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.

A Zero-to-One Builder: You are highly hands-on, ship code fast, and love building things from scratch.
Domain Expert: You have deep, practical experience with AI/LLM systems, data infrastructure, or complex enterprise SaaS integrations.
Scrappy Yet Scalable: You are comfortable making critical architectural decisions under uncertainty and moving quickly without sacrificing quality.
An Entrepreneur at Heart: You have a strong "find a way" attitude, a hunger to build something massive, and want the high-impact environment of being hire #1.
A Leader: You have previously led engineering teams, or you are fully ready to step up, hire, and manage your own team.

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

יכולות ניהוליות מצוינות, יחסי אנוש טובים, התנהלות רגועה

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.

8+ years of experience building AI products, with at least 4+ years focused on Generative AI and Agentic AI systems.
Proven experience designing and deploying production-grade AI agents, including autonomous reasoning, planning, tool use, memory management, and multi-agent orchestration.
Hands-on experience with agent frameworks such as LangGraph, OpenAI Agents SDK, CrewAI, AutoGen, Semantic Kernel, or equivalent.
Strong experience implementing MCP (Model Context Protocol) and integrating external tools, APIs, enterprise systems, and knowledge sources.
Extensive experience with LLMs, including prompt engineering, RAG, long-context architectures, structured outputs, function/tool calling, and model evaluation.
Deep expertise in AI architecture, including memory systems, agent orchestration, guardrails, observability, evaluation, and production monitoring.
Proven experience leading AI and R&D organizations while remaining highly hands-on in architecture and technical decision-making.
Strong software engineering background with Python and modern AI development stacks.
Experience building and scaling cloud-native AI platforms on AWS, GCP, or Azure.
Experience designing secure enterprise AI solutions, including privacy, compliance, and responsible AI.
Excellent leadership and communication skills with the ability to translate research into scalable production systems.
Nice to HaveExperience building enterprise Agentic AI platforms serving thousands of users.
Experience developing adaptive learning, cognitive AI, recommendation engines, or personalization systems.
Experience with reinforcement learning, user modeling, or cognitive architectures.
Contributions to open-source AI frameworks or published research in AI.
Experience leading AI organizations from early-stage startup through scale.
PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Neuroscience, or a related field.

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.

• At least 1 year of experience in customer service-facing roles.
• High-level English, both written and verbal (native or bilingual proficiency) – Must.
• Excellent communication skills and customer-oriented attitude – Must.
• Ability to understand and communicate in Hebrew – Must.‍
• Knowledge of web technologies such as HTML & CSS – advantage.
• Strong troubleshooting capabilities.
• Ability to work in an agile, fast-paced, and dynamic environment.

‍

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.

We are a fast-paced stealth AI startup with a clear, aggressive timeline: build a robust MVP, scale, and achieve an Exit/M&A within 2 years. Unlike early-concept startups, we already possess a proprietary, breakthrough AI technology that gives us a massive unfair advantage and a commanding lead over the market.

We are looking for our First Employee—a brilliant developer to take ownership of our core engine and build the product ecosystem around it.

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.

Mandatory Requirements

• 5+ years of software development experience.

• At least 1 year of hands-on experience building production agentic systems, AI agents, or LLM-powered workflows.

• Strong experience with Python, including backend development and production services.

• Full-stack proficiency with React and Python, ideally 3+ years.

• Experience building RAG systems, including embeddings, vector databases, retrieval pipelines, reranking, and grounding techniques.

• Hands-on experience with LangGraph.

• 1+ years of experience working in an AWS environment.

• Strong understanding of LLM tool calling, agent state management, workflow orchestration, and multi-step reasoning.

• Experience integrating with APIs, databases, and data processing systems.

• Strong SQL skills and comfort working with structured business data.

• Experience deploying, monitoring, and debugging production systems.

Strong Advantages

• Experience with LangChain, LlamaIndex, OpenAI API, Anthropic Claude, Bedrock, or similar LLM platforms.

• Experience with FastAPI, Celery, Temporal, Airflow, Step Functions, or other workflow orchestration frameworks.

• Experience with vector databases such as Pinecone, Weaviate, Qdrant, pgvector, OpenSearch, or similar.

• Experience with data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.

• Experience building AI evaluation frameworks, automated test sets, golden datasets, or agent regression tests.

• Experience with observability tools such as LangSmith, OpenTelemetry, Datadog, CloudWatch, or similar.

• Familiarity with semantic layers, ontologies, knowledge graphs, metric stores, or business logic modeling.

• Experience with secure AI systems, including prompt-injection mitigation, access control, audit logs, and sensitive-data handling.

• Background in marketing analytics, BI, decision intelligence, or enterprise SaaS.

What You Bring

• You care about building AI systems that are reliable, explainable, and production-ready.

• You understand that great AI products require more than prompting: they require architecture, data grounding, evaluation, governance, and strong engineering.

• You are comfortable working in an early-stage startup environment where requirements evolve quickly and execution matters.

• You can collaborate closely with product, data, and domain experts to turn ambiguous business problems into working AI systems.

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.

• Proven experience as a data analyst, marketing analyst, growth analyst, or performance marketing analyst.

• Strong hands-on experience and deep understanding in digital marketing analytics.

• Experience working with marketing and revenue data from platforms such as Google Ads, Meta Ads, GA4, HubSpot, Salesforce, Shopify, Snowflake, BigQuery, or similar tools.

• Ability to translate ambiguous business questions into structured analytical frameworks.

• Strong SQL and data analysis skills. Python is a plus.

• Experience with advanced AI tools such as Claude, ChatGPT, GitHub Copilot, Cursor, or similar tools.

• Familiarity with agentic workflows, AI automation, semantic layers, or LLM-based analytics is a strong advantage.

• Strong business judgment and ability to think like a marketing leader, not only like an analyst.

• Comfort working in an early-stage startup environment with ambiguity, speed, and hands-on execution.

Nice to Have

• Experience in e-commerce, B2C, SaaS, marketplaces, or performance media agencies.

• Experience with attribution, MMM, incrementality testing, cohort analysis, or LTV modeling.

• Experience building dashboards, data models, metric layers, or analytics playbooks.

• Prior work with growth teams, CMOs, Heads of Growth, Marketing Ops, RevOps, or performance agencies.

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

1 – Full Stack פתוח תוכנה עם ניסיון. עדיפות לניסיון ב  nodeJS

2 – ידע וניסיון בפתוח ושילוב סוכני AI

3 – יכולות DevOps

4 – ניסיון בתפעול בענן

5 – יכולת וניסיון בריכוז, הנחייה והדרכת צוות מפתחים קטן שעובד בכלי AI

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 .

•    נסיון בניהול / תפעול ציי רכב חשמלי

•    ידע במערכות פוינטר ו/או איתורן

•    הבנת תהליכי לוגיסטיקה ורכב כבד

•    יתרון – נסיון באפיון ממשק משתמש ושיווק דיגטלי

•    תקשורת מצוינת עברית + אנגלית

יכולת הצגה בפני מנהלים בכירים

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

מי יכולה להתאים?

Experience

• 5+ שנות ניסיון בתפקידי Data Engineering / Platform / DevOps.
• ניסיון מוכח בבניית data platforms from scratch (לא תחזוקה של קיים).

Technical Core (חובה)

• Python (type hints, async, testing) + SQL.
• Orchestration: Airflow / Dagster / Prefect, DAGs (production grade).
• Cloud-native: AWS/ GCP + IaC (Terraform)
• Containerization: Docker, Kubernetes – ownership level.
• Data stack: dbt, Spark / DuckDB / Snowflake / BigQuery.
• Streaming: Kafka / Kinesis / Pub/Sub.

Technical Depth (אחד מהשניים לפחות)

Data Engineering: data modeling (dimensional, Data Vault), performance tuning, cost optimization.
MLOps: feature stores (Feast/Tecton), model serving (BentoML/Ray Serve), experiment tracking (MLflow/W&B).

Founder DNA

• מנטליות של owner — לא waiting for permission.
• Comfortable with ambiguity — אין PM שיכתוב לך ticket.
• תקשורת ישירה, מוכנות לסיעור מוחות מקצועי.
• Bias for action עם שיקול ארכיטקטוני — לא "נתקן אחר כך" על decisions בסיסיים.
• מוכנות ל-equity כחלק מהותי מהתגמול.

➕ Nice to Have

• ניסיון עם scraping stack בסקייל (proxy rotation, headless browsers, anti-bot).
• NLP applied: NER, entity resolution, embeddings.
• תואר שני באחד מ: CS, Data Engineering, מערכות מידע.
• ניסיון הובלת צוות (גם קטן)*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.

Requirements
+3 years experience in front-end development.
+3 years experience in NodeJS backend development of REST API services.
Proficiency in React.
Experience in SQL DB such as MS-SQL, etc.
Experience designing and building a responsive and reactive web application.
Experience working with NextJS – Advantage.
Experience working with AWS – Advantage.
Experience in a teamwork environment and eager to learn new technologies.
Excellent communication skills.
Experience working in agile team environments.

This is an on-site position based in our offices in Ramat Hashron (Glilot)

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.

• At least 1 year of experience in customer service-facing roles.
• High-level English, both written and verbal (native or bilingual proficiency) – Must.
• Excellent communication skills and customer-oriented attitude – Must.
• Ability to understand and communicate in Hebrew – Must.‍
• Knowledge of web technologies such as HTML & CSS – advantage.
• Strong troubleshooting capabilities.
• Ability to work in an agile, fast-paced, and dynamic environment.

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.

• 2–4 years of experience in BDR/SDR or similar outbound sales role (must)
• 1+ years of experience coaching, mentoring, or leading BDRs (formal or informal)
• Expertise with AI-powered outbound and prospecting workflows
• Proven ability to consistently generate qualified meetings and pipeline
• Strong experience working with HubSpot (or similar CRM) and outreach tools
• Excellent written and verbal communication skills
• Highly organized, detail-oriented, and metrics-driven
• Ability to thrive in a fast-paced startup environment

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.

• 5+ years of experience as a Fullstack Developer, with a focus on NodeJS and React.
• Experience implementing and consuming large-scale production services.
• Experience with SQL/NoSQL, AWS, and Docker.
• Strong design principles, and strive to write clean, reusable code.
• Architectural design using micro-services
• Fluent English (written & spoken)
• A team player with a can-do attitude.
• E-commerce experience is a big advantage

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

• 3+ years of experience in tech project management/Sales Engineer, customer-facing products for global SaaS companies
• Extremely organized with strong attention to detail
• Expert in project management with a technical background (API/EDI knowledge)
• Experience with systems like SFCC/SF OMS/NetSuite – an advantage
• Familiarity with project management tools like Jira, Monday, Airtable, and alike.
• Knowledge in the US &/or EU retail & brand market – an advantage
• Problem solver who works well in a fast-paced environment
• Ability to prioritize workload and meet tight deadlines
• Strong interpersonal and communication skills in English – written and verbal (native speaker level) – Mandatory
• Passion for innovative solutions and process improvement
• A team player with a can-do attitude
• Working days: Monday-Friday

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.

• 5+ years of experience as a Backend Developer, focusing on NodeJS/JS/TS.
• Experience implementing and consuming large-scale production services.
• Experience with SQL/NoSQL, Cloud Platforms, Queuing mechanisms, Caching, and Docker.
• Strong design & testing principles.
• Ability to articulate a technical solution for both technical and non-technical audiences.
• Fluent English (written & spoken)
• A team player with a can-do attitude.
• Experience with Python/PySpark/React
• Prior team-leader experience.
• E-commerce experience is a significant advantage

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.

3+ years of experience in QA engineering – Must
At least 2 years of hands-on experience writing and maintaining automation test cases, with a solid grasp of coding principles – Must
Proven ability to create and manage QA documentation (test plans, test results, etc.) with an excellent understanding of QA processes and methodologies.
Excellent analytical, technical, and problem-solving skills.
Creative problem-solving skills for complex testing challenges.
Ability to work both independently and as part of a team.
QA course + ISTQB certification – Advantage
Experience with Playwright automation framework – Advantage