing and growth teams. Luke connects fragmented marketing, funnel, CRM, and revenue data, understands business context through a semantic operating layer, and delivers trusted, explainable, financially grounded insights and recommendations.

We are looking for an AI Engineer with hands-on experience building production-grade agentic systems. This role is ideal for an engineer who can move beyond prototypes and build reliable AI workflows that reason over
.enterprise data, execute analytical tasks, and produce explainable outputs users can trust.

What You’ll Do

• Build and maintain production-grade AI agents and agentic workflows for Luke’s decision engine.

• Design multi-step agent reasoning flows, including planning, tool calling, state management, retries, error handling, and workflow orchestration.

• Implement RAG and semantic retrieval capabilities across structured and unstructured enterprise knowledge.

• Integrate LLM workflows with Luke’s Semantic OS, including KPIs, business entities, formulas, mappings, policies, and guardrails.

• Build agent tools that interact with databases, APIs, analytical models, and external systems.

• Develop backend services in Python and user-facing workflows in React.

• Implement evaluation frameworks for agent quality, including task success, factuality, trajectory quality, tool-call accuracy, robustness, and consistency.

• Build safeguards for prompt injection, hallucination detection, data leakage prevention, PII masking, and output validation.

• Collaborate with product, data science, and domain experts to translate business use cases into reliable AI workflows.

• Help design infrastructure for observability, tracing, auditability, and explainability of AI-generated insights and recommendations.

We’re building Luke, an autonomous AI decision engine for marketing and growth teams. Luke helps teams turn fragmented marketing, funnel, CRM, and revenue data into trusted, explainable, financially grounded decisions.

We’re looking for a Marketing Data Analyst / Domain Expert to help us build the analytical and semantic foundation that powers Luke’s reasoning, recommendations, and decision workflows.

What You’ll Do

• Help define Luke’s marketing and growth domain ontology, including core entities, KPIs, formulas, business concepts, workflows, and best practices.

• Map key marketing questions, like where and why funnel leakage occurs,  into structured analytical logic.

• Collaborate on the design of AI analyst reasoning paths, ensuring Luke can move from data to root-cause analysis, recommendations, and action logic.

•

• Help design explainable recommendation frameworks, including drivers, assumptions, confidence levels, financial impact, and suggested actions.

• Work with product, data science, and engineering teams to translate marketing expertise into reusable analytical skills, semantic rules, agent workflows, and real-life recommendations.

• Review AI-generated insights and recommendations to ensure they are accurate, practical, and aligned with how marketing and growth teams actually operate.

התפקיד כולל אחריות על פתוח מערכת תוכנה משולבת AI להנחיית קבוצות לתמיכה נפשית וחיזוק חוסן בארגונים ובקהילות.

אנחנו מחפשים מנהל/ת פתוח עסקי ומכירות עם רקע בניהול ציי רכב ותחבורה. התפקיד משלב ידע תפעולי בציי רכב מגוונים עם יכולת ליווי לקוחות B2B/B2G , עיריות וחברות נהול ציי רכב .

ליוזמה חדשנית בתחום ה-HRTech וה-AI דרושה מייסדת שלישית
Co-Founder | Founding Data & Platform Lead

מי אנחנו?

מיזם בשלבי הקמה מחפש שותפה שלישית להצטרפות במודל תגמול מבוסס אקוויטי (Equity), עם אחריות להובלת תחום הדאטה והפלטפורמה מקצה לקצה

התפקיד כולל בנייה של data backbone מאפס, החל מ-ingestion של מקורות דאטה מגוונים, דרך data modeling מתקדם, ועד הטמעה ותחזוקה שוטפת של מודלי Machine Learning בפרודקשן.

זהו תפקיד היברידי המשלב:
Data Engineering, Platform Engineering ו-MLOps, עם פוטנציאל צמיחה לתפקיד Chief Data Officer.

מה כולל התפקיד

• Data Ingestion Layer: איסוף ממקורות שונים (job boards, APIs וכו’) כולל התמודדות עם rate limits ו־schema changes
• ETL / ELT Pipelines: ניקוי, נירמול, deduplication ו־entity resolution + enrichment מבוסס NLP
• Data Warehouse: תכנון בניה ותחזוקה של DWH כולל סכמות, time-series ו־data quality
• Platform Infrastructure :CI/CD, IaC, observability ושליטה בעלויות
• ML Infrastructure (בהמשך) — feature store, model serving, monitoring, fine-tuning pipelines ו־retraining loops

*מוכוון לגברים ונשים כאחד

The role
We’re looking for a senior full stack developer who has vast experience in building web-based applications (client + server). We are looking for someone who has the right mix of technical and leadership skills to help grow our development team.

In this role, you will work on
Design the architecture of our future products and infrastructure.
Define and implement web development practices, procedures, and tools to enhance quality and productivity.
Develop APIs, UI, and tools used in the core of the company’s operation.
Create a rich and engaging user experience.
Optimize the applications to maximize performance.
Maintain high standards of code quality while ensuring application performance, reliability, and scalability.

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).**

• 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.

e’re looking for a Head of BDR to lead our outbound engine. This role is for a proven sales development leader with strong hands-on outbound experience and a track record of managing and scaling BDR teams — owning team performance, outreach strategy, pipeline quality, and day-to-day execution.

You’ll manage a team of BDRs while staying close to the field: testing messaging, improving processes, coaching reps, and partnering tightly with Sales and Marketing to ensure we consistently generate qualified pipeline.

Key Responsibilities

• Lead & coach a team of BDRs to hit monthly meeting and pipeline targets (1:1s, call reviews, onboarding support).
• Own outbound strategy — build and optimize sequences, messaging, and targeting across email/LinkedIn.
• Drive pipeline execution — prioritize accounts, ensure high-quality qualification, and manage smooth handoffs to Sales.
• Team enablement: Lead by example, remove blockers in real time, and build the processes and tools the team needs to execute faster and smarter.
• Own CRM discipline — maintain accurate tracking, reporting, and lead management in HubSpot and outreach tools.
• Own and grow referral partner channels, activating and nurturing partners to drive qualified opportunities into the pipeline.
• Partner cross-functionally with Sales and Marketing to improve ICP, campaigns, and conversion rates.

We are looking for a STELLAR Fullstack Developer with experience in developing high-quality backend/frontend infrastructures and services.

• Take full responsibility for the development and deployment of a robust enterprise SaaS which serves leading brands and 1000's of their retail partners
• Ensure code quality and maintainability by adhering to best practices, code reviews, and testing frameworks.
• Mentor and support junior team members, providing guidance and knowledge sharing as needed.

We are looking for a Technical Project Manager to join our customer operations team and work closely with the Delivery/Support/Data/Product/Development teams to ensure the swift onboarding of new merchants to our platform.

• Collaborate with cross-functional teams, Product & R&D teams, and business stakeholders to gather requirements and design/lead new merchant onboarding projects.
• Identify and assess risks and issues during implementations, provide mitigation options, and escalate them to senior management as needed.
• Develop, monitor, and report on project plan progress, ensuring adherence to timelines and business requirements.
• Lead the onboarding process with new merchants
• Be an expert in Cymbio's onboarding processes and integrations
• Own internal documentation and establish best practices for all internal processes

We are looking for a Senior Backend Developer with experience developing high-quality backend infrastructures and services.

• Take full responsibility for the development and deployment of a robust enterprise SaaS that serves leading brands and 1000's of their retail partners.
• Ensure code quality and maintainability by adhering to best practices, code reviews, and testing frameworks.
• Mentor and support junior team members, providing guidance and knowledge sharing as needed.

We are seeking a talented and experienced QA Engineer to join our R&D team – an exciting opportunity for someone passionate about software quality, automation, and modern testing strategies.

As a key member of our team, you will work closely with developers, product managers, and designers to ensure the highest quality of our web applications. If you thrive on ensuring software excellence, collaborating across teams, and driving continuous improvement – including leveraging AI tools to enhance both manual and automated QA processes, we’d love to hear from you!

As a QA Engineer at Loox, you will:
Perform hands-on testing of new features (manual validation, exploratory testing, regression testing) to ensure they meet our quality standards.
Develop, maintain, and execute automated tests using Playwright testing frameworks.
Use AI tools to improve QA workflows
Write comprehensive QA documentation, including test plans, test cases, test results, and bug reports.
Work cross-functionally with developers, product managers, and designers to ensure quality throughout the development lifecycle.
Identify, document, reproduce, and track bugs – and validate fixes.
Contribute to the continuous improvement of QA methodologies, including AI-assisted testing processes.